Ethnic conflict and economic disparity: Serbians and Albanians in Kosovo

Using the Living Standards Measurement Study (LSMS) household survey from post-conflict Kosovo, we investigate the comparative economic well-being of Serbs and Albanians. An Oaxaca decomposition shows Serb households are both better endowed with income generating characteristics, such as education, and receive higher returns to these characteristics than Albanian households. Despite these advantages, Serb households have lower living standards, on average, than Albanian households. Most of the difference in living standards between Serb and Albanian households is due to unobserved non-economic factors. This result has serious implications for the political economy of policymaking in post-conflict Kosovo. Journal of Comparative Economics 34 (4) (2006) 754–773.     

Educational performance gaps in Eastern Europe

To assess the educational performance gaps in Eastern Europe, this article takes a look at the differences in PISA test scores between Finland and seven Eastern European countries, as well as between Eastern European countries. The methodology applied is a semiparametric version of the threefold Blinder–Oaxaca decomposition. We find that main part of the average test score gap cannot be explained by the individual characteristics. Furthermore, our analysis at different quantiles provides evidence that the average test score gaps are due to the fact that poorly performing students in Finland score much higher than poorly performing students in Eastern Europe.     

Decomposition of inter-regional poverty gap in India: a spatial approach

This paper examines the impact of various socio-economic factors on consumption in rural West Bengal, an eastern state of India, using a regression-based technique reformulated in a spatial framework. The difference of incidences of poverty (head count ratios) in two parts (North and South) of rural West Bengal is then decomposed using the familiar Oaxaca decomposition methodology into an aggregate characteristics effect, which is interpreted as a resource effect and an aggregate coefficients effect, which is interpreted as an efficiency effect. An important observation from the present analysis is that the poorer North Bengal has a scarcity in terms of availability of characteristics (resources) compared to that in South Bengal and the resource scarcity in North Bengal is the dominant factor causing the poverty gap between the two parts of West Bengal. Thus, attention needs to be paid to North Bengal with respect to enhancement of important policy variables like education level, Government aid, and employment opportunities.     

Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992–2009

We develop Bayesian inference for an unconditional quantile regression model. Our approach provides better estimates in the upper tail of the wage distribution as well as valid small sample confidence intervals for the Oaxaca–Blinder decomposition. We analyze the recent changes in the US wage structure using data from the CPS Outgoing Rotation Group from 1992 to 2009. We find that the largest part of the recent changes is explained mainly by differences in returns to education while the decline in the unionization rate has a small impact, and that earnings inequality is rising more at the top end of the wage distribution.     

Does a gender disparity exist in academic rank? Evidence from an Australian university

Employing a unique administrative data set on academics from the University of Wollongong (UOW), we investigate if women are under-represented in academic rank, taking into account information on personal characteristics, job characteristics, education and productivity. The results suggest that males have a significant advantage in rank attainment. The possession of a PhD, the number of years of experience and the number of journal articles, books, book chapters, competitive grants and ERA A* ranked articles appear to be important for academic rank attainment. A Blinder–Oaxaca decomposition test indicates that both supply side and demand side factors play a role; however, there is greater support for the endowments argument. Interviews were conducted in an attempt to explain the results. Interviews showed that men were more career-driven compared to women.     

Understanding the Gender Gap in Financial Literacy: Evidence from Australia

Using micro‐data from the Household, Income and Labour Dynamics in Australia Survey, and the Oaxaca–Blinder decomposition technique, this paper examines the determinants of the gender gap in financial literacy. The analysis suggests that human capital variables, such as age and education, are not important in explaining the gender gap in financial literacy. Labour market variables, such as sector, occupation, industry, union membership and labour market status, are important and explain around 16 per cent of the gap. This finding is dependent on the assumption that these variables are exogenous. There is a large unexplained gap, suggesting that the main determinants are neither human capital nor labour market factors.     

Examining energy poverty in Chinese households: An Engel curve approach

This article is first to model energy poverty in Chinese households using an Engel curve approach. To analyse the determinants of energy poverty and energy expenditures across households, we avail the 2015 wave of the Chinese General Social Survey (CGSS). Possible presence of endogeneity is accounted for in the model specification as well as by using the Lewbel heteroscedasticity identified endogenous variables estimator. In addition, we are the first to scrutinise disparity and discrimination by conducting the Blinder–Oaxaca decomposition of energy poverty model by gender, ethnicity, region (Eastern vs. non-Eastern provinces), and urbanisation status (rural vs. urban residents). Our analysis shows: (i) education is the key determinant of various energy poverty measures and energy expenditure shares across Chinese households; (ii) other determinants including fossil fuel mix and electricity price discrimination are found to worsen energy poverty, on average. However, fossil fuel mix is found to increase expenditure share of total energy, electricity, and coal and decrease that of biomass; and (iii) the Blinder–Oaxaca decomposition analyses show no statistically significant gender or ethnic discrimination in energy poverty rates. However, there is substantial divide between Eastern and non-Eastern provinces and between rural and urban households—with these groups also discriminated against when accessing clean cooking fuels and technologies. The Blinder–Oaxaca results also generally support the logistic and the Lewbel energy poverty model findings.     

Why is education performance so different across Latvian schools?

This paper aims to identify the school characteristics consistently associated with better performance of pupils in state exams in Latvia and understand the reasons behind substantial exam score gap between urban and rural schools. We find that exam scores are positively related to school size and teacher salaries, but negatively related to teacher age. Oaxaca–Ransom decomposition shows that the whole urban–rural exam score gap can be attributed to a few observable characteristics of schools, teachers and pupils.     

Socio-economic conditions of physical activity of manual workers from Wrocław

The article is aimed at evaluating the relationships existing between physical activity of manual workers from Wroc?aw and their socio-economic status. The survey completed in 2013 comprised 844 persons (300 women and 544 men), aged from 21 to 60 years. A method of diagnostic poll was used to assess physical activity, and the International Physical Activity Questionnaire in a short version was used as the survey instrument, with the form expanded by characteristics of socio-economic status. Most of surveyed Wroc?aw residents were making physical effort sufficient to achieve health benefits. Moreover, the probability of meeting physical activity standards defined by the World Health Organization was highest for people between 21 and 30 years of age, with secondary education, whose monthly gross income per person in a household did not exceed PLN 1000. The survey has shown the existence of physical activity relationships with such characteristics of socio-economic status of surveyed persons as age, education and income.     

The Oaxaca decomposition generalized to a continuous group variable

Almost universally, the Oaxaca (1973) decomposition is used to compare the outcomes between two discrete groups, e.g., black and white. In many applications, however, groups are not readily divided into discrete bins. The purpose of this paper is to extend the Oaxaca decomposition to examine differences amongst groups that are most naturally modeled as at points in a continuum. The gap can vary by values of the group variable.     

Public-private sector wage differentials in Germany: Evidence from quantile regression

This paper measures and decomposes the differences in earnings distributions between public sector and private sector employees in Germany for the years 1984–2001. Oaxaca decomposition results suggest that conditional wages are higher in the public sector for women but lower for men. Using the quantile regression decomposition technique proposed by Machado and Mata (2004), we find that the conditional distribution of wages is more compressed in the public sector. At the low end of wages, differences in characteristics explain less than the raw wage gap when it is the opposite at high wages. Separate analyses by work experience and educational groups reveal that the most experienced employees and those with basic schooling do best in the public sector. All these results are stable over the 80s and 90s.I thank Michael Lechner and the Centre for European Economic Research (ZEW), Mannheim, for letting me work with the full sample of the German Socio-Economic Panel (GSOEP). I am grateful to an anonymous referee and particularly to the editor, Bernd Fitzenberger, for providing me detail comments and suggestions that have significantly improved the paper. I have also benefited from discussions with Michael Lechner and Ruth Miquel.First version received: April 2002/Final version received: June 2004     

Good students,avid readers: The cost of academic success

The effects of reading habits on academic performances have been carefully investigated, but little is known about the effects of academic achievements on students’ leisure reading. This paper investigates this issue by estimating the effects of academic achievements, proxied by the number of exams passed, on leisure reading, measured by the number of leisure books read in a year. Using an online survey submitted to the students at the University of Bologna, Italy, we adopt a two-step control-function technique to control for endogeneity. The empirical evidence suggests the existence of a negative relationship between students’ academic achievements and the time devoted to leisure reading. This result holds for students of different fields of study and is stronger for male students. The Blinder–Oaxaca decomposition supports the existence of a gender-specific idiosyncratic effect.     

LIVING STANDARDS INEQUALITY BETWEEN MIGRANTS AND LOCAL RESIDENTS IN URBAN CHINA—A QUANTILE DECOMPOSITION

This study investigates the inequality in per‐capita consumption expenditure between urban and rural‐to‐urban migrant households in China using Rural‐Urban Migration in China (RUMiC) data. The methodology used is that of Oaxaca‐Blinder and unconditional quantile decompositions and we deal with selection related to education level using matching. It is found that the characteristics effect does not contribute toward explaining any of the gaps in consumption. Results from a detailed decomposition suggest that differences in educational level account for 8%–19% of the overall inequality after taking selectivity of education into consideration. Differences in household size and region of residence are also important in narrowing expenditure inequality between the two groups. (JEL R23, C15)     

ANALYSIS OF POVERTY AND EFFICIENCY: AN EARNINGS FRONTIER APPROACH

The paper introduces the concept of an earnings frontier in explaining monthly consumption expenditure (a proxy for income) in terms of human capital and endowments of a household. Individuals who translate their potential earning into actual earnings enjoy a fully efficient position. In contrast, individuals who earn less than their potential earnings suffer from some kind of earnings inefficiency. The paper estimates an earnings frontier using the Corrected Ordinary Least Square (COLS) method and classifies households in terms of efficiency scores. Splitting the sample into an efficient and an inefficient part based on the estimated frontier and a bench mark efficiency score, the status of poverty in the two parts (groups) is studied. The poverty gap between the groups is then decomposed into a characteristics effect and a coefficients effect using the familiar Oaxaca decomposition methodology. The paper also tries to establish a link between the notion of efficiency and the coefficients effect in the Oaxaca decomposition methodology. The results obtained are interpreted in light of the poor but efficient hypothesis.     

Blinder–Oaxaca decomposition for Tobit models

In this article, a decomposition method for Tobit models is derived, which allows the differences in observed outcome variables between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part attributable to differences in the estimated coefficients. Monte Carlo simulations demonstrate that in the case of censored dependent variables this decomposition method produces more reliable results than the conventional Blinder–Oaxaca decomposition for linear regression models. Finally, our method is applied to a decomposition of the gender wage gap using German data.     

Skilled Immigrant Women in the US and the Double Earnings Penalty

Abstract

Although a large literature exists on the United States labor market experiences of low-skilled immigrant men, relatively few studies have examined the labor market position of highly skilled immigrant women. The current study explores the issue of labor market discrimination and examines the extent to which highly skilled immigrant women experience an earnings disadvantage as a result of both gender status and nativity status. Relying on data from the 2000 US Decennial Census 5-Percent Integrated Public Use Microdata Sample and using an augmented Oaxaca decomposition technique, this study finds that highly skilled immigrant women do experience a double earnings penalty. In addition, the results suggest that nativity status explains a larger portion of the double earnings penalty than gender status. These findings are important in light of the higher emigration rates for skilled women than for skilled men in regions such as Africa, Latin America, and Oceania.     

Inequality in Vietnamese Urban–Rural Living Standards, 1993–2006

We investigate urban–rural inequality in Vietnam using data from the Vietnam Living Standard Surveys between 1993 and 2006. We find that mean per capita expenditure of urban households is consistently twice as much as that of rural households and that the urban–rural gap monotonically increases from the poorer to the richer groups of the expenditure distribution. To isolate factors contributing to the urban–rural gap, we apply the Oaxaca–Blinder type decomposition to a newly developed unconditional quantile regression method. Factors contributing significantly to the high urban–rural gap include inter‐group differences in education, household age structure, labor market activity, geographic location and their related returns, with education playing the most important role. Over the period, consistent with the country's massive rural–urban migration, we find that domestic remittance plays a significant role in shortening the urban–rural expenditure gap in the later years, 2002 and 2006.     

Race and Income Distribution: Evidence from the USA,Brazil and South Africa

The aim of this paper is to provide some empirical evidence about black–white differentials in the distribution of income and wellbeing in three different countries: Brazil, the USA and South Africa. In all cases, people of African descent are in a variety of ways socially disadvantaged compared with the relatively more affluent whites. We investigate the extent of these gaps in comparative perspective, and analyze to what degree they are associated with differences in the observed characteristics of races, such as where they live, the types of household they have, or their performance in the labor market. We undertake this analysis with the Oaxaca–Blinder decomposition at the means and with a propensity score approach at the entire distribution. Our results show how the factors underlying the racial divide vary across countries and income quantiles.     

The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines

Quantile regressions are used to analyse the size, components, and nature of the gender-earnings differentials as well as the returns to education by gender in the Philippines, over the entire conditional distribution of earnings, using data from the 1999 APIS survey. This approach allows more focused conclusions about the nature of gender-earnings differentials. Incorporating the quantile regression approach to the Oaxaca–Blinder decomposition allows the localization of gender discrimination to particular quantiles of the earnings distribution and permits more targeted policy intervention.     

How to curb poverty-related deforestation?

Drawing upon recent data from the Southeast Asian Mekong region, I study poverty-related drivers of deforestation (logging) activities by rural households. I do not find an environmental Kuznets curve-type relation between income and deforestation. Albeit I find a negative relation between income and the deforestation probability, this relation turns insignificant once I take into account specific socio-economic household characteristics: better education, higher relative affluence, younger age, self-employment, a higher value of nonproductive assets owned by the household as well as affiliation to an ethnic majority significantly reduce the deforestation probability. Received credits, remittances or (public) transfers do not significantly affect the deforestation probability. This implies for development policy that pure income-increasing financial support does not suffice for curbing poverty-related deforestation. Fostering education, social status, doing business and private ownership of assets are more promising options.