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Is Putin’s popularity real?

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Abstract

Vladimir Putin has managed to achieve strikingly high public approval ratings throughout his time as president and prime minister of Russia. But is his popularity real, or are respondents lying to pollsters? We conducted a series of list experiments in early 2015 to estimate support for Putin while allowing respondents to maintain ambiguity about whether they personally do so. Our estimates suggest support for Putin of approximately 80%, which is within 10 percentage points of that implied by direct questioning. We find little evidence that these estimates are positively biased due to the presence of floor effects. In contrast, our analysis of placebo experiments suggests that there may be a small negative bias due to artificial deflation. We conclude that Putin’s approval ratings largely reflect the attitudes of Russian citizens.

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... One question type that can cause an ambiguous reaction depending on the sociocultural context is political questions. The willingness to answer political questions largely depends on the attitude towards politics and the current political regime in the country (Frye et al., 2017;Ratigan & Rabin, 2020 Another increasingly important factor of survey data quality is the mode of administration. The number of cross-national surveys using more modes within/among countries has been steeply increasing (E. ...
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List experiments are widely used in the social sciences to elicit truthful responses to sensitive questions. Yet, the research design commonly suffers from the problem of measurement error in the form of non-strategic respondent error, where some inattentive participants might provide random responses. This type of error can result in severely biased estimates. A recently proposed solution is the use of a necessarily false placebo item to equalize the length of the treatment and control lists in order to alleviate concerns about respondent error. In this paper we show theoretically that placebo items do not in general eliminate bias caused by non-strategic respondent error. We introduce a new option, the mixed control list, and show how researchers can choose between different control list designs to minimize the problems caused by inattentive respondents. We provide researchers with practical guidance to think carefully about the bias that inattentive respondents might cause in a given application of the list experiment. We also report results from a large novel list experiment fielded to over 4900 respondents, specifically designed to illustrate our theoretical argument and recommendations.
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Incumbents have many tools to tip elections in their favor, yet little is known about how they choose between strategies. By comparing various tactics, this article argues that electoral malpractice centered on manipulating institutions offers the greatest effectiveness while shielding incumbents from public anger and criminal prosecution. To demonstrate this, the study focuses on a widespread institutional tactic: preventing candidates from accessing the ballot. First, in survey experiments, Russian voters respond less negatively to institutional manipulations, such as rejecting candidates, than to blatant fraud, such as ballot box stuffing. Next, using evidence from 25,935 Russian mayoral races, the article shows that lower societal and implementation costs enable incumbents to strategically reject candidacies from credible challengers and then reduce their electoral vulnerability. In all, the technology behind specific manipulations helps determine when and how incumbents violate electoral integrity.
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How do autocrats build support? This study argues that autocrats create and maintain participatory technologies—elite-mass communication strategies that promote two-way interaction between citizens and leaders—to foster support. Participatory technologies provide citizens with the opportunity to have a limited voice in otherwise closed political systems. I test this theory through a series of two nationally-representative survey experiments in Russia. Results suggest that awareness of participatory technologies increases approval of President Putin and improves perceptions that there are opportunities for voice in politics. This finding departs from previous research that suggests public opinion is influenced primarily by participation. Furthermore, I demonstrate that these effects can be directly attributed to the communicative format of these strategies, not to issue resolution or leadership effects. Finally, I demonstrate that effects are dependent upon individuals’ political sophistication and political priors, contributing to political polarization and opening up the potential for backlash against the regime.
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How do international laws affect citizens' willingness to accept refugees? In full and partial democracies, citizens' attitudes can influence national policy. A growing literature suggests that international institutions can influence citizens' attitudes on foreign policy issues, and therefore lead to policy change, but those studies are almost entirely confined to domestic human rights and U.S.‐based respondents; none consider refugee policy. Using data from a survey experiment administered in September 2017 via face‐to‐face interviews with 1,335 citizens of Turkey, we investigate how international norms affect citizens' willingness to accept refugees. Our findings are surprising: reminding people about the government's responsibility under the Refugee Convention to accept refugees triggers a backfire effect, decreasing support for accepting them. This effect appears driven by respondents who support the incumbent AKP Party and by lower‐educated respondents. We therefore provide evidence that international refugee law—and perhaps international institutions generally—can trigger a political backlash, undermining the very policies that they promote.
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List experiments (LEs) are an increasingly popular survey research tool for measuring sensitive attitudes and behaviors. However, there is evidence that list experiments sometimes produce unreasonable estimates. Why do list experiments “fail,” and how can the performance of the list experiment be improved? Using evidence from Kenya, we hypothesize that the length and complexity of the LE format make them costlier for respondents to complete and thus prone to comprehension and reporting errors. First, we show that list experiments encounter difficulties with simple, nonsensitive lists about food consumption and daily activities: over 40 percent of respondents provide inconsistent responses between list experiment and direct question formats. These errors are concentrated among less numerate and less educated respondents, offering evidence that the errors are driven by the complexity and difficulty of list experiments. Second, we examine list experiments measuring attitudes about political violence. The standard list experiment reveals lower rates of support for political violence compared to simply asking directly about this sensitive attitude, which we interpret as list experiment breakdown. We evaluate two modifications to the list experiment designed to reduce its complexity: private tabulation and cartoon visual aids. Both modifications greatly enhance list experiment performance, especially among respondent subgroups where the standard procedure is most problematic. The paper makes two key contributions: (1) showing that techniques such as the list experiment, which have promise for reducing response bias, can introduce different forms of error associated with question complexity and difficulty; and (2) demonstrating the effectiveness of easy-to-implement solutions to the problem.
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The article offers a critical overview of nine views common in academia related to Russian messianism. The main premise of messianism which is important for its political dimension, is: Providence has a plan along which History unfolds, and in this plan the chosen one (individual or collective) has a special role to play (mission). Under «mission» we understand that a certain community (state/nation) is exceptional and that this exceptionality manifests itself in its special destiny. I discern three distinctive, but interconnected, features of «mission»: (1) the conviction of having a special destiny, (2) a sense of moral superiority, (3) the conviction that the state’s activity is motivated not only by its own national interest but also by a higher cause important for a broader (regional, global etc.) community. The first two components of mission express exceptionalism of the mission-beholder, while the third component refers to the universalistic nature of the calling. This selection of nine views is not a complete catalogue but it does include the core concepts that may be encountered while reading about Russian messianism. The article seeks to verify and put in order the existing body of knowledge on this topic. The critical verification is based on the material that comes from two main sources. The first is the existing body of academic literature (in English and Russian) which is used to identify and cross-examine the views circulating among academia. The second source comes with the material gathered as a result of the content and discourse analysis of the official statements of Vladimir Putin. The article is structuralised along the enumeration of nine popular views on Russian messianism. Each view is critically combined with the academic literature and the empirical data. The views discussed in the article tend to essentialise Russian messianism and essentialise Russia as well.
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Respondents often answer ‘don’t know’ to sensitive survey questions to avoid revealing their true opinions, especially in post-conflict societies, thus requiring difficult decisions for analysing affected survey data. Using the same five sensitive questions in ten surveys from conflict-affected societies in the former Soviet Union in the period 2005–2014, methods for coping with missing data resulting from ‘don’t know’ responses are presented. Many commonly applied missing data treatments are shown to be incompatible with the missing data mechanism for politically sensitive questions, while also significantly affecting statistical results and conclusions. Ultimately, knowledge of local context is paramount for choosing proper missing data treatments.
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Eliciting honest answers to sensitive questions is frustrated if subjects withhold the truth for fear that others will judge or punish them. The resulting bias is commonly referred to as social desirability bias, a subset of what we label sensitivity bias. We make three contributions. First, we propose a social reference theory of sensitivity bias to structure expectations about survey responses on sensitive topics. Second, we explore the bias-variance trade-off inherent in the choice between direct and indirect measurement technologies. Third, to estimate the extent of sensitivity bias, we meta-analyze the set of published and unpublished list experiments (a.k.a., the item count technique) conducted to date and compare the results with direct questions. We find that sensitivity biases are typically smaller than 10 percentage points and in some domains are approximately zero.
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This paper seeks to explain the surprising decline in Russian President Vladimir Putin's approval rating in 2011. During the previous 10 years, Putin's rating had correlated closely with Russians' perceptions of the state of the economy. Yet the fall in his approval – from 79% in December 2010 to 63% a year later – occurred despite roughly stable economic perceptions. Comparing Levada Center polls from late 2010 and 2011, the paper explores both who (what types of respondents) grew disenchanted with Putin, and why (what issues or grievances prompted this switch). It finds that (a) the fall in support for the Kremlin – although faster among members of the “creative class,” women, the rich, and residents of provincial cities – was broad-based, occurring among all social groups examined; (b) attitudes toward immigration, the West, and Russia's international status, as well as assessments of public service quality, changed little during 2011; (c) Putin's declining popularity most likely reflected stronger – not weaker – economic concerns; although the proportion judging economic performance to be poor did not increase, those who saw economic weakness became much less supportive of the Kremlin. Russians appear to have increasingly blamed their political leaders for unsatisfactory economic and political outcomes.
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Surveys usually yield rates of voting in elections that are higher than official turnout figures, a phenomenon often attributed to intentional misrepresentation by respondents who did not vote and would be embarrassed to admit that. The experiments reported here tested the social desirability response bias hypothesis directly by implementing a technique that allowed respondents to report secretly whether they voted: the “item count technique.” The item count technique significantly reduced turnout reports in a national telephone survey relative to direct self-reports, suggesting that social desirability response bias influenced direct self-reports in that survey. But in eight national surveys of American adults conducted via the Internet, the item count technique did not significantly reduce turnout reports. This mode difference is consistent with other evidence that the Internet survey mode may be less susceptible to social desirability response bias because of self-administration.
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Methods of Indirect Estimation The Item Count Method The National Household Seroprevalence Survey Pretest Preliminary Testing: Focus Groups and Individual Cognitive Interviews Controlled Experiments Final Version of Item Count Used in the NHSS Pretest Results from the NHSS Pretest Conclusions The Simplest form of the Item Count/Paired Estimator Showcard with Sample Item
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Although much of the world still lives today, as always, under dictatorship, the behaviour of these regimes and of their leaders often appears irrational and mysterious. In The Political Economy of Dictatorship, Ronald Wintrobe uses rational choice theory to model dictatorships: their strategies for accumulating power, the constraints on their behavior, and why they are often more popular than is commonly accepted. The book explores both the politics and the economics of dictatorships, and the interaction between them. The questions addressed include: What determines the repressiveness of a regime? Can political authoritarianism be 'good' for the economy? After the fall, who should be held responsible for crimes against human rights? The book contains many applications, including chapters on Nazi Germany, Soviet Communism, South Africa under apartheid, the ancient Roman Empire and Pinochet's Chile. It also provides a guide to the policies which should be followed by the democracies towards dictatorships.
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Despite its wide usage in explaining some nontrivial dynamics in nondemocratic systems, preference falsification remains an empirical myth for students of authoritarian politics. We provide to our knowledge the first quantitative study of preference falsification in an authoritarian setting using a rare coincidence between a major political purge in Shanghai, China, and the administration of a nationwide survey in 2006. We construct two synthetic measures for expressed and actual support from a set of survey questions and track their changes before and after the purge. We find that after the purge there was a dramatic increase in expressed support among Shanghai respondents, yet the increase was paralleled by an equally evident decline in actual support. We interpret this divergence as evidence for the presence of preference falsification. We also find that variations in the degree of preference falsification are jointly predicted by one’s access to alternative source of information and vulnerability to state sanctions. Using two additional surveys conducted over the span of a year, we further show that there was substantial deterioration in political trust in Shanghai six months after the purge, which suggests that falsification could not sustain public support in the long run.
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Vladimir Putin's skyrocketing approval ratings originate from current political developments involving the annexation of Crimea, the para-military conflict in South-Eastern Ukraine, and the rapid elevation of political tensions between Russia and the West. The hearts and minds of Russians are also affected by a mighty state propaganda machine, which has crystallized monolithic pro-Putin support among the Russians and allowed his approval to reach as high as 90%. This research poses several crucial questions with respect to Putin's popular support. What is the magnitude of inflation in Putin's approval ratings associated with social desirability bias, both in general, and in particular, across different socio-demographic groups? What is the depth of Putin's support, i.e. is electoral support in any way affected by Western sanctions, and Russian media propaganda? Are there any temporal changes in the magnitude of social desirability bias and perception of sanctions among Russians since the start of Ukrainian crisis? This complex research, involving five data surveys collected by two Russia's national polling firms between January 2014 and March 2015, shows the presence of inflationary effects of the social desirability bias and state propaganda on Putin's approval ratings, contrasted against moderately small effects of sanctions on Putin's approval ratings and the Kremlin's policies in Ukraine.
Book
This book proposes a new way of understanding events throughout the world that are usually interpreted as democratization, rising authoritarianism, or revolution. Where the rule of law is weak and corruption pervasive, what may appear to be democratic or authoritarian breakthroughs are often just regular, predictable phases in longer-term cyclic dynamics - patronal politics. This is shown through in-depth narratives of the post-1991 political history of all post-Soviet polities that are not in the European Union. This book also includes chapters on czarist and Soviet history and on global patterns.
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Despite its wide usage in explaining political dynamics of non-democracies, preference falsification remains an empirical myth for students of authoritarian politics due to the challenge of measurement. We offer the first quantitative study of this phenomenon in a non-democratic setting by exploiting a rare coincidence between a major political purge in Shanghai, China, and the administration of a nationwide survey in 2006. We construct two synthetic measures for expressed and actual political support and track their changes before and after the purge. We find that the purge caused a dramatic increase in expressed support among Shanghai respondents, yet the increase was paralleled by an equally evident decline in actual support. We interpret this divergence as evidence for preference falsification and conduct a number of robustness checks to rule out alternative explanations. We also show that falsification was most intense among groups that had access to alternative information but were vulnerable to political sanctions.
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What leads people to vote for incumbent presidents in hybrid regimes -political systems that allow at least some real opposition to compete in elections but that greatly advantage the authorities? Here, the case of Russia is analyzed through survey research conducted as part of the Russian Election Studies (RES) series. The RES has queried nationally representative samples of Russia's population both before and shortly after every post-Soviet presidential election there to date, those in 1996, 2000, 2004, and 2008. Since Vladimir Putin himself ran as head of the United Russia slate in the 2007 parliamentary election, voting in that election is also considered. The analysis reveals that Putin has consistently won votes based on personal appeal, opposition to socialism, and a guardedly pro-western foreign policy orientation, among other things. Economic considerations are also very important, though they operate in a way that is more complex than sometimes assumed. President Dmitrii Medvedev generally benefited from these same factors in his election to the presidency.
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This book provides a theory of the logic of survival of the Institutional Revolutionary Party (PRI), one of the most resilient autocratic regimes in the twentieth century. An autocratic regime hid behind the facade of elections that were held with clockwise precision. Although their outcome was totally predictable, elections were not hollow rituals. The PRI made millions of ordinary citizens vest their interests in the survival of the autocratic regime. Voters could not simply ‘throw the rascals out of office’ because their choices were constrained by a series of strategic dilemmas that compelled them to support the autocrats. The book also explores the factors that led to the demise of the PRI. The theory sheds light on the logic of ‘electoral autocracies’, among the most common type of autocracy, and is the only systematic treatment in the literature today dealing with this form of autocracy. © Beatriz Magaloni 2006 and Cambridge University Press, 2009. All rights reserved.
Book
Why do parties and governments cheat in elections they cannot lose? This book documents the widespread use of blatant and excessive manipulation of elections and explains what drives this practice. Alberto Simpser shows that, in many instances, elections are about more than winning. Electoral manipulation is not only a tool used to gain votes, but also a means of transmitting or distorting information. This manipulation conveys an image of strength, shaping the behavior of citizens, bureaucrats, politicians, parties, unions, and businesspeople to the benefit of the manipulators, increasing the scope for the manipulators to pursue their goals while in government and mitigating future challenges to their hold on power. Why Governments and Parties Manipulate Elections provides a general theory about what drives electoral manipulation and empirically documents global patterns of manipulation.
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We develop an informational theory of dictatorship. Dictators survive not because of their use of force or ideology but because they convince the public|rightly or wrongly|that they are competent. Citizens do not observe the dictator's type but infer it from signals inherent in their living standards, state propaganda, and messages sent by an informed elite via independent media. If citizens conclude the dictator is incompetent, they overthrow him in a revolution. The dictator can invest in making convincing state propaganda, censoring independent media, coopting the elite, or equipping police to repress attempted uprisings|but he must finance such spending with taxes that depress the public's living standards. We show that incompetent dictators can survive as long as economic shocks are not too large. Moreover, their reputations for competence may grow over time. Censorship and co-optation of the elite are substitutes, but both are complements of propaganda. Repression of protests is a substitute for all the other techniques. In some equilibria the ruler uses propaganda and coopts the elite; in others, propaganda is combined with censorship. The multiplicity of equilibria emerges due to coordination failure among members of the elite. We show that repression is used against ordinary citizens only as a last resort when the opportunities to survive through co-optation, censorship, and propaganda are exhausted. In the equilibrium with censorship, difficult economic times prompt higher relative spending on censorship and propaganda. The results illuminate tradeoffs faced by various recent dictatorships.
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The item count technique, used often to investigate illegal or socially undesirable behaviours, requires respondents to indicate merely the number of applicable items from among a list. However, the number of applicable items indicated via the item count question tends to be smaller than when it is calculated from the direct 'applies/does not apply' responses to each item. Because this inconsistency, which we refer to as the underreporting effect, often disturbs proper item count estimates, the causes of this effect are explored in this paper. Web survey results revealed that the order of the response alternatives is irrelevant to the underreporting effect, and that the underreporting effect is caused by the response format in which the item count question requests merely the number of applicable items and not the number of non-applicable items. It is also shown that the magnitude of the underreporting effect decreases when the respondents are asked to indicate the numbers of both applicable and non-applicable items, which we refer to as elaborate item count questioning.
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I think [my grandchildren] will be proud of two things. What I did for the Negro and seeing it through in Vietnam for all of Asia. The Negro cost me 15 points in the polls and Vietnam cost me 20. Lyndon B. Johnson With tenacious regularity over the last two and a half decades the Gallup Poll has posed to its cross-section samples of the American public the following query, “Do you approve or disapprove of the way (the incumbent) is handling his job as President?” The responses to this curious question form an index known as “Presidential popularity.” According to Richard Neustadt, the index is “widely taken to approximate reality” in Washington and reports about its behavior are “very widely read” there, including, the quotation above would suggest, the highest circles. Plotted over time, the index forms probably the longest continuous trend line in polling history. This study seeks to analyze the behavior of this line for the period from the beginning of the Truman administration in 1945 to the end of the Johnson administration in January 1969 during which time the popularity question was asked some 300 times. Four variables are used as predictors of a President's popularity. These include a measure of the length of time the incumbent has been in office as well as variables which attempt to estimate the influence on his rating of major international events, economic slump and war. To assess the independent impact of each of these variables as they interact in association with Presidential popularity, multiple regression analysis is used as the basic analytic technique.
Article
The validity of empirical research often relies upon the accuracy of self-reported behavior and beliefs. Yet eliciting truthful answers in surveys is challenging, especially when studying sensitive issues such as racial prejudice, corruption, and support for militant groups. List experiments have attracted much attention recently as a potential solution to this measurement problem. Many researchers, however, have used a simple difference-in-means estimator, which prevents the efficient examination of multivariate relationships between respondents' characteristics and their responses to sensitive items. Moreover, no systematic means exists to investigate the role of underlying assumptions. We fill these gaps by developing a set of new statistical methods for list experiments. We identify the commonly invoked assumptions, propose new multivariate regression estimators, and develop methods to detect and adjust for potential violations of key assumptions. For empirical illustration, we analyze list experiments concerning racial prejudice. Open-source software is made available to implement the proposed methodology.
Article
Surveys usually yield rates of voting in elections that are higher than official turnout figures, a phenomenon often attributed to intentional misrepresentation by respondents who did not vote and would be embarrassed to admit that. The experiments reported here tested the social desirability response bias hypothesis directly by implementing a technique that allowed respondents to report secretly whether they voted: the "item count technique." The item count technique significantly reduced turnout reports in a national telephone survey relative to direct self-reports, suggesting that social desirability response bias influenced direct self-reports in that survey. But in eight national surveys of American adults conducted via the Internet, the item count technique did not significantly reduce turnout reports. This mode difference is consistent with other evidence that the Internet survey mode may be less susceptible to social desirability response bias because of self-administration.
Article
How are civilian attitudes toward combatants affected by wartime victimization? Are these effects conditional on which combatant inflicted the harm? We investigate the determinants of wartime civilian attitudes towards combatants using a survey experiment across 204 villages in five Pashtun-dominated provinces of Afghanistan—the heart of the Taliban insurgency. We use endorsement experiments to indirectly elicit truthful answers to sensitive questions about support for different combatants. We demonstrate that civilian attitudes are asymmetric in nature. Harm inflicted by the International Security Assistance Force (ISAF) is met with reduced support for ISAF and increased support for the Taliban, but Taliban-inflicted harm does not translate into greater ISAF support. We combine a multistage sampling design with hierarchical modeling to estimate ISAF and Taliban support at the individual, village, and district levels, permitting a more fine-grained analysis of wartime attitudes than previously possible.
Article
While the popularity of using the item count technique (ICT) or list experiment to obtain estimates of attitudes and behaviors subject to social desirability bias has increased in recent years among political scientists, many of the empirical properties of the technique remain untested. In this paper, we explore whether estimates are biased due to the different list lengths provided to control and treatment groups rather than due to the substance of the treatment items. By using face-to-face survey data from national probability samples of households in Uruguay and Honduras, we assess how effective the ICT is in the context of face-to-face surveys—where social desirability bias should be strongest—and in developing contexts—where literacy rates raise questions about the capability of respondents to engage in cognitively taxing process required by ICT. We find little evidence that the ICT overestimates the incidence of behaviors and instead find that the ICT provides extremely conservative estimates of high incidence behaviors. Thus, the ICT may be more useful for detecting low prevalence attitudes and behaviors and may overstate social desirability bias when the technique is used for higher frequency socially desirable attitudes and behaviors. However, we do not find strong evidence of variance in deflationary effects across common demographic subgroups, suggesting that multivariate estimates using the ICT may not be biased.
Article
List and endorsement experiments are becoming increasingly popular among social scientists as indirect survey techniques for sensitive questions. When studying issues such as racial prejudice and support for militant groups, these survey methodologies may improve the validity of measurements by reducing nonresponse and social desirability biases. We develop a statistical test and multivariate regression models for comparing and combining the results from list and endorsement experiments. We demonstrate that when carefully designed and analyzed, the two survey experiments can produce substantively similar empirical findings. Such agreement is shown to be possible even when these experiments are applied to one of the most challenging research environments: contemporary Afghanistan. We find that both experiments uncover similar patterns of support for the International Security Assistance Force (ISAF) among Pashtun respondents. Our findings suggest that multiple measurement strategies can enhance the credibility of empirical conclusions. Open-source software is available for implementing the proposed methods.
Article
Bureaucratic compliance is often crucial for political survival, yet eliciting that compliance in weakly institutionalized environments requires that political principals convince agents that their hold on power is secure. We provide a formal model to show that electoral manipulation can help to solve this agency problem. By influencing beliefs about a ruler's hold on power, manipulation can encourage a bureaucrat to work on behalf of the ruler when he would not otherwise do so. This result holds under various common technologies of electoral manipulation. Manipulation is more likely when the bureaucrat is dependent on the ruler for his career and when the probability is high that even generally unsupportive citizens would reward bureaucratic effort. The relationship between the ruler's expected popularity and the likelihood of manipulation, in turn, depends on the technology of manipulation.
Article
In Communist regimes the party‐state used fear to make people say what the party wanted in public regardless of what they thought privately. To test for the incidence of fear distorting public opinion, the 2004/2005 round of the New Europe Barometer (NEB) survey in 13 post‐Communist countries, some free while others are not, asked whether respondents thought people are today afraid to say what they think. Overall, 51% indicated some fear, 45% did not and 4% replied don’t know. Five hypotheses are tested about why some people are afraid to voice opinions while others are not: the failure of all to account for differences implies a random distribution of fear. As a cross‐check on this finding, the paper then considers whether fearful people differ in their answers to political questions about partisanship and approval of the political system independent of their socio‐economic characteristics and attitudes. They do not. The conclusion considers the implications of publicly expressed opinions, whether freely expressed or not, for undemocratic as well as democratic political systems.
Article
This article analyzes the dynamics of turnout and the political impact of five cycles of protest, consisting of forty-two mass demonstrations that occurred on Mondays in Leipzig over the period 1989–91. These demonstrations are interpreted as an informational cascade that publicly revealed some of the previously hidden information about the malign nature of the East German communist regime. Once this information became publicly available, the viability of the regime was undermined. The Monday demonstrations subsequently died a slow death as their informational role declined.
Article
Like many major revolutions in history, the East European Revolution of 1989 caught its leaders, participants, victims, and observers by surprise. This paper offers an explanation whose crucial feature is a distinction between private and public preferences. By suppressing their antipathies to the political status quo, the East Europeans misled everyone, including themselves, as to the possibility of a successful uprising. In effect, they conferred on their privately despised governments an aura of invincibility. Under the circumstances, public opposition was poised to grow explosively if ever enough people lost their fear of exposing their private preferences. The currently popular theories of revolution do not make clear why uprisings easily explained in retrospect may not have been anticipated. The theory developed here fills this void. Among its predictions is that political revolutions will inevitably continue to catch the world by surprise.
Article
A political scientist investigates the extent to which, under Vladimir Putin, the Kremlin consolidated control over the Russian media. Conceptually, a contrast is drawn between the Soviet and post-Soviet systems of media control. Data-bases are used to illuminate imbalances of television coverage of presidential candidates and public officials as well as the evolution of popular distrust of the media. Comparisons are drawn with President Alberto Fujimori's defunct regime in Peru and speculation is offered as to the fragility of the Kremlin's control over the media.
Article
All authoritarian governments attempt to control the flow of news and information to the public--but with what effect? To answer this question, we adapt an existing model of opinion formation to conditions in authoritarian countries, validate that model on opinion data collected in Brazil during its authoritarian period, and, finally, use the model to derive expectations about patterns of regime support that exist in different kinds of authoritarian systems. The paper shows that support for regime policies depends heavily on citizens' level of political awareness. In general, highly aware persons are more heavily exposed to government-dominated communications media, but are also better able to resist the propaganda they encounter. As a result, people in the broad middle ranges of awareness--who pay enough attention to be exposed but are not sophisticated enough to resist--typically are most susceptible to government influence.
Article
Levels of regime strength and links to the West help to explain authoritarian breakdown, but the ruler’s popularity also matters.
Article
An abundance of survey research conducted over the past two decades has portrayed a “new South” in which the region's white residents now resemble the remainder of the country in their racial attitudes. No longer is the South the bastion of racial prejudice. Using a new and relatively unobtrusive measure of racial attitudes designed to overcome possible social desirability effects, our study finds racial prejudice to be still high in the South and markedly higher in the South than the non-South. Preliminary evidence also indicates that this prejudice is concentrated among white southern men. Comparison of these results with responses to traditional survey questions suggests that social desirability contaminates the latter. This finding helps to explain why the “new South” thesis has gained currency.
Article
In liberal democracies, the approval ratings of political leaders have been shown to track citizens’ perceptions of the state of the economy. By contrast, in illiberal democracies and competitive autocracies, leaders are often thought to boost their popularity by exploiting nationalism, exaggerating external threats, and manipulating the media. Using time-series data, I examine the determinants of presidential approval in Russia since 1991, a period in which leaders’ ratings swung between extremes. I find that Yeltsin's and Putin's ratings were, in fact, closely linked to public perceptions of economic performance, which, in turn, reflected objective economic indicators. Although media manipulation, wars, terrorist attacks, and other events also mattered, Putin's unprecedented popularity and the decline in Yeltsin's are well explained by the contrasting economic circumstances over which each presided.
Article
Social desirability is one of the most common sources of bias affecting the validity of experimental and survey research findings. From a self-presentational perspective, social desirability can be regarded as the resultant of two separate factors: self-deception and other-deception. Two main modes of coping with social desirability bias are distinguished. The first mode comprises two methods aimed at the detection and measurement of social desirability bias: the use of social desirability scales, and the rating of item desirability. A second category comprises seven methods to prevent or reduce social desirability bias, including the use of forced-choice items, the randomized response technique, the bogus pipeline, self-administration of the questionnaire, the selection of interviewers, and the use of proxy subjects. Not one method was found to excel completely and under all conditions in coping with both other-deceptive and self-deceptive social desirability bias. A combination of prevention and detection methods offers the best choice available.
Article
Due to the inherent sensitivity of many survey questions, a number of researchers have adopted an indirect questioning technique known as the list experiment (or the item-count technique) in order to reduce dishonest or evasive responses. However, standard practice with the list experiment requires a large sample size, utilizes only a difference-in-means estimator, and does not provide a measure of the sensitive item for each respondent. This paper addresses all of these issues. First, the paper presents design principles for the standard list experiment (and the double list experiment) for the reduction of bias and variance as well as providing sample-size formulas for the planning of studies. Second, this paper proves that a respondent-level probabilistic measure for the sensitive item can be derived. This provides a basis for diagnostics, improved estimation, and regression analysis. The techniques in this paper are illustrated with a list experiment from the 2008–2009 American National Election Studies (ANES) Panel Study and an adaptation of this experiment.
Article
Standard estimation procedures assume that empirical observations are accurate reflections of the true values of the dependent variable, but this assumption is dubious when modeling self-reported data on sensitive topics. List experiments (a.k.a. item count techniques) can nullify incentives for respondents to misrepresent themselves to interviewers, but current data analysis techniques are limited to difference-in-means tests. I present a revised procedure and statistical estimator called LISTIT that enable multivariate modeling of list experiment data. Monte Carlo simulations and a field test in Lebanon explore the behavior of this estimator.
Article
This article is based on a much longer paper published in German in Ernst Forsthoff and Reinhard Horstel (Eds.) Standorte im Zeitstrom: Festschrift fur Arnold Gehlen. Zum 70. Geburtstag am 29.1.1974. Frankfurt am Main: Athenaum, 1974. The longer version documents in detail (33 tables) the results of surveys conducted to test the propositions contained in the five hypotheses presented in this article. The propositions are confirmed or refuted, or they are tentatively supported by the data, or they await further testing. Research is being continued. A complete English translation of the paper is available to interested scholars upon request.
Book
Although much of the world still lives today, as always, under dictatorship, the behaviour of these regimes and of their leaders often appears irrational and mysterious. In The Political Economy of Dictatorship, Ronald Wintrobe uses rational choice theory to model dictatorships: their strategies for accumulating power, the constraints on their behavior, and why they are often more popular than is commonly accepted. The book explores both the politics and the economics of dictatorships, and the interaction between them. The questions addressed include: What determines the repressiveness of a regime? Can political authoritarianism be ‘good’ for the economy? After the fall, who should be held responsible for crimes against human rights? The book contains many applications, including chapters on Nazi Germany, Soviet Communism, South Africa under apartheid, the ancient Roman Empire and Pinochet’s Chile. It also provides a guide to the policies which should be followed by the democracies towards dictatorships.
Article
The item count technique is a survey methodology that is designed to elicit respondents’ truthful answers to sensitive questions such as racial prejudice and drug use. The method is also known as the list experiment or the unmatched count technique and is an alternative to the commonly used randomized response method. In this article, I propose new nonlinear least squares and maximum likelihood estimators for efficient multivariate regression analysis with the item count technique. The two-step estimation procedure and the Expectation Maximization algorithm are developed to facilitate the computation. Enabling multivariate regression analysis is essential because researchers are typically interested in knowing how the probability of answering the sensitive question affirmatively varies as a function of respondents’ characteristics. As an empirical illustration, the proposed methodology is applied to the 1991 National Race and Politics survey where the investigators used the item count technique to measure the degree of racial hatred in the United States. Small-scale simulation studies suggest that the maximum likelihood estimator can be substantially more efficient than alternative estimators. Statistical efficiency is an important concern for the item count technique because indirect questioning means loss of information. The open-source software is made available to implement the proposed methodology.
Article
From World War II to the war in Iraq, periods of international conflict seem like unique moments in U.S. political history—but when it comes to public opinion, they are not. To make this groundbreaking revelation, In Time of War explodes conventional wisdom about American reactions to World War II, as well as the more recent conflicts in Korea, Vietnam, the Gulf, Afghanistan, and Iraq. Adam Berinsky argues that public response to these crises has been shaped less by their defining characteristics—such as what they cost in lives and resources—than by the same political interests and group affiliations that influence our ideas about domestic issues. With the help of World War II–era survey data that had gone virtually untouched for the past sixty years, Berinsky begins by disproving the myth of “the good war” that Americans all fell in line to support after the Japanese bombed Pearl Harbor. The attack, he reveals, did not significantly alter public opinion but merely punctuated interventionist sentiment that had already risen in response to the ways that political leaders at home had framed the fighting abroad. Weaving his findings into the first general theory of the factors that shape American wartime opinion, Berinsky also sheds new light on our reactions to other crises. He shows, for example, that our attitudes toward restricted civil liberties during Vietnam and after 9/11 stemmed from the same kinds of judgments we make during times of peace. With Iraq and Afghanistan now competing for attention with urgent issues within the United States, In Time of War offers a timely reminder of the full extent to which foreign and domestic politics profoundly influence—and ultimately illuminate—each other.
Article
States like Russia and Ukraine may not have gone back to totalitarianism or the traditional authoritarian formula of stuffing the ballot box, cowing the population and imprisoning the opposition - or not obviously. But a whole industry of 'political technology' has developed instead, with shadowy private firms and government 'fixers' on lucrative contracts dedicated to the black arts of organising electoral success. This book uncovers the sophisticated techniques of the 'virtual' political system used to legitimise post-Soviet regimes: entire fake parties, phantom political rivals and 'scarecrow' opponents. And it exposes the paramount role of the mass media in projecting these creations and in falsifying the entire political process. Wilson argues that it is not primarily economic problems that have made it so difficult to develop meaningful democracy in the former Soviet world. Although the West also has its 'spin doctors', dirty tricks and aggressive ad campaigns, it is the unique post-Bolshevik culture of 'political technology' that is the main obstacle to better governance in the region, to real popular participation in public affairs and to the modernization of the political economy in the longer term. 'This is a splendid study that captures the essence of post-Soviet politics, getting to the core of Putin's Russia and showing the author's unmatched command of Ukrainian political life. It is a book to be read by anyone with an interest in the machinations of contemporary politics' James Gow, King's College London
Article
We present a formal model of government control of the media to illuminate variation in media freedom across countries and over time, with particular application to less democratic states. The extent of media freedom depends critically on two variables: the mobilizing character of the government and the size of the advertising market. Media bias is greater and state ownership of the media more likely when the need for mobilization is large; however, the distinction between state and private media is smaller. Large advertising markets reduce media bias in both state and private media, but increase the incentive for the government to nationalize private media. We illustrate these arguments with a case study of media freedom in postcommunist Russia, where media bias has responded to the mobilizing needs of the Kremlin and government control over the media has grown in tandem with the size of the advertising market.
finds that Putin increasingly lost the confidence of two groups during this period: those dissatisfied with the state of the Russian economy and those with a negative attitude toward the West
  • Treisman
Treisman (2014) finds that Putin increasingly lost the confidence of two groups during this period: those dissatisfied with the state of the Russian economy and those with a negative attitude toward the West.
Public Opinion in Russia: Russians' Attitudes on Economic and Domestic Issues Associated Press-NORC Center for Public Affairs Research, accessed at http://www.apnorc.org/projects/Pages/ public-opinion-in-russia-russians-attitudes-on-the-economic-and-domestic-issues
  • See Colton
See Colton and Hale (2013) and " Public Opinion in Russia: Russians' Attitudes on Economic and Domestic Issues, " Associated Press-NORC Center for Public Affairs Research, accessed at http://www.apnorc.org/projects/Pages/ public-opinion-in-russia-russians-attitudes-on-the-economic-and-domestic-issues.aspx.
Putin's Poll Numbers Are Skyrocketing, but They Aren't Going to Last Center on Global Interestsputins-poll-numbers-are-skyrocketing-but-they-arent-going-to-last
  • Mark Adomanis
Adomanis, Mark. 2014. " Putin's Poll Numbers Are Skyrocketing, but They Aren't Going to Last. " Center on Global Interests, April 10. http://www.globalinterests.org/2014/04/10/putins-poll-numbers-are-skyrocketing-but-they-arent-going-to-last/.
List: Statistical Methods for the Item Count Technique and List Experiment
  • Graeme Blair
  • Kosuke Imai
Blair, Graeme, and Kosuke Imai. 2011. List: Statistical Methods for the Item Count Technique and List Experiment. Comprehensive R Archive Network (CRAN). http://CRAN.R-project.org/package=list.
Assessing Presidential Character: The Media, Elite Opinion and Popular Support
  • Richard Brody
Brody, Richard. 1991. Assessing Presidential Character: The Media, Elite Opinion and Popular Support. Palo Alto, CA: Stanford University Press.