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Residual based tests for co integration in models with regime shifts

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... Tests of co-integration were developed for the first order co-integrated series I(1) by Shin (1994), based on the stationary test in Kwiatkowski, Phillips, Schmidt and Shin (1992), as well as by Saikkonen and Luukkonen (1993), Xiao and Phillips (2002), and others. Specifically, Gregory and Hansen (1996) developed residual-based tests for cointegration in models with regime shifts. These tests seem to be suitable to our empirical study in view of the presence of a structural break in our data series due to the crisis and empirically proved by Zivot and Andrews's unit root test. ...
... Where the unrevealed parameter ) 1 , 0 (   indicates the timing of the breakpoint. In this context, Gregory and Hansen (1996) ...
... The Gregory and Hansen (1996) test consists of null hypotheses of no co-integration against the alternatives in the three last models presented above. The methodology proposed to treat regime shift is inspired from Banerjee et al. (1992) and Zivot and Andrews (1992). ...
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This paper examines the contagion effect caused by the European debt crisis on the Saudi Arabian stock market and the effect's spread to the real economy. Firstly, the presented analysis tests the hypothesis about the contagion effect and interdependence between the markets by means of Gregory and Hansen's co-integration in presence of structural breaks, as well as the test for common trends proposed by Stock and Watson (1988). Next, to identify the transmission channel of the European financial crisis to the Saudi Arabia real economy, we estimate a model with a dummy variable. Finally, we estimate a stylized Phillips curve to investigate the impact of the crisis on Saudi inflation rate. The empirical results indicate that Saudi Arabian stock market has been notably affected by the European crisis. The dummy variable model demonstrates that the primary transmission channel of the financial crisis to the Saudi Arabian output is international trading. In conclusion, the estimated stylized Phillips curve remains unchanged after the crisis. This finding indicates that the crisis has not affected the structure of the relationship between inflation and output.
... The results from Ref. (Hatemi-J, 2008) co-integration test with break in level and slope is reported in Table 5. Since (Hatemi-J, 2008) suggests three residual based test statistics (namely the modified ADF (ADF*) test and the two modified Phillips (Z a *and Z t *) tests), our analysis will depend on Z t * test statistics (Gregory & Hansen, 1996). 3 As can be TB 1 and TB 2 are the first and second optimal time breaks, respectively. ...
... Several studies in the literature shows that conventional tests techniques for co-integration have low power and provide spurious results in the presence of a regime shift in data that is not taken into account (Gregory & Hansen, 1996;Uddin et al., 2013). Therefore, this study uses the Autoregressive Distributed Lag (ARDL) bounds testing approach developed by Refs. ...
... Like unit root tests, standard co-integration tests mostly used in the literature, namely (Engle & Granger, 1987;Granger, 1981;Granger, 1983) and (Johansen, 1991) do not take into account for a possible existence of structural regimes in long run relationship. However, when one or more structural breaks exist in the data, these standard co-integration tests may not be acceptable and a co-integration test with structural regimes shifts should be performed (Gregory & Hansen, 1996;Westerlund & Edgerton, 2007). ...
Article
This paper examined the effect of external factors on economic growth in Tunisia. The economic analysis was carried out using recent quantitative technique of annual time series data from 1976 to 2017. Based on co-integration test with unknown structural breaks and ARDL bound testing we investigated importance of each factor in stimulating economic growth. Our results show that in the long run FDI does not affect economic growth. Remittances and imports negatively affect economic growth. Exports promote economic growth such that a 1% increase stimulates economic activity by 0.702%. In the short term, our estimates emphasize a structural break in 1988 linked to the structural adjustment program. Likewise, FDI does not have a significant effect on economic growth while remittances and imports slow economic growth significantly at the conventional level. On the other hand, exports form a relevant engine of economic growth. So, our conclusions imply that political decision-makers in Tunisia must guarantee certain level of training and infrastructure to ensure the gain of transfers of new technologies and experiences related to the FDI. Thus, Tunisia must encourage peoples living aboard to create new investment opportunities instead of just supporting their families for consumption. In addition, the state must develop financial system capable of transferring funds for investment in order to better benefit from remittances. Finally, the government must restrict import of consumer goods and allow import of equipment and machinery goods that promote production and economic growth.
... Also, the world economy has undergone various changes and shocks; hence, it is recommended that the time data should also be tested for structural break the period of the study. If significant structural break is identified, the authors can employ Gregory andHansen (1996a, 1996b) method of co-integration with structural break. Previous studies have mainly focused on the analysis of oil prices without consideration of the structural changes that happened during the period 1994-2015. ...
... Also, the world economy has undergone various changes and shocks; hence, it is recommended that the time data should also be tested for structural break the period of the study. If significant structural break is identified, the authors can employ Gregory andHansen (1996a, 1996b) method of co-integration with structural break. Previous studies have mainly focused on the analysis of oil prices without consideration of the structural changes that happened during the period 1994-2015. ...
... a) Importance of the study This research focuses on discussing the possible factors that determine crude oil prices taking into account the structural changes that influence the study period, using recent empirical and theoretical literature. Zivot and Andrews (1992) and Perron (1997) unit root test with structural break test for stationarity of the time series is used and for the test of co-integration in the presence of structural changes, the Gregory andHansen (1996a, 1996b) method of co-integration. Establishing the presence of co-integration, we apply the evaluation of Granger causality by using vector error-correction model (VECM). ...
Article
As the world economy has undergone various changes and shocks, the oil market went through significant fluctuations during the period 1994–2015. This study focuses on discussing the possible factors that determine crude oil prices, which include world economic growth, market power of Organization of the Petroleum Exporting Countries (OPEC), non-OPEC supply and the value of dollar, taking into account the structural changes that influence the study period, which is quarterly data for the period of 1994.Q1–2015.Q3. For time series stationarity tests, Zivot and Andrews (1992) and Perron (1997) unit root test with structural break is used. To test the existence of a long relationship in the presence of structural changes, the Gregory and Hansen (1996a, 1996b) method of co-integration is used. For long-run coefficient, we proceed to estimate fully modified least squares. The result shows a significant influence of non-OPEC supply, the dollar appreciation and world gross domestic product growth, but OPEC did not have a significant effect on the price of oil, which is indicated by the structural break for OPEC capacity utilisation at 2002.Q1, that indicates the starting point of the loss of OPEC power. Establishing the presence of co-integration, we apply the evaluation of Granger causality for co-integrated data, using vector error-correction model.
... As the first order log difference of exchange rates contained all specific time series properties, exhibit ergodicity, exchange rates can also be modeled as a stationary stochastic process, and thus, made the comparison possible. Johansen (1991) and Gregory-Hansen (1996) test of co-integration and advanced multivariate dynamic conditional correlation (DCC) Generalized Autoregressive Conditional Heteroskedastic (GARCH) model (Engle, 2002) has also been used in this paper. Univariate GARCH models were initially introduced by Bollerslev (1988); later on multivariate advance versions of this have been employed for assessing co-movements and co-integration among stock and foreign exchange markets. ...
... If the null hypothesis is rejected, the T S associated with ADF* becomes T n S . Since, in large systems, Johansen test results may give incorrect inferences about the presence of co-integration Lee, 1998, 2000) or are rendered too sensitive to the lag length included in the VAR (Hall, 1991), we applied an additional test called GH co-integration methodology (Gregory and Hansen, 1996) to validate the results of Johansen's test. Likewise, for each possible date of structural break, T S , the basic "level shift" model was augmented to develop a combined regime shift model for each T S and is expressed as follows: ...
... Critical values of ADF taken from MacKinnon (1996) are −4.10 at the 0.05 (5 percent) level, for zero lag length. Critical values of ADF* obtained from Gregory and Hansen (1996) are −5.56, −5.28, −4.92, −4.16 at the 0.05 (5 percent) level, for the level shift model and −6.41, −6.00, −5.50, −4.95 at the 0.05 (5 percent) level, for the regime shift model, for 4, 3, 2, 1 regressors, respectively. ...
Article
Purpose – The purpose of this paper is to econometrically investigate the level of financial co-integration of the least developed countries (LDCs) of Asia and Pacific region. In addition, the paper also tested the co-integration of LDCs with the world’s second largest economy “China.” For this, the paper employed the foreign exchange data sets of respective LDCs. It also aimed to assess the dynamic conditional correlation (DCC) between the foreign exchange rates of LDCs and China, and further, examined the past and current level of their co-relational dependence. Design/methodology/approach – The authors created data sets namely LDCs of Asia and Pacific, LDCs of SAARC, LDCs of ASEAN, LDCs of Pacific, LDCs of SAARC and ASEAN, LDCs of ASEAN and Pacific, and LDCs of SAARC and Pacific. In addition, the authors tested the co-integration of these seven groups with China, and thus, making a total of 14 data sets. The analysis was carried out using the Johansen and Gregory-Hansen multivariate co-integration econometric techniques. To assess the DCC, multivariate DCC GARCH model was employed. Findings – It was found that at the intra-regional level, exchange rates of LDCs of SAARC, ASEAN and Pacific were co-integrated and showed the existence of 1-3 co-integrating equations. At inter-regional level SAARC-ASEAN, ASEAN-Pacific and SAARC-Pacific were also co-integrated and showed 1-3 co-integrated equations. However, on the inclusion of China in the study, the degree of co-integration of exchange rate of China with LDCs of SAARC and ASEAN increased, while with Pacific, the result was mixed. Conditional correlation estimated of multivariate DCC GARCH model suggested that except for Afghanistan, there was an upward shift in the correlation dynamics of exchange rates of LDCs with China, post global financial crisis. Practical implications – Asia and Pacific region constituted of 53 countries, of which 13 were LDCs. Enhanced financial integration among LDCs of Asia-Pacific region and also between LDCs and major economies of the region like China will strengthen economic and financial integration efforts in the region. Originality/value – The present paper attempted a comparative assessment of the co-movements of the foreign exchange markets of LDCs, the countries which have remained largely neglected in academic discourses on financial integration.
... Phillips-Perron tests for unit root, the Gregory and Hanson (1996a;1996b) cointegration test to capture endogenous structural breaks in the cointegrating vectors of Nigerian long-run money demand function, cumulative sum of recursive residuals (CUSUM) and cumulative sum of recursive residuals squares (CUSUMSQ) tests for structural stability proposed by Brown et al. (1975). In estimating the canonical specification models, extended specifications are also presented. ...
... where β 0 is the constant term U t is the error term, β 1 > 0 , β 2 < 0, β 3 <0, β 4 < 0, β 5 < 0 or > 0, The Gregory and Hanson (1996a;1996b) ...
... The Gregory and Hanson (1996a;1996b) cointegration test was employed on the demand for money function in Nigeria. The results of the GH test are reported in table 2 below. ...
... However, a limitation of conventional Engle-Granger (1987) cointegration test is that it does not take into account the effect of a structural break in the cointegration relationship. Gregory and Hansen (1996) developed residual-based cointegration tests allow for an endogenous structural break in the cointegration relationship. The regime shift (C/S) model of Gregory and Hansen (1996) is considered since our aim is to capture the change both in the intercept and slope which takes the form: ...
... Gregory and Hansen (1996) developed residual-based cointegration tests allow for an endogenous structural break in the cointegration relationship. The regime shift (C/S) model of Gregory and Hansen (1996) is considered since our aim is to capture the change both in the intercept and slope which takes the form: ...
... If the residuals are stationary, the two series are said to be cointegrated. Gregory and Hansen (1996) propose three test statistics to examine the null hypothesis of no cointegration. These statistics are the ADF test statistics and extensions of the Z test statistics (Z t and Z α ). ...
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This paper examines the validity of Fisher hypothesis in Turkey for the time period 1987Q1-2010Q3. For this purpose, we employ cointegration test with a structural break as well as time varying parameters approach (TVP) that takes into account the effects of regime or policy changes on the relation between interest rate and inflation rate. The empirical results show that weak form of the Fisher hypothesis holds in Turkish economy.
... The existence of structural breaks has been tested by implementing the procedure proposed by Gregory and Hansen (1996), who consider co-integration processes allowing intercepts and/or slope coefficients to break at an unknown point over the period under scrutiny. In formulas we have ...
... The tests work as follows: when considering the long run relationship between exports and exchange rates, the procedure allows us to identify possible breaks; when this occurs, it tests the null hypothesis of absence of change in the long run relationship. Under the alternative hypothesis, there is movement towards a new long run equilibrium (Gregory and Hansen, 1996). The test is based on an extension of the ADF, Z t and Z a test-statistics for co-integration and allows us to detect the stability of co-integration over time in the presence of structural change, if any. 12 Table 6 shows the results for the test constructed to search for a change in constant (equation 3). ...
... . For details, see Gregory and Hansen (1996). 2004. ...
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The empirical literature on trade imbalances does not make currency tensions easy to understand, because tensions across traders originate from the assumption that export-price elasticity is high. This paper provides new evidence by analysing the export-behaviour of China, France, Germany, Italy, Japan, UK, and the USA from 1990 to 2012. Estimates of export-price elasticities have been made using panel data techniques for non-stationary data. Long run relationships are stable to any structural break and indicate that exports are heavily dependent on world income, with long run income elasticity significantly higher than unity in many cases (China, Japan, Germany, UK and USA). Conversely, exports are price inelastic for most of the countries in the sample, in both the long and short runs. The exception is France, whose exports in the long run would increase by 2 percent if the country experienced a 1 percent depreciation of its real exchange rate.
... A potential disadvantage of pursuing this method exists if there is a structural break in the cointegrating relationship. Research by Gregory and Hansen (1996) and Inoue (1999) has shown that one or more breaks can yield misleading results on cointegration. ...
... This research will adopt the methodology developed by Inoue (1999) for determining a potential structural break endogenously within a multivariate cointegrated system. This is in preference to the Gregory and Hansen (1996) approach, which is a two-step procedure along a similar line to the original Engle and Granger (1987) two-step methodology that requires a prior specification of the left-and right-hand side variables. The Inoue (1999) procedure allows for a test of cointegrating rank within the presence of a mean-and/or trend-break. ...
... They allowed for two structural breaks: the Gulf War in 1990 and the Asian crisis in 1997-1999. However, the specific time points for the breaks were guessed by the authors without using formal tests; this ad hoc choice can lead to bias and errors in results and conclusions (see Gregory and Hansen, 1996). ...
... Hence, Philips-Perron unit root test was also conducted to overcome the limitations of ADF test. Engle-Granger (1987) and Gregory-Hansen's (1996) bivariate co-integration tests and Johansen (1988) multivariate co-integration test were used to investigate how spatially distant livestock markets are linked together via prices. Price dynamics were portrayed by the Vector Error Correction (VEC) model. ...
... The test was also criticized for testing multiple co-integration relationship and large bias in small sample. Gregory-Hansen (1996) co-integration test was also used to allow any structural changes in the price series due to major policy change or other kinds of shocks. Co-integrating relationships can be changed by the structural break in the price series. ...
... Hence, Philips-Perron unit root test was also conducted to overcome the limitations of ADF test. Engle-Granger (1987) and Gregory-Hansen's (1996) bivariate co-integration tests and Johansen (1988) multivariate co-integration test were used to investigate how spatially distant livestock markets are linked together via prices. Price dynamics were portrayed by the Vector Error Correction (VEC) model. ...
... The test was also criticized for testing multiple co-integration relationship and large bias in small sample. Gregory-Hansen (1996) co-integration test was also used to allow any structural changes in the price series due to major policy change or other kinds of shocks. Co-integrating relationships can be changed by the structural break in the price series. ...
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This study examines livestock market integration and price dynamics in the United States using weekly price series of five major livestock market from October 2005 to March 2015. Engle-Granger and Gregory-Hansen bivariate co-integration tests and Johansen multivariate co-integration test were employed to measure integration among spatially separated markets. Price dynamics among livestock markets were investigated by the Vector Error Correction model. The result indicates that all markets are co-integrated with sharing a common stochastic trend suggesting the ‘Law of One Price’. The long-run and short-run dynamics of price suggest that the transmission of price changes from one market to another market during the same week is very fast. Livestock markets in the United States are well integrated reflecting satisfactory level of price discovery and market efficiency.
... Regression analysis showed that there was adverse impact of bank credit on economic growth in Pakistan. Olowofeso, Adeleke and Udoji (2015) ascertained the impacts of private sector credit on economic growth in Nigeria using the Gregory and Hansen (1996) co-integration test. The method was applied to quarterly data spanning 2000:Q1 to 2014:Q4, while the fully modified ordinary least squares procedure was employed to estimate the model coefficients. ...
... All the empirical literature reviewed showed that bank lending has positive impact on economic development and growth except for a contrary result of Ojeaga, Odejimi, Okhiku and Ojeaga (2014). These literatures adopted various econometric tools such granger causality test, Johansen co-integration, vector error correction model and Gregory and Hansen (1996) co-integration test among others to make their conclusion. ...
... We also perform the Gregory and Hansen (1996) test that allows for an endogenous structural break in the estimated relationship. The regime shift (C/S) model of Gregory andHansen (1996)captures the change in both the intercept and slope. For instance, in terms of Equation 6, we get: ...
... The null hypothesis of Gregory and Hansen tests that the residuals contain a unit root and hence there is no estimation with a break, whereas the alternative hypothesis is that the residuals are stationary and hence there is a relationship between the variables. Gregory andHansen (1996)propose three test statistics to examine the null hypothesis. These statistics are the ADF test statistic and extensions of the Z-test statistics (Z t and Z α ).Table 2reports the results of the estimation of the system of Equations 3–7. ...
... This paper investigates the relationship between domestic saving (S) and investment (I) to assess degree of capital mobility for G7 countries during the period 1960-2007. To this end, Engle-Granger (1987) and Gregory-Hansen (1996) residual based cointegration tests was firstly applied for each of the G7 countries, but we did not find any evidence of a long-run relationship between S and I. Extending the analysis to time varying parameters (TVP) approach to see changes in the capital mobility over time, the findings suggest that there is no significant increase in capital mobility in the sense of Feldstein-Horioka (1980). ...
... If the residuals from the co-integration regression are stationary, this would indicate that I and S are co-integrated. However, as pointed out by Gregory and Hansen (1996) (GH), the power of the conventional co-integration tests decreases in the presence of a structural break. Unlike the standard co-integration tests, GH (1996) approach allows for an endogenous structural break in the long relationship. ...
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This paper investigates the relationship between domestic saving (S) and investment (I) to assess degree of capital mobility for G7 countries during the period 1960- 2007. To this end, Engle-Granger (1987) and Gregory-Hansen (1996) residual based co-integration tests was firstly applied for each of the G7 countries, but we did not find any evidence of a long-run relationship between S and I. Extending the analysis to time varying parameters (TVP) approach to see changes in the capital mobility over time, the findings suggest that there is no significant increase in capital mobility in the sense of Feldstein-Horioka (1980).
... The analysis starts by performing the panel unit root test proposed by Levin et al. (2002) and the panel cointegration test of Westerlund (2007). In addition, we use the Gregory and Hansen (1996) test for checking the structural stability of each time series. After performing these tests, we proceed by using Year ...
... The existence of structural breaks was detected using the Gregory and Hansen (1996) test, who consider cointegration processes allowing intercepts and/or slope coefficients to break at an unknown time point. We have the following formulas: ...
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This paper provides new evidence on export price elasticities by analyzing the cases of China, France, Germany, Italy, Japan, UK and the USA over the period 1990 –2012. Estimates have been made using panel data techniques for non-stationary data. After demonstrating that long-run relationships are stable to any structural break, it is found that exports are significantly determined by foreign demand, with long-run income elasticity significantly higherthan unity for China, Japan, Germany, the UK and the USA. Conversely, exports are price inelastic for most of the countries in the sample, in both the long run and the short run. The exception is France, whose export price elasticity is lower (higher) than unity in the short run (long run).
... Co-integration has been detected by referring also to the Johansen test (1991). Moreover, the Gregory and Hansen (1996) test is used for checking the structural stability. Structural breaks can affect model parameters, thereby inducing different policy implications. ...
... The existence of structural breaks was detected with the Gregory and Hansen (1996) test (hereafter GH), which considers co-integration processes allowing intercepts and/or slope coefficients to break at an unknown time-point. Formulas for exports (X t ) are as follows: ...
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This paper focuses on trade elasticities by analysing the case of China, France, Germany, Italy, Japan, UK, and the USA over the period 1990-2012. While the empirical setting mainly refers to panel data techniques for non-stationary data, the VECM model complements the analysis at single-country level. After having shown that long-run relationships are stable to any structural break, it is found that exports and imports are price inelastic for most of the countries in the sample. Furthermore, exports and imports are determined by domestic and foreign income, with asymmetric income elasticities. This helps to explain why global trade imbalances are persistent.
... In the second stage, co-integration test was carried out in order to analyse whether the variables were co-integrated or moved jointly in the long run. This was done using parameter instability test following the procedures of Furuoka and Munir (2011);Geda et al.,( 2006); Kungi-Vetenskapsakademien ( 2003); Gregory and Hansen (1996); Philips and Hansen (1990). ...
... The t-statistic (-2.651) showed there is existence of a weak relationship and hence cannot be used for further analysis. The series at first difference level gave residuals which were integrated of order one i.e. 1(1) as a result of the t-statistic of the PP (-16.248) which was significant at 1% probability level as shown in Table 3. (2010) variables (Gujarati and Sangeetha 2007;Nto and Mbanasor, 2011;Johansen and Juselius, (1990) Gregory and Hansen, 1996;Philips and Hansen, 1990). Co-integrating procedure which adopted parameter instability test was used. ...
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The study examined the influence of monetary policy variables on banks’ credit supply to small and medium scale enterprises (SMEs) in Nigeria. Time series data which were collected on quarterly basis were elicited from the Central Bank of Nigeria (CBN) Statistical bulletin and financial statements for five commercial banks. The data covered a period of 1995-2010 and were analyzed using Fully Modified Least Squares (FMOLS). Considering the time series properties of the variables, unit root test was done with Philips Perron test to establish stationarity prior to actual analysis. The result of the FMOLS indicated that policies on interest rate and liquidity ratio were negatively and positively significant at 1 percent probability level respectively. Based on the results, it was recommended that government through CBN should strengthen existing policies on the adjustment of interest rates and liquidity ratio so as to increase and stabilize credit supply to SMEs.
... However, the structural breaks in the time-series (somehow ad hoc) choices to be made about the prior model specification like choice of the deterministic parts, lag length selection, and innovation process distribution may impact the model estimation of the study (Ghouse et al., 2018). Hence, further robustness check was carried out for structural breaks, Gregory-Hansen (G-H) co-integration test (Gregory & Hansen, 1996a, 1996b), and Bayer and Hanck (2013 test of non-cointegration test (available on request from the authors). The analysis shows that our VEC model specification is robust to structural breaks. ...
Article
This paper analyses the dynamic roles of remittance on the process of economic growth of Nepal using time-series annual data for 37 years from 1981-2017. The basic tools of data analysis are vector error correction model, long-run structural modeling, Granger causality test, generalized impulse response functions, persistence profile, and variance decomposition analysis. The paper shows that the remittance inflow and economic growth have bidirectional relationship in the long run, but there is no relationship in the short run. Remittance affects the dynamics of other variables like investment, financial development, and investment on human capital which indirectly affect the performance of the economy through these variables. Findings indicate that remittance could promote financial development in the short run. It also shows the possibility of negative shocks in remittance flow could have a permanent negative effect on educational attainment. It concludes that an environment for investment should be created for enhancing the role of remittance on economic growth. Policies promoting flow of remittance through formal channels and financial literacy should be effective tools for channelizing remittance for economic growth. The government should prioritize the educational sector to prevent dropout of the students from schools when the households are hit negatively due to remittance shocks.
... The assumption of stability in the long-run relationships is not necessarily warranted either as "linkages may be time-varying and episodic". One proposal to account for the potential time-variance in co-integration studies has been suggested by Gregory & Hanson (1996), whose method detects structural breaks in the data, revealing support of long-run relationships not captured by static tests. According to Maddala & Kim (1998), Johansen's procedure is also highly sensitive to the assumption that errors are independent and normally distributed. ...
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In this paper we highlight an important yet often neglected issue that arises within the context of the broader set of concerns set out in Keynes’s seminal critique of Tinbergen’s early work in econometrics and that is the problem of “trend” in the dataset. We use the example of conforming data to achieve stationarity to solve a problem of unit roots to highlight that Keynes concerns with the “logical issues” regarding the “conditions which the economic material must satisfy” still gains little attention in theory and practice. There is a lot more discussion of the technical aspects of method than there is reflection on conditions that must be satisfied when methods are applied. Concomitantly, there is a tendency to respond to problems of method by applying fixes rather than addressing the underlying problem. We illustrate various facets of the argument using central bank policy targeting and using examples of differencing, co-integration and Bayesian applications.
... However, these methods assume that the long-run co-integration parameters do not change over time; in other words, it does not take into account structural breaks. Gregory and Hansen (1996) developed a cointegration test that takes into account the structural break to overcome this deficiency of traditional co-integration tests. Recently, Hatemi-J and Hatemi-J (2008) has developed a methodology to provide a co-integration test that estimates two breaks. ...
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The phenomenon of migration is an essential component in designing sustainable development policies, and it is valuable to investigate the multidimensional effects of migration. While the current literature focuses more on the economic, social, and political impacts of migration, its impact on the environment is relatively less explored. This paper, which aims to overcome this shortcoming in the literature, examines the relationship between immigration, human capital, economic growth, financial development, energy, and environmental pollution in the USA with the STIRPAT model. We follow unit root and structural breaks co-integration tests, then parameter estimates and causality analysis. According to the results, while migration, financial development, and energy consumption have an increasing effect on environmental pollution, economic growth has a decreasing impact on pollution. There is no statistically significant relationship between human capital and the environment. On the other hand, immigration contributes to human capital accumulation in the long run.
... So, the PP statistic is the modification of the ADF 't' statistic that takes into account the less restrictive nature of the error process. The asymptotic distribution of the PP 't' statistic is the same as the ADF 't' statistic and thus, the Mackinnon (1991 and1996) critical values are still applicable. ...
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In this article, we tried to estimate Intra-Industry Trade among the BRICS countries. IIT calculated by employing Grubel and Lloyd IIT Index for static analysis and Thom and McDowell (1999) MIIT index for dynamic analysis. Additionally, the decomposition of IIT carried out to distinguish between Horizontal and Vertical IIT. The unit of analysis selected at one- digit and two-digit SITC Industry level for GL IIT index, Further, to conduct MIIT analysis, industry is defined at two-digit-SITC level data by aggregating four-digit SITC sub-industry level data of IIT of BRICS countries. Further, study analysed the Pre and Post-BRICS trade pattern of IIT. Therefore, this study emphasises that do emerging economies IIT among themselves? On the basis of estimated results of this study revealed that IIT occurs at higher level of aggregation. This signifies that developing countries are trading in the same Industry for love for variety and cost effectiveness. Hence, the empirical result contradicts conventional Krugman (1979, 1985) hypothesis of IIT trade takes place in developed nations (industrialist nations). This implies that BRICS countries should focus on opportunities of trade complementary of intermediates products. This will enhance cost effectiveness of product development or production. Further, this will promote innovation in the BRICS region. To achieve this, countries needs to conduct constructive trade dialogue among the BRICS countries.
... ARDL approach for Co-integration is preferable to other conventional Cointegration techniques such as that of Engle and Granger (1987) and Gregory and Hansen (1996). One of the reasons for preferring the ARDL is that it is applicable irrespective of whether the underlying regressors are purely I(0), I(1), or mutually co-integrated. ...
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This study analyzes the long and short run relationship between the Karachi stock market index and a set of macroeconomic variables using the data from 2003 to date of inflation, exchange rate and interest rates; the Auto Regressive Distributed Lag technique is used to find the long-run Co-integration relationship of the model and Ordinary Least Square and Vector Error Correction techniques are applied for the analysis of the long and short-run relationship between the Macroeconomic variables and Karachi Stock Market, the Co-integration and granger casualty test is used to verify the results. Detailed analysis show that long run Co-integration relationship does exist between stock prices and the macroeconomic variables in the Karachi stock market (evidence from the significance of Wald test. While by applying the Error Correction Model the stock market has short run relationship with interest rates and exchange rates. These results confirm that the investor can predict the future behavior of the stock market by analyzing the trends and behavior of these macroeconomic variables. And in future Pakistan's economy will be going through struggling times that will eventually affect the stock market, to retain the investor's confidence. In this major part of the financial sector, government policies regarding the interest rates and controlling the inflation would be of immense importance.
... The economic and financial data usually display structural breaks which poses problems for the validity of conventional Johansen test since the power of the co-integration test is dramatically reduced if a break exists in the co-integration relationship (Gregory & Hansen, 1996). This issue is especially important for the empirical work covering the last two decades because of the massive structural change initiated by the Global Financial Crisis (GFC) of 2007. ...
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The aim of this paper is to analyze the impact of the Global Financial Crisis (GFC) on the co-integration relationship between the REIT and stock market indices using a sample of 10 developed countries. The main tool employed for this purpose is the dynamic co-integration approach. The empirical results strongly suggest that the stock and REIT markets were deeply affected by two successive crises. The first crisis was related to the U.S. subprime problems while the second shock emanated from the European insolvency problems. The shocks led to serious structural breaks in the financial data during the 2007-2012 period. As a result of this and the highly variable nature of the co-integration structure during this period, the conventional and static Johansen tests cannot detect the strong co-integration between the REIT and stock markets which were the result of common negative response of both markets to the successive shocks. Dynamic co-integration approach seems to be a more valid tool to capture the dynamics of the co-integration structure after the GFC. The dynamic approach implies that the destruction of diversification benefits between the REIT and stock markets was essentially a shock related outcome which also implies that the diversification potential between these two markets may still be valid in the absence of shocks.
... The present study proposed the technique for model estimation is autoregressive distributed lag (ARDL) for Co-integration Shin, 1995, 1998;Pesaran et al., 1996;Pesaran et al., 2001). Recent empirical studies have indicated that the ARDL approach is more appropriate to other conventional co-integration approaches such as Engle and Granger (1987), and Gregory and Hansen (1996). The basic reason to prefer ARDL is that it is applicable irrespective of whether the underlying regressors are purely I(0), purely I(1) or mutually co-integrated. ...
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... To carry it out, this paper will firstly use the Engle–Granger and Dickey–Fuller (EG–DF) procedure. Secondly, taking into account the possible presence of any structural break in the series, later this paper will also implement the Gregory–Hansen procedure (Gregory and Hansen, 1996). In implementing the EG–DF procedure, this paper will regress the first difference of residuals from Equation (2) as follows, ...
... Engle-Granger residuals-based tests for the null of no co-integration with critical values at 5% level equal to -26.94 and -3.767. ‡ Gregory-Hansen (1996) residuals-based tests for the null of no co-integration with critical values at 5% level equal to -46.98 and -4.92. ...
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Artan nüfus ve sanayileşme ile beraber artan çevresel kirlilik, sera gazları, su kirliliği, geri dönüştürülemeyen atıklar giderek endişe uyandırmaktadır. 20. yüzyıl itibari ile hükümetler, politik karar alıcılar, bilim ve iş insanları çevre ve sürdürülebilirlik kavramlarına odaklanmaya başlamıştır. Çevresel endişeler, lojistik sektörüne de yansımaktadır. Yük ve yolcu taşımacılığında kullanılan otomobil, otobüs, kamyon vb. araçlar fosil yakıtlarla çalışmaktadır. Bu yakıtların yanmasıyla ortaya çıkan sera gazları, hava ve çevre kirliliğini yüksek ölçüde etkilemektedir. Bu sorunlar için hem uluslararası hem ulusal, hem de şirket düzeyinde çeşitli önlemler alınmaktadır. Bu çalışmada karayolu taşımacılığı sektöründeki yeşil uygulamalardan bahsedilerek, dünya ve Türkiye özelinde şirket bazlı yeşil uygulama incelemeleri yapılmıştır.
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The study examines the Fisher’s hypothesis using India’s macroeconomic data with main objective of ascertaining the empirical relationship between nominal interest rate and expected inflation. The study collected monthly time series data on interest rate (lending rate) and CPI growth rate (inflation) from Reserve Bank of India’s database spanning from 1990M01 to 2015M03. To achieve the objective, the study first examined the univariate stochastic properties of the series using test that assumed the presence of structural: Zivot and Andrews (J Bus Econ Stat 10(3):251–270, 1992) and Perron (J Econ 80:355–385, 1997) on one hand and those that assumed no break: Elliot et al. (Econometrica 64:813–836, 1996) and Kwiatkowski et al. (J Econom 54:159–178, 1992) on the other hand. The result for the univariate stochastic properties revealed that inflation is level stationary whereas lending rate is differenced stationary. This finding is consistent with the two tests considered as mentioned above. To examined the Fisher’s effect, given the result of the univariate stochastic properties, the study checked the multivariate counterpart using test that assumed break; Gregory and Hensen (J Econom 70:99–126, 1996) and the one that assumed no break; Pesaran et al. (J Appl Econom 16:289–326, 2001). The result reveals the absence of long run equilibrium between nominal interest rate and inflation for the full and sub-samples which is against Fisher’s proposition. This finding can be attributed to the following reasons: firstly, the conduct of monetary policy by RBI is passive; that is, the policy rate response less than proportionate to change in inflation. Secondly, the presence of distortion in the interest rate pass-through channel makes the sign, speed and magnitude of monetary policy uncertain and finally, the dominant of informal financial sector in India that makes short term policy rate ineffective monetary policy instrument. Therefore the study concludes that the conduct of monetary policy is responsible for the rejection of Fisher’s hypothesis in India.
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