Md Zakaria Siddiqui- PhD Economics
- Associate Professor at Jamia Millia Islamia
Md Zakaria Siddiqui
- PhD Economics
- Associate Professor at Jamia Millia Islamia
About
49
Publications
16,019
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252
Citations
Introduction
An applied social scientist using mostly quantitative methods. Currently, working on various themes and implications of Australian welfare system and India's contemporary public policy e.g. Fiscal Federalism, Nutrition, Energy, Digital Divide, Women's labour market and etc.
Current institution
Additional affiliations
January 2021 - present
Position
- Associate Professor
Description
- Researching issues of Public Economics and Finance
June 2017 - July 2022
Institute for Economics and Peace
Position
- Research Associate
Description
- Developing Quantitative measures for economic benefit of Peace. Quantifying Positive Peace
July 2022 - July 2022
Australian Govenment
Position
- Economist
Description
- Analysing various aspects of Welfare Payments and its social, economic, and fiscal implications
Education
September 2006 - June 2008
Center for Operations Research and Econometrics
Field of study
- Economics
January 2005 - June 2009
July 2002 - June 2004
Publications
Publications (49)
This paper is on shared prosperity and its measurement. Economic growth enhances total prosperity, increasing the economic pie in society, but the pie distribution determines how the population shares the pie. Based on a social welfare framework, we have developed an integrated methodology to evaluate growth and distribution simultaneously. Linking...
This paper views shared prosperity broadly. Economic Growth enhances total prosperity, increasing the economic pie in society, but the pie distribution determines how the population shares the pie. Economists are deeply divided, and some believe that society must focus on policies to enlarge the pie and then have policies to divide the pie equitabl...
A puzzling aspect of India's nutrition story is that deficiencies in calorie intake and anthropometric health outcomes across states are not significantly correlated. One potential explanation is inaccurate accounting of the calorie needs of people living in different states of India. There are significant variations in the disease environments, he...
The Sustainable Development Goal India Index released by NITI Aayog continues to attract public attention. This article highlights a few problems in SDG India Index—the method of aggregation, capping normalised score to be 100 when states perform better than the targeted level, data gaps, and lack of sensitivity analysis of the
composite index—whi...
The spread of vector-borne diseases poses considerable public health challenges in India, such that both government and private households engage in initiatives to tackle the problem. This study utilises two nationally representative datasets (2018 and 2012) to determine if action undertaken by state/local government(s) in India in tackling the pro...
Does the Global Hunger Index convey the actual picture of hunger in India? While there are methodological issues in the measurement of calorific undernourishment, India’s performance remains poor in tackling child undernutrition, but not so in child mortality. The varying performance in the three domains calls for an objective assessment and target...
Often national-level policies are studied without giving due attention to the regional political context. However, it is widely recognized that significant differences do arise in the way policies get implemented in different regions. This chapter underscores the importance of the regional political context in explaining the much-delayed reforms th...
Applying a national level calorie norm and adjusting it for the state-
level prices without considering the regional differences in calorie intake requirements is bound to give fallacious numbers. Attention must be given to the calorie consumption patterns and requirements that vary across different regions of the country. To arrive at an honest es...
The dramatic increase in overweight/obesity prevalence in India and the concomitant increase in nutrition-related non-communicable diseases present critical health policy challenges. This paper analyses two successive nationally representative household datasets – the 2015–16 and 2005–06 National Family Health Survey rounds – to discern the extent...
During the past decade, considerable research efforts have sought to explain India’s “calorie consumption paradox”, namely, the coexistence of a decline in average per capita calorie intake in rural India alongside increased material living standards. Evidence from the most recent (68th) round of the National Sample Survey (NSS), released in 2014,...
Bihar’s electricity sector was in a low level equilibrium for many years, with limited rural electrification. Under Lalu Yadav in the 1990s, although Bihar’s power sector deteriorated, newly empowered lower castes demanded public service improvements, including in electricity. When Nitish Kumar became chief minister in 2005, and even more so in his...
Estimates of Multidimensional Poverty Index (MPI) is from latest National Family Health Survey conducted in 2015-16 (NFHS4). State level estimates depict Indian states’ relative
position vis-à-vis other countries of the global south has improved significantly. Analysis of Multidimensional Poverty across the social-religious groups depicts persisten...
We utilise large national household datasets for 1993–1994, 2004–2005 and 2011–2012 to analyse factors influencing changing patterns in per capita calorie consumption in India. Our study findings demonstrate the significance of the disease environment in which people live, with those living in healthy areas having lower calorie consumption than tho...
Based on data from the Prison Statistics India, this article demonstrates an over-representation of minorities such as Muslims, Adivasis, and Dalits in Indian jails. It offers an anthropological and sociological analysis of this over-representation. The authors connect it to structural-political factors, a connection the scant Indian literature rar...
To find help for extracting the raw data provided by NSSO in text format go to
https://zakku78.wordpress.com/2009/02/19/nsso-unit-level-data/
this is an interactive blog. Please feel free to post your queries. I will be happy to reply.
The most recent data gathered by the National Sample Survey Office on work participation for women in India reveal a sharp decline, primarily due to the NSSO’s conventional measures not accounting for economic activities undertaken by women for the benefit of households. Alternative definitional approaches to the production boundary, such as the In...
Food and nutritional security re-emerged as a major challenge facing developing countries since the global food, fuel and financial crises in 2008. A wide variety of approaches are used to gauge the status of food insecurity at global, national, household and individual levels. However different indicators often provide a diverseset of estimates an...
Food security is a basic requirement of livelihood. A major source of calories is carbohydrates which are mainly derived from foodgrains. This article addresses the foodgrain deficiency in India, across its states, regions and at the household level. The study further analyses the causal effect of subsidies from India’s public distribution system,...
Objective:
To investigate the extent to which individual-level as well as macro-level contextual factors influence the likelihood of underweight across adult sub-populations in India.
Design:
Population-based cross-sectional survey included in India's National Health Family Survey conducted in 2005-06. We disaggregated into eight sub-populations...
Studies examining the influence of community-level interactions and contextual/supply-side factors in determining contraceptive choices have yielded mixed results in the context of rural India. Using small-scale survey data of 1348 women from rural West Bengal and by employing multilevel multinomial logit models, this study tested the influence of...
This article analyses a nationally representative household dataset-the National Family Health Survey (NFHS-3) conducted in 2005 to 2006-to examine factors influencing the prevalence of overweight/obesity in India. The dataset was disaggregated into four sub-population groups-urban and rural females and males-and multi-level logit regression models...
This paper outlines a methodology for implementing cost of service regulation in retail market for electricity in India when wholesale market is liberalised and operates through an hourly spot market. As in a developing country context political considerations make tariff levels more important than supply security, satisfying the earmarked level of...
This study examines the determinants of utilisation of skilled birth attendants (SBAs) amongst 2886 rural women in the state of West Bengal, India, using data from a survey of 2012-2013 conducted by the Birbhum Health and Demographic Surveillance System.
Multilevel logit regression models were estimated and qualitative investigations conducted to u...
Presenting an exploratory approach by which quantitative data from the National Sample Survey can be analysed to throw light on the most marginal households whose primary occupation is recorded as mining and quarrying, this paper finds that a large portion of mining and quarrying is carried out informally by marginal households from disadvantaged s...
This paper analyses a nationally representative dataset (2005-06) in India to investigate factors associated with the likelihood of being underweight among the adult population. Multi-level logit regression analysis was used to estimate the impact of both contextual factors and individual-level covariates on the patterning of the risk of being unde...
This chapter discusses the factors that influence the development aspirations of skilled Indians living in Europe and of those who have returned to India. While India is seen as a country that benefits from the positive effects of skilled migration, we have yet to develop a comprehensive understanding of the individual motivations that cause skille...
The objective of this chapter is to examine individual and host country factors that might influence the return plans of highly skilled Indian migrants in the medium term (5-year period). We used data we collected in a primary survey of Indian students and skilled workers currently based in four European continental countries; Germany, France, the...
The migration development nexus assumes that skilled migrants possess the potential to bring benefits to their developing countries of origin. In India in particular, this brain-gain is of great interest to study because of the significant presence of Indian skilled professionals in western countries. This paper examines the role of the factors on...
This study provides a more detailed analysis of the factors impacting on overweight-obesity in India. We do this by disaggregating the National Family Health Survey (2005-06) into sub-population cohorts and go beyond other studies by using a multi-level modelling approach to ascertain state-level effects. Findings reveal that increased years of edu...
Consultable en ligne, format pdf : https://www.ifri.org/en/publications/ouvrages-de-lifri/energy-indias-future-insights
Using India’s National Sample Survey data on consumption expenditure by households this paper examines how access to affordability of electricity services have fared under power sector reform programme that was pursued in the of State Orissa (India). To draw a comparative picture of Orissa with a state which did not follow the path of World Bank in...
Questions
Question (1)
I am facing issue around using a log form of a variable in regression as independent variable , that is, using log(z) and [log(z)]^2 as independent variables in regression specification along with other independent variables. people using it to explore non-linear kind of relationship. In my view, the [log(z)]^2 should ideally be redundant because of following
y=Bo + B1*log(z) + B2*[log(z)]^2+ ∑B_k*X_i + e ------ (1)
∂y/∂z= B1*(1/z)+2* B2*(1/z)
∂y/∂z= (B1+2*B2)(1/z)
Since we would end up at same specification of marginal impact of z even if specified above regression without the term [log(z)]^2 i.e.
y=Bo + B1*log(z) + ∑BkXi+ e --------- (2)
∂y/∂z= B1*(1/z)
So thinking about log(z) as if it is z is essentially creating lot of problem in the process. The problem, however, is that the expression (1) gives slightly higher R-squared and there is lot of adjustment in co-efficient value of constant term to accommodate the square term. My understanding is that the quadratic term of log(z) confuses the analysis more than it solves it. I would love to see responses my view of using quadratic term. Or Please let me know if I am doing something very silly and can not see through that.
