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In the world, many women are at risk of being exposed to economic, physical, sexual, psychological, and emotional violence, or even intentional homicide. They might also be exposed to discrimination based on their socio-demographic characteristics, such as their ethnic background, religion, and educational level. The purpose of this book is to bring together academics and researchers working in the fields of applied econometrics and applied statistics as they pertain to women’s issues. The twelve-chapter book includes insights on present econometric and statistical methodologies on women’s issues, as well as a better understanding and evaluation of contemporary policy implications, initiatives, and procedures pertaining to women.
This dissertation incorporates several estimation procedures and modeling techniques to investigate important issues in health economics. All of the essays are tied to the application of econometrics in health related topics, but the techniques used in this research can be applied to many issues in agricultural, environmental and development economics.
This dissertation consists of three chapters that study econometrics questions and their applications to education. Chapter 1 studies a nonparametric two-sided many-to-one matching model, where many agents on one side match one institution on the other side. Classical examples include student-college matching and firm-worker matching. In this paper, I study nonparametric identification and estimation of many-to-one matching with non-transferable utility. The existing literature either assumes that the matching algorithm and reported preferences are observed or that preferences are homogeneous. This paper assumes heterogeneous preferences on the two sides and only requires data on who matches with whom in a single large market. Under mild restrictions, I prove that both the utility functions of the students and colleges and the joint distribution of unobserved heterogeneity from the two sides are nonparametrically identified. Based on my constructive identification results, I propose nonparametric and semiparametric estimators of the model and establish their consistency and asymptotic normality. The semiparametric estimator converges at a root-n rate. Chapter 2 analyzes the U.S. college admissions under a many-to-one matching framework. In recovering the parameters of the utility functions, I am able to demonstrate substantial welfare consequences for different groups of students, relative to a centralized matching mechanism. In estimating the model using data from High School Longitudinal Study of 2009 (HSLS:09) and the Integrated Postsecondary Education Data System (IPEDS), I show that the students who experience the largest losses are first-generation college students and low-ability students. This potential loss among these groups provides an opportunity for policy interventions to lead to substantial gains in welfare. Chapter 3 (joint with Kathleen McGarry) studies the three generations of changing gender patterns of schooling in China. The phenomenon of son preference in China and throughout much of Asia has been well documented. However, changing economic conditions, such as increases in educational attainment and employment opportunities for women and the rise in the prevalence of one child families, have likely changed the incentives for parents to invest in daughters. In this paper, we take advantage of data spanning three generations of Chinese families to examine the evolution of educational attainment for boys and girls and importantly the relative levels of schooling of each gender. We also use variation in the timing of compulsory schooling laws and the implementation of the one child policy to assess the effect of these policy measures on the relative educational levels. We find a substantial narrowing of the gap between the schooling of boys and girls, so much so that girls now have more schooling on average than boys. In addition, public policy initiatives had a larger effect in rural than urban areas.
The transformation of women's lives over the past century is among the most significant and far-reaching of social and economic phenomena, affecting not only women but also their partners, children, and indeed nearly every person on the planet. In developed and developing countries alike, women are acquiring more education, marrying later, having fewer children, and spending a far greater amount of their adult lives in the labor force. Yet, because women remain the primary caregivers of children, issues such as work-life balance and the glass ceiling have given rise to critical policy discussions in the developed world. In developing countries, many women lack access to reproductive technology and are often relegated to jobs in the informal sector, where pay is variable and job security is weak. Considerable occupational segregation and stubborn gender pay gaps persist around the world. The Oxford Handbook of Women and the Economy is the first comprehensive collection of scholarly essays to address these issues using the powerful framework of economics. Each chapter, written by an acknowledged expert or team of experts, reviews the key trends, surveys the relevant economic theory, and summarizes and critiques the empirical research literature. By providing a clear-eyed view of what we know, what we do not know, and what the critical unanswered questions are, this Handbook provides an invaluable and wide-ranging examination of the many changes that have occurred in women's economic lives.
This volume collects seven classic essays on panel data econometrics, and a cogent essay on the history of the subject.
This book is a definitive work that captures the current state of knowledge of Bayesian Analysis in Statistics and Econometrics and attempts to move it forward. It covers such topics as foundations, forecasting inferential matters, regression, computation and applications.
This dissertation contributes towards our understanding of Labor Economics and Applied Econometrics. It consists of three chapters. The first two chapters shed light on the determinants of female labor supply behavior by connecting theory to household-level data. The third chapter studies the nonlinear generalized method of moments (GMM) in dynamic panels and its application to value-added models of learning. In Chapter 1, I propose that the rising sex ratio (number of males per female) imbalance has been an important factor in the recent feminization of rural-to-urban migration in China. To establish this connection, I first develop a three-player noncooperative household model in which both the parents and the daughter contribute time or money to improve the well-being of sons. The local sex ratio can affect the players' choices via two channels: either by influencing the preference towards sons, or by imposing negative impact on sons' welfare due to intensified marriage market competition. My model predicts that daughters are more likely to participate in migratory work when the local sex ratio is higher. Drawing on data from Rural-Urban Migration in China Survey, I then test the hypothesis by comparing unmarried rural women with brothers and those without brothers when conditioning on family size. My identification strategy exploits the exogenous variation in the number of brothers a rural woman has that comes from the randomness in parental sibling structure. I show that an increase in the local sex ratio significantly raises the probability of becoming a migrant worker for unmarried rural women who have brothers, while no significant effect is observed among those without brothers. The positive link is stronger for rural women who have a larger number of brothers or whose brothers are relatively younger. I also discover that around 40% of the increase in rural female labor migration rate from 1990 to 2000 could be explained by the changes in the sex ratio. I further find evidence in favor of the marriage market pressure mechanism. Chapter 2 (joint work with Zhongda Li) examines the intergenerational determinants of women's labor force participation decision. Existing studies have established a positive correlation between a married woman's work behavior and her mother-in-law's. Such linkage is attributable to the profound influence of maternal employment on son's gender role preferences or household productivity. In this chapter we investigate the relative importance of the two potential mechanisms using the Chinese survey data. We show that a substantive part of the intergenerational correlation is left unexplained even if we control for the husband's gender role attitudes. Instead, we find that the husband's household productivity is more crucial in the wife's work decision, suggesting the dominance of the endowment channel over the preference channel. Chapter 3 develops a novel framework for constructing nonlinear moment conditions in dynamic panel data models. I demonstrate that the nonlinear GMM estimator considerably mitigates the classical weak identification problem arising from two data generating processes: (i) the autoregressive parameter is close to the unit circle; (ii) the ratio of variances of individual heterogeneity and idiosyncratic errors diverges to infinity. I further derive analytical expressions for the bias term of the linear and nonlinear GMM estimators, and show that the use of nonlinear moments results in smaller finite sample bias. In simulation studies, the nonlinear GMM estimator performs well compared to both the difference and system GMM estimators. As an empirical illustration, I estimate the effect of class size reduction and private school attendance on student academic achievement using a value-added model with learning dynamics.
The collection of chapters in Volume 43 Part B of Advances in Econometrics serves as a tribute to one of the most innovative, influential, and productive econometricians of his generation, Professor M. Hashem Pesaran.
In recent years economics has been the subject of increasingly severe criticism. It has failed both to predict and to counteract the economic crisis now affiicting nearly the whole Western world. Economic life is more disrupted than ever: - the rate of inflation has risen alarmingly - unemployment has not been as high since the 1930s - economic growth is stagnating - there is increasing opposition to the inequality in the distribution of income and wealth, on a national scale as well as in the world at large - the process of economic integration (EEC, GATT, UNCT AD) is being thwarted - programmes of economic development in the third world have not produced the desired effects - etcetera. Obviously, it would not be fair to put the blame for the crisis on economic science. But the present predicament does call for serious consideration of the limitations of economic explanation. Among the social sciences, economics is unquestionably the most advanced discipline. Its very sophistication, however, leads it to abstract from social phenomena such as norms, institutions, power, conflict and social change. Thus the manifest influence of sociological variables on the course of economic processes remains hidden. Dominating this book as a drumbeat is the conviction held by the several authors that a clearer grasp of the current problems may be obtained if economists and sociologists are prepared to co-operate more closely. An interdisciplinary approach is warranted; the distinction between the social sciences should be less sharply drawn.