The gender gap in early-career wage growth

In the UK the gender pay gap on entry to the labour market is approximately zero but ten years after labour market entry, there is a gender wage gap of almost 25 log points. This article explores the reason for this gender gap in early-career wage growth, considering three main hypotheses – human capital, job-shopping and 'psychological' theories. Human capital factors can explain about 11 log points, job-shopping about 1.5 log points and the psychological theories up to 4.5 log points depending on the specification. But a substantial unexplained gap remains: women who have continuous full-time employment, have had no children and express no desire to have them earn about 8 log points less than equivalent men after 10 years in the labour market.     

Roma employment in Hungary after the post‐communist transition1

We analyse the magnitude and the causes of the low formal employment rate of the Roma in Hungary between 1993 and 2007. The employment rate of the Roma dropped dramatically around 1990. The ethnic employment gap has been around 40 percentage points for both men and women and has remained remarkably stable. Differences in education are the most important factor behind the gap, the number of children is important for female employment and geographic differences play little role once education is controlled for. Conditional on employment, the gap in log earnings is 0.3, and half of it is explained by educational differences.     

When does transition increase the gender wage gap?

In the context of underlying stability in female participation rates, the gender wagegap, measured by the log of monthly wages, more than doubled in Belarus from 1996 to 2006. In this respect, the country has experienced a variant of the transition which occurred in the former Soviet Union where relative female wages fell by more than female participation. We have used the Machado and Mata (2005) analysis of the gender gap distribution. This reveals that the effect of coefficients on observed characteristics in widening the gap was increasing over time, especially in the lower and middle deciles of the wage distribution. At the same time, the effect of the characteristics themselves in reducing the gap was shrinking. The decomposition of changes in the gap over time, based on Juhn et al. (1991) , confirms that the contraction of women’s relative wages has been caused both by a deterioration in the observed characteristics of female workers and by the associated remuneration. Changes in the residual wage distribution tend to slightly reduce the gap rather than, as is the case elsewhere, to increase it. The analysis carried out in line with Neuman and Oaxaca (2004) suggests that the increased gap was not caused by sample selection. Instead, two observed factors are found to be mainly responsible for the results: hours of work have increased for men more than for women and women have experienced segregation in low‐wage industries.     

Gender wage differentials by education in Italy

In this article we evaluate wage differentials in Italy combining gender and education perspectives. The main goal of this article is to verify whether the extent of the gender pay gap varies between highly- and low-educated workers, and whether or not the role played by gender differences in characteristics and in market rewards is similar in the two groups. We apply quantile regression analysis and an adaptation of the procedure suggested by Machado and Mata (2005) to evaluate the predicted wage gap at different points of the female wage distribution scale. The analysis is carried out on the Italian sample of the last available year of the European Community Household Panel (ECHP). We show that the extent and the trend of the gap predicted across the female distribution is sharply different between groups with diverse educational levels. In the case of low-educated workers, although the predicted gap is largely explained by differences in rewards, lower levels of education or experience are responsible for the gap, especially on the right-hand side of the distribution. On the contrary, highly-educated females have better characteristics than highly-educated men that partially compensate the rather high difference in returns, in particular at the extremes of the distribution.     

Impacts of climate change on food utilization in Nepal

Understanding how long-term climate patterns affect food security outcomes is crucial for crafting food policy in developing countries. In the case of Nepal, existing studies have focused overwhelmingly on food production and supply, but relatively little attention has been paid to understanding how extreme climate trends affect food utilization. This study fills that gap in the literature by examining the effects of temperature and rainfall trends from 1976 to 2005 on individual daily caloric intake and food diversity in Nepal. We use the copula method to jointly estimate the two potentially correlated food utilization outcomes. We find that climate risk negatively affects both outcomes. One percent increase (0.01 points) in climate risk index (index ranges from 0 to 1) leads to a decrease in weighted caloric intake by 8.1 calories (equivalent to 1.1% of average weighted caloric intake of 726 calories) and food diversity by 0.114 points (a reduction of 0.43% reduction of the mean score). We also find that factors such as ecological belts and social capital are strongly correlated with food security. Based on our findings, we recommend policies that attract private and public investments towards improving farmers' access to financial institutions, transportation networks, and risk-mitigation products and programs.     

Wage Assimilation of Foreigners: Which Factors Close the Gap? Evidence From Germany

This study analyzes the development of the wages of male foreign workers from all important sending countries across time using longitudinal employment register data. A cohort analysis of the individuals entering the German labor market in the years 1999 to 2001 indicates that the raw wage gap of migrants compared to native Germans decreases by 14 log percentage points in the first eight years. The results of a decomposition method based on fixed effects regression models give evidence that this wage adjustment is mostly due to time‐varying observable characteristics. Selective return migration, and the trend effects play no role for the aggregate. We find that wage assimilation happens mainly through three channels: first, through the accumulation of firm‐specific human capital, which explains approximately 40 percent; second, search gains are approximately the same order of magnitude; and third, the accumulation of general human capital explains one‐fifth of the assimilation. We further demonstrate that the importance of these channels differs substantially by the origin groups.     

Domestic and global output gaps as inflation drivers: What does the Phillips curve tell?

We study how domestic and global output gaps affect CPI inflation. We use a New-Keynesian Phillips curve framework which controls for non-linear exchange rate movements for a panel of 26 advanced and 22 emerging economies covering the 1994Q1−2017Q4 period. We find that both global and domestic output gaps are significant drivers of inflation both in the pre-crisis (1994–2008) and post-crisis (2008–2017) periods. Furthermore, after the crisis, in advanced economies the effect of the domestic output gap declines, while in emerging economies the effect of the global output gap declines. Our results suggest that emerging and advanced economies have become more similar to each other in terms of output gaps as inflation drivers. The paper demonstrates the usefulness of the New Keynesian Phillips curve in identifying the impact of global and domestic output gaps on inflation.     

A quantile regression decomposition of urban–rural inequality in Vietnam

We use the Vietnam Living Standards Surveys from 1993 and 1998 to examine inequality in welfare between urban and rural areas in Vietnam. Real per capita household consumption expenditure (RPCE) is our measure of welfare. We apply a quantile regression decomposition technique to analyze the difference between the urban and rural distributions of log RPCE. In the earlier survey, the urban–rural gap is primarily due to differences in covariates such as education, ethnicity, and age. This is true across the entire distribution. In the later survey, this is true only for lowest quantiles. For the rest of the distribution, the gap is primarily due to differences in returns to covariates between the urban and rural sectors.     

家庭异质性视角下城乡居民家庭碳排放研究——以陕西为例

为把握城乡居民各种口径碳排放的变动趋势,借鉴IPCC推荐方法及投入产出分析方法,分别测算2005—2017年陕西省居民家庭各种口径的碳排放量,发现陕西城镇家庭各口径碳排放量均高于农村家庭;为分析引起城乡居民家庭直接和间接碳排放总量变动的深层原因,借鉴对数平均迪氏指数分解(LMDI)模型,发现家庭人均收入、家庭户数效应、家庭规模效应、能源消费结构、能源消费强度、家庭消费率、家庭消费结构等表征家庭异质性的变量对城乡家庭直接及间接碳排放总量有不同程度的正向驱动或负向驱动效应,并根据研究结论对地方政府控制家庭碳排放量提出政策建议。     

Understanding the gender wage-gap differential between the public and private sectors in Italy: A quantile approach

This paper analyzes the gender-based wage gaps across the wage distribution in the private and public sectors in Italy for the years 2005–2010. We use quantile regression methods to estimate and decompose the wage gap at all wage levels and propose a two-step procedure that relies on a novel approach to estimating fixed effects quantile regressions. The method's main advantage is that it allows the employment sector's marginal effect on wages at various points of the distribution to be estimated, while accounting for both observable and time-invariant unobservable factors. The new method stresses important differences with respect to standard decomposition analyses and amplifies the differences in the two sectors' wage-setting mechanisms. When the estimation is net of individual heterogeneity, the gender-based wage gap decreases in both sectors and there is evidence of a glass ceiling effect, but only in the public sector. Economic grounds are provided.     

Bubbles and house price dispersion in the United States during 1975–2017

We investigate the rapid growth in the dispersion of housing prices across metropolitan statistical areas (MSAs) in the United States during 1975–2017. We first examine several explanations for this pattern, and find that it is difficult to fully explain it. Our econometric analyses show that the log of price-to-rent ratios follows a random walk process. We then set up a parsimonious asset-pricing island model. We find that the dispersion of fundamental housing prices grow too slow relative to that in data. Incorporating rational bubble solutions, our calibrated model can match the rapid growth in the dispersion of housing prices.     

Logistics infrastructure and export survival in European Union countries

Empirica - This study investigates the effects of logistics performance on export survival using a sample of 28 European Union (EU-28) exporters and 70 importers for the 2005–2017 period. We...     

基于户籍制度的教育回报差异:对工资歧视的再考察

利用2005年全国1%人口抽样调查数据,分析了我国东南部十一个省份就业者基于户籍制度的收入差异。户口类型对于工资的影响可以被不同户口类型人群的教育回报差距所解释。不同户口类型人群间教育回报的差距随着教育年限的下降而显著扩大。这一结果支持了在解释基于户籍制度的工资歧视的合理性方面信息经济学的有关理论。我国城乡间义务教育水平的差距引起了基于户籍制度的教育回报差异,进而导致了基于户籍类型的工资歧视。     

Does past unemployment experience explain the transition happiness gap?

The profound economic and political changes of the 1990s had detrimental social effects in many domains of life in post-socialist countries, including diminishing life expectancy and growing unhappiness. Despite economic improvements in the second decade of transition, research has documented that happiness lagged behind. We test whether past unemployment experience can explain this ”transition happiness gap in the context of Ukraine”, a country with a painful delayed transition from planned to market economy. We analyze unique longitudinal data for the period 2003–2012. Current unemployment substantially reduces subjective wellbeing, and the effect is roughly 50% larger for men than for women. The effect of past unemployment is significant, but small in magnitude compared to the effect of current unemployment. However, it does correspond to around 8% of the “transition happiness gap” found by Guriev and Melnikov (2017), suggesting that past unemployment experience can be considered as a partial explanation.     

The effect of the Affordable Care Act Medicaid expansion on consumer bankruptcies

Medical expenses have been associated with a large proportion of consumer bankruptcies in the United States. The objective of this study is to examine the relationship between the Medicaid expansion implemented in the context of the Affordable Care Act and consumer bankruptcy, overall and by chapter filing. We used a longitudinal study design with a study period of 2008–2017. We tested three approaches: difference-in-differences, fixed effect panel linear regression, and triple difference. We constructed a panel dataset from 2008 to 2017 with states’ data using data from various sources on insurance, bankruptcy filings, and characteristics that may affect bankruptcy, such as income and ethnicity. The outcomes were the annual rates of consumer bankruptcies overall and by chapter at the state level. Between 2008 and 2017, the overall unadjusted bankruptcy filing rate fell from 0.36% to 0.24%. We found that the expansion was associated with a decrease in overall consumer bankruptcy varying between 0.035 and 0.039 percentage points and that the intensity of the effect was modulated by the intensity of the treatment. Results were consistent across models and suggest that the Medicaid expansion had a significant negative effect on overall bankruptcy filings and specifically on Chapter 7 filings.     

Does past unemployment experience explain the transition happiness gap?

The profound economic and political changes of the 1990s had detrimental social effects in many domains of life in post-socialist countries, including diminishing life expectancy and growing unhappiness. Despite economic improvements in the second decade of transition, research has documented that happiness lagged behind. We test whether past unemployment experience can explain this “transition happiness gap in the context of Ukraine”, a country with a painful delayed transition from planned to market economy. We analyze unique longitudinal data for the period 2003–2012. Current unemployment substantially reduces subjective wellbeing, and the effect is roughly 50% larger for men than for women. The effect of past unemployment is significant, but small in magnitude compared to the effect of current unemployment. However, it does correspond to around 8% of the ‘’transition happiness gap” found by Guriev and Melnikov (2017), suggesting that past unemployment experience can be considered as a partial explanation.     

The Risks and Dynamics of Health Care Expenditures in Urban China： An Illustration in Kunshan City

This paper examines the individual financial risk of health care expenditures over time in urban China, .using longitudinal health expenditure data from 2005 to 2007 in Kunshan City, Jiangsu Province, China. We find that the stochastic process of log total health care expenditures is well represented by the sum of an AR（3） process and white noise process. Simulating this model, we find that the urban health insurance system protects enrollees from the risk of catastrophic health care expenditures by bearing the majority of the health care expenditures. However, out-of-pocket health care expenditures represents a considerable risk to an individual＇s financial status.     

Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction,with reference to Spain

In this article, we examine whether variations in the level of public capital across Spain's Provinces affected productivity levels over the period 1996 to 2005. The analysis is motivated by contemporary urban economics theory, involving a production function for the competitive sector of the economy (‘industry’) which includes the level of composite services derived from ‘service’ firms under monopolistic competition. The outcome is potentially increasing returns to scale resulting from pecuniary externalities deriving from internal increasing returns in the monopolistic competition sector. We extend the production function by also making (log) labour efficiency a function of (log) total public capital stock and (log) human capital stock, leading to a simple and empirically tractable reduced form linking productivity level to density of employment, human capital and public capital stock. The model is further extended to include technological externalities or spillovers across provinces. Using panel data methodology, we find significant elasticities for total capital stock and for human capital stock, and a significant impact for employment density. The finding that the effect of public capital is significantly different from zero, indicating that it has a direct effect even after controlling for employment density, is contrary to some of the earlier research findings which leave the question of the impact of public capital unresolved.     

Provincial economic performance and underpricing of IPOs: Evidence from political interventions in China

We examine the underpricing of 2,131 Chinese initial public offerings (IPOs) between 2005 and 2017. The results indicate that state-owned enterprises (SOEs) controlled by the local government (local SOEs) offer significantly higher underpricing when they go public than SOEs controlled by the central government and non-SOEs do. This phenomenon is evident for local SOEs from less developed provinces, after controlling for the direct effect of regional economic performance. These results suggest local government officials underprice initial public offerings to make regional companies successfully go public to promote the regional economy.     

Measuring the gender wage gap—a methodological note

ABSTRACT

We propose to estimate the Blinder-Oaxaca decomposition by a single-equation model augmented with interactions between the group membership and other predictors. The relative importance of predictors on the discriminatory wage gap is examined by the interaction coefficients, which may lead to very different conclusions than the usual percentage calculations using the detailed decomposition method. Comparisons are made between the traditional interpretations and those suggested here using wage data from Finland. The decomposition analysis suggests that the discriminatory male-female wage gap is largely related to work experience, while our preferred model points to the importance of family gap and working industry.