Prenatal Sex Selection and Girls' Well-Being: Evidence from India

In this paper, we study the impact of prenatal sex selection on the well-being of girls by analyzing changes in children's nutritional status and mortality during the years since the diffusion of prenatal sex determination technologies in India. We further examine various channels through which prenatal sex selection might affect girls’ outcomes. Using repeated cross-sections from a rich survey dataset, we show that high sex ratios at birth reflect the practice of sex selective abortion. We then exploit the large regional and time variations in the incidence of prenatal sex selection to analyze whether changes in girls' outcomes relative to boys within states and over time are associated with changes in sex ratios at birth. We find that an increase in the practice of prenatal sex selection appears to be associated with a reduction in the incidence of malnutrition among girls. The negative association is stronger for girls born in rural households and at higher birth parities. An examination of the various mechanisms linking between prenatal sex selection and children outcomes suggests that prenatal sex selection does not lead to a selection of girls into better endowed families, but there is some evidence of a larger reduction in family size for girls relative to boys. We also find an increase in girls' breastfeeding duration suggesting an improvement in parental care and treatment. On the other hand, prenatal sex selection does not appear to be associated with a reduction in excess female child mortality, or a reduction in son preference.son preference, prenatal sex selection, ultrasound, sex ratio at birth, gender discrimination, child health

Layoffs, Lemons, Race, and Gender

This paper expands on Gibbons and Katz (1991) by looking at how the difference in wage losses across plant closing and layoff varies with race and gender. We find that the differences between white males and the other groups are striking and complex. The lemons effect of layoff holds for white males as in Gibbons and Katz model, but not for the other three demographic groups (white females, black females, and black males). These three all experience a greater decline in earnings at plant closings than at layoffs. This results from two reinforcing effects. First, plant closings have substantially more negative effects on minorities than on whites. Second, layoffs seem to have more negative consequences for white men than the other groups. We also find that the relative wage losses of blacks following layoffs increased after the Civil Rights Act of 1991 which we take as suggestive of an informational effect of layoff as in Gibbons and Katz. The results are suggestive that the large losses that African Americans experience at plant closing could result from heterogeneity in taste discrimination across firms.

Prenatal sex selection and girls’ well-being? evidence from India

The paper studies the impact of prenatal sex selection on the well-being of girls by analyzing changes in children’s nutritional status and mortality during the years since the diffusion of sex-selective abortion in India. We use the ratio of male to female births in the year and state in which a child was born as a proxy for parental access to prenatal sex-selection. Using repeated cross-sections from a rich survey dataset, we show that high sex ratios at birth reflect the practice of sex-selective abortion. We then exploit the large regional and time variations in the incidence of sex-selective abortion to analyze whether changes in girls’ outcomes relative to boys within states and over time are associated with changes in sex-ratios at birth. We find that an increase in the practice of sex-selective abortion appears to be associated with a reduction in the incidence of malnutrition among girls. The negative association is stronger for girls born in rural households and at higher birth parities. We find no evidence that sex-selective abortion leads to a selection of girls into families of higher SES, however we do find some evidence of a larger reduction in family size for girls relative to boys. We also find some suggestive evidence of better treatment of girls as reflected in breast feeding duration. On the other hand, sex-selective abortion does not appear to be associated with a reduction in excess female child mortality.Abortion ; Prenatal care

Estimating the probability of leaving unemployment using uncompleted spells from repeated cross-section data

We propose a new econometric estimation method for analyzing the probability of leaving unemployment using uncompleted spells from repeated cross-section data, which can be especially useful when panel data are not available. The proposed method-of-moments-based estimator has two important features: (1) it estimates the exit probability at the individual level and (2) it does not rely on the stationarity assumption of the inflow composition. We illustrate and gauge the performance of the proposed estimator using the Spanish Labor Force Survey data, and analyze the changes in distribution of unemployment between the 1980s and 1990s during a period of labor market reform. We find that the relative probability of leaving unemployment of the short-term unemployed versus the long-term unemployed becomes significantly higher in the 1990s.Repeated cross-section data. GMM, duration analysis, unemployment

How much of the decline in unemployment is due to the exhaustion of unemployment benefits?

Prior studies have examined the impact of extended unemployment insurance (UI) benefits on the rise in the unemployment rate in this recession and early recovery. We use real-time microdata from the Bureau of Labor Statistics’ Current Population Survey (CPS) to examine whether there has been a reverse effect recently as benefits have been exhausted. We find that if UI benefits had lasted indefinitely, the unemployment rate would have been cumulatively about 0.1 to 0.3 percentage points higher between October 2009 and January 2011, which represents about 10% to 25% of the decline in the actual rate over that period.Unemployment

Displacement, Asymmetric Information, and Heterogeneous Human Capital

In a seminal paper, Gibbons and Katz (1991) develop and empirically test an asymmetric information model of the labor market. The model predicts that wage losses following displacement should be larger for layoffs than for plant closings, which was borne out by data from the Displaced Workers Survey (DWS). In this paper, we take advantage of many more years of DWS data to examine how the difference in wage losses across plant closings and layoffs varies with race and gender. We find that the differences between white males and the other groups are striking and complex. The “lemons effect” of layoffs holds for white males, as in the Gibbons-Katz model, but not for the other three demographic groups (white females, black females, and black males). These three all experience a greater decline in earnings at plant closings than at layoffs. This results from two reinforcing effects. First, plant closings have substantially more negative effects on minorities than on whites. Second, layoffs seem to have more negative consequences for white men than the other groups. These findings suggest that the Gibbons-Katz asymmetric information model is not sufficient to explain all of the data. We augment the model with heterogeneous human capital and show that this model can explain the findings. We also provide some additional evidence suggestive that both asymmetric information and heterogeneous human capital are important. In support of both explanations, we demonstrate that the racial and gender effects are surprisingly robust to region, industry, and occupation controls. To look at the asymmetric information, we make use of the Civil Rights Act of 1991, which induced employers to lay off “protected” workers in mass layoffs rather than fire them for cause. As a result, relative to whites, a layoff would be a more negative signal for blacks after 1991 than before. If information is important, this would in turn imply that blacks experience a relatively larger loss in earnings at layoffs after 1991 than prior; and that’s what we find in the data. In addition, as further evidence for heterogeneous human capital, we document for the first time in the literature that the two types of layoffs reported in the DWS data, namely layoffs due to “slack work” and “position abolished,” have very different features when compared to plant closings. Finally, we simulate our model and show that it can match the data.human capital, plant closings, layoffs, sex, gender, race

Displacement, asymmetric information and heterogeneous human capital

In a seminal paper Gibbons and Katz (1991; GK) develop and empirically test an asymmetric information model of the labor market. The model predicts that wage losses following displacement should be larger for layoffs than for plant closings, which was borne out by data from the Displaced Workers Survey (DWS). In this paper, we take advantage of many more years of DWS data to examine how the difference in wage losses across plant closing and layoff varies with race and gender. We find that the differences between white males and the other groups are striking and complex. The "lemons" effect of layoff holds for white males as in the GK model, but not for the other three demographic groups (white females, black females, and black males). These three all experience a greater decline in earnings at plant closings than at layoffs. This results from two reinforcing effects. First, plant closings have substantially more negative effects on minorities than on whites. Second, layoffs seem to have more negative consequences for white men than the other groups. These findings suggest that the GK asymmetric information model is not sufficient to explain all of the data. We augment the model with heterogeneous human capital and show that this model can explain the findings. We also provide some additional evidence suggestive that both asymmetric information and heterogeneous human capital are important. In support of both explanations, we demonstrate that the racial and gender effects are surprisingly robust to region, industry and occupation controls. To look at the asymmetric information, we make use of the Civil Rights Act of 1991 which induced employers to lay off "protected" workers in mass layoffs rather than fire them for cause. As a result, relative to whites, a layoff would be a more negative signal for blacks after 1991 than before. If information is important, this would in turn imply that blacks experience a relatively larger loss in earnings at layoffs after 1991 than prior; and that's what we find in the data. In addition, as further evidence for heterogeneous human capital, we document for the first time in the literature that the two types of layoffs reported in the DWS data, namely layoffs due to "slack work" and "position abolished" have very different features when compared to plant closings. Finally, we simulate our model and show that it can match the data.Displaced workers ; Discrimination in employment

Estimation of a Transformation Model with Truncation, Interval Observation and Time–Varying Covariates

Abrevaya (1999b) considered estimation of a transformation model in the presence of left–truncation. This paper observes that a cross–sectional version of the statistical model considered in Frederiksen, Honoré, and Hu (2007) is a generalization of the model considered by Abrevaya (1999b) and the generalized model can be estimated by a pairwise comparison version of one of the estimators in Frederiksen, Honoré, and Hu (2007). Specifically, our generalization will allow for discretized observations of the dependent variable and for piecewise constant time–varying explanatory variables.

Four Essays in Labor Economics and Microeconometrics: Dissertation Summary

This dissertation comprises four essays in labor economics and microeconometrics. In particular, I am concerned with three issues: firms\u27 hiring decisions and compensation structures; immigration and welfare; and earnings dynamics. I also propose new econometric methods for the empirical analyses

Estimation of a transformation model with truncation, interval observation and time-varying covariates

Abrevaya (1999b) considered estimation of a transformation model in the presence of left-truncation. This paper observes that a cross-sectional version of the statistical model considered in Frederiksen, Honoré, and Hu (2007) is a generalization of the model considered by Abrevaya (1999b) and the generalized model can be estimated by a pairwise comparison version of one of the estimators in Frederiksen, Honoré, and Hu (2007). Specifically, our generalization will allow for discretized observations of the dependent variable and for piecewise constant time- varying explanatory variables.