Similarity breeds connection. This principle—the homophily principle—structures network ties of every type, including marriage, friendship, work, advice, support, information transfer, exchange, comembership, and other types of relationship. The result is that people's personal networks are homogeneous with regard to many sociodemographic, behavioral, and intrapersonal characteristics. Homophily limits people's social worlds in a way that has powerful implications for the information they receive, the attitudes they form, and the interactions they experience. Homophily in race and ethnicity creates the strongest divides in our personal environments, with age, religion, education, occupation, and gender following in roughly that order. Geographic propinquity, families, organizations, and isomorphic positions in social systems all create contexts in which homophilous relations form. Ties between nonsimilar individuals also dissolve at a higher rate, which sets the stage for the formation of niches (localize...

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Birds of a Feather: Homophily in Social Networks

世界経済・社会統計 = World development indicators

It is argued that P-values and the tests based upon them give unsatisfactory results, especially in large samples. It is shown that, in regression, when there are many candidate independent variables, standard variable selection procedures can give very misleading results. Also, by selecting a single model, they ignore model uncertainty and so underestimate the uncertainty about quantities of interest. The Bayesian approach to hypothesis testing, model selection, and accounting for model uncertainty is presented. Implementing this is straightforward through the use of the simple and accurate BIC approximation, and it can be done using the output from standard software. Specific results are presented for most of the types of model commonly used in sociology. It is shown that this approach overcomes the difficulties with P-values and standard model selection procedures based on them. It also allows easy comparison of nonnested models, and permits the quantification of the evidence for a null hypothesis of interest, such as a convergence theory or a hypothesis about societal norms.

https://www.jstor.org/stable/pdfplus/271063.pdf

Bayesian Model Selection in Social Research

A Treatise on the Family. G. S. Becker. Cambridge, MA: Harvard University Press. 1981. Gary Becker is one of the most famous and influential economists of the second half of the 20th century, a fervent contributor to and expounder of the University of Chicago free-market philosophy, and winner of the 1992 Nobel Prize in economics. Although any book with the word "treatise" in its title is clearly intended to have an impact, one coming from someone as brilliant and controversial as Becker certainly had such a lofty goal. It has received many article-length reviews in several disciplines (Ben-Porath, 1982; Bergmann, 1995; Foster, 1993; Hannan, 1982), which is one measure of its scholarly importance, and yet its impact is, I think, less than it may have initially appeared, especially for scholars with substantive interests in the family. This book is, its title notwithstanding, more about economics and the economic approach to behavior than about the family. In the first sentence of the preface, Becker writes "In this book, I develop an economic or rational choice approach to the family." Lest anyone accuse him of focusing on traditional (i.e., material) economics topics, such as family income, poverty, and labor supply, he immediately emphasizes that those topics are not his focus. "My intent is more ambitious: to analyze marriage, births, divorce, division of labor in households, prestige, and other non-material behavior with the tools and framework developed for material behavior." Indeed, the book includes chapters on many of these issues. One chapter examines the principles of the efficient division of labor in households, three analyze marriage and divorce, three analyze various child-related issues (fertility and intergenerational mobility), and others focus on broader family issues, such as intrafamily resource allocation. His analysis is not, he believes, constrained by time or place. His intention is "to present a comprehensive analysis that is applicable, at least in part, to families in the past as well as the present, in primitive as well as modern societies, and in Eastern as well as Western cultures." His tone is profoundly conservative and utterly skeptical of any constructive role for government programs. There is a clear sense of how much better things were in the old days of a genderbased division of labor and low market-work rates for married women. Indeed, Becker is ready and able to show in Chapter 2 that such a state of affairs was efficient and induced not by market or societal discrimination (although he allows that it might exist) but by small underlying household productivity differences that arise primarily from what he refers to as "complementarities" between caring for young children while carrying another to term. Most family scholars would probably find that an unconvincingly simple explanation for a profound and complex phenomenon. What, then, is the salient contribution of Treatise on the Family? It is not literally the idea that economics could be applied to the nonmarket sector and to family life because Becker had already established that with considerable success and influence. At its core, microeconomics is simple, characterized by a belief in the importance of prices and markets, the role of self-interested or rational behavior, and, somewhat less centrally, the stability of preferences. It was Becker's singular and invaluable contribution to appreciate that the behaviors potentially amenable to the economic approach were not limited to phenomenon with explicit monetary prices and formal markets. Indeed, during the late 1950s and throughout the 1960s, he did undeniably important and pioneering work extending the domain of economics to such topics as labor market discrimination, fertility, crime, human capital, household production, and the allocation of time. Nor is Becker's contribution the detailed analyses themselves. Many of them are, frankly, odd, idiosyncratic, and off-putting. …

A Treatise on the Family

We investigate whether income inequality affects subsequent growth in a cross-country sample for 1965-90, using the models of Barro (1997), Bleaney and Nishiyama (2002) and Sachs and Warner (1997), with negative results. We then investigate the evolution of income inequality over the same period and its correlation with growth. The dominating feature is inequality convergence across countries. This convergence has been significantly faster amongst developed countries. Growth does not appear to influence the evolution of inequality over time. Outline

https://www.econstor.eu/bitstream/10419/81822/1/02-28.pdf

Economic growth and income inequality

Knowledge of actual poverty prevalence is important for any society concerned with improving public welfare and reducing poverty. In this paper, we calculate and compare the poverty incidence rate in China using four nationally representative surveys: the China Family Panel Studies (CFPS) of 2010, the Chinese General Social Survey (CGSS) of 2010, the Chinese Household Finance Survey (CHFS) of 2011, and the Chinese Household Income Project (CHIP) of 2007. Using both international and official domestic poverty standards, we show that poverty prevalence at the national, rural, and urban levels based on the CFPS, CGSS, and the CHFS are much higher than the official estimation and those based on the CHIP. The study highlights the importance of using independent datasets to validate official statistics of public and policy concern in contemporary China.

/pdf/an-evaluation-of-poverty-prevalence-in-china-new-evidence-wx85g2ztj2.pdf

An Evaluation of Poverty Prevalence in China: New Evidence from Four Recent Surveys

We offer a propensity score perspective to interpret and analyze the marginal treatment effect (MTE). Specifically, we redefine MTE as the expected treatment effect conditional on the propensity score and a latent variable representing unobserved resistance to treatment. As with the original MTE, the redefined MTE can be used as a building block for constructing standard causal estimands. The weights associated with the new MTE, however, are simpler, more intuitive, and easier to compute. Moreover, the redefined MTE immediately reveals treatment effect heterogeneity among individuals at the margin of treatment, enabling us to evaluate a wide range of policy effects.

Marginal Treatment Effects from a Propensity Score Perspective.

Heterogeneity in returns to college education: selection bias in contemporary taiwan.

Taiwan has experienced a rapid expansion in higher education since the 1990s. To gauge changes in earnings returns to higher education caused by this expansion, this paper estimates college effects on earnings using both the conventional Mincer-type regression model and the revised truncated-sample model that adjusts for the selection mechanisms into college. We also apply Xie and Wu's (2005) hierarchical linear model approach to test if the treatment effects of higher education vary as a function of propensity scores strata estimated. Using nationwide data collected in the early 1990s and the early 2000s, we focus on young entrants to the labor market. Our results indicate that average returns to college education remain stable over time. We also find that in both periods, there is a strong negative selection mechanism at work: when workers with a low latent propensity of receiving college education indeed did go to college, they benefit the most from the college attendance.

Changes in Earnings Returns to Higher Education in Taiwan since the 1990s

Universalism—the evaluation of scientists' achievements based on merit alone rather than on functionally irrelevant factors ( 1 – 3 )—has long been an unquestioned norm in science. Its existence is best illustrated by the reactions of outrage whenever a violation of universalism in science is exposed. For example, a study by Moss-Racusin et al. received a lot of attention in the scientific community because it found that when assessing application materials, science faculty rated students with male names as more competent than students who were otherwise identical but had been given female names ( 4 ). In a recent study, Fisman et al. ( 5 ) find evidence for favoritism in Chinese science: The election of membership to the two most prestigious scientific organizations, the Chinese Academy of Sciences (CAS) and the Chinese Academy of Engineering (CAE), appears to be influenced by “guanxi,” or social network, as measured by hometown ties between candidates and selection committee members.

https://science.sciencemag.org/content/sci/355/6329/1022.full.pdf

Yu Xie

Papers

An Evaluation of Poverty Prevalence in China: New Evidence from Four Recent Surveys

Marginal Treatment Effects from a Propensity Score Perspective.

Heterogeneity in returns to college education: selection bias in contemporary taiwan.

Changes in Earnings Returns to Higher Education in Taiwan since the 1990s

It's whom you know that counts