We develop a method which assumes that marital preferences are characterized either by the scalar-valued measure proposed by Liu and Lu, or by the matrix-valued generalized Liu–Lu measure. The new method transforms an observed contingency table into a counterfactual table while preserving its (generalized) Liu–Lu value. After exploring some analytical properties of the new method, we illustrate its application by decomposing changes in the prevalence of homogamy in the US between 1980 and 2010. We perform this decomposition with two alternative transformation methods as well where both methods capture preferences differently from Liu and Lu. Finally, we use survey evidence to support our claim that out of the three considered methods, the new transformation method is the most suitable for identifying the role of marital preferences at shaping marriage patterns. These data are also in favor of measuring assortativity in preferences à la Liu and Lu.

Investment in family planning (FP) provides returns through a lifetime. Global evidence shows that FP is the second-best buy in terms of return on investment after liberalizing trade. In this study, we estimate the cumulative benefits of FP investments for India from 1991 to 2016 and project them up to 2061 with four scenarios of fertility levels. The findings suggest that India will have greater elasticity of FP investments to lifetime economic returns compared to the world average (cost–revenue ratio of 1:120). We have taken four scenarios for the goalpost, viz., 2.1, 1.8, 1.6, and 1.4. Although different scenarios of total fertility rate (TFR) levels at the goalpost (i.e., the year 2061) offer varied lifetime returns from FP, scenario TFR < 1.8 will be counterproductive and will reduce the potential benefits. With a comprehensive approach, if the country focuses more on improving the quality of FP services and on reducing the unmet need for FP to enhance reproductive health care and expand maximum opportunities for education and employment for both women and men, it can improve its potential to reap more benefits.

This paper studies the impact of immigration on native labor market outcomes in South Korea. We exploit the variation in immigration flows in an education-experience cell and find that, on average, immigration has no harmful effect on the wages or employment of native workers. However, there is a great heterogeneity of wage effects across education groups: high school dropouts suffer from the adverse effects, whereas the effects for college graduates are positive. We find the potential explanation for these differential effects in the suggestive evidence on the degree of substitution. Specifically, we examine the similarity of occupational distribution between natives and immigrants and assimilation patterns for immigrants.

Simple ordinary least squares estimates indicate that absent fathers boost probabilities of adolescent criminal behavior by 16–38%, but those numbers likely are biased by unobserved heterogeneity. This paper first presents an economic model explaining that unobserved heterogeneity. Then turning to empirics, fixed effects, which attempt to address that bias, suggest that absent fathers reduce certain types of adolescent crime, while lagged-dependent variable models suggest the opposite. Those conflicting conclusions are resolved by an approach that combines those two estimators using an orthogonal reparameterization approach, with model parameters calculated using a Bayesian algorithm. The main finding is that absent fathers do not appear to directly affect adolescent criminal activity. Rather, families with absent fathers possess traits that appear to correlate with increased adolescent criminal behaviors.

A potential solution to low fertility is the employment of foreign domestic workers (FDWs), who substitute child-rearing and housework duties, thus reducing child-rearing costs. Recent studies argue that the flow of low-skilled foreign workers into the childcare sector influences fertility choice. However, these studies mainly use the availability of FDWs in the local area as the causal inference and focus on Western countries, making it difficult to identify individual direct effects or generalize the findings to other countries. To bridge this research gap and examine the impacts, this study uses household data from the Hong Kong census. Employing ordinary least squares, the inverse probability weighted regression adjustment, and the instrumental variable approach, we find that households that employ live-in FDWs give birth to more children. Moreover, the heterogeneous analysis reveals that women's greater proportional contribution to household income has a positive impact on households' fertility response after employing the FDWs.

We study a parent's demand for gratitude from his child. We view this demand as an intervening variable between the parent's earnings and the incidence of child labor. The demand for gratitude arises from the desire of a parent to receive care and support from his child late in life, while the inclination of the child to provide this support during his adulthood is determined by how the child was treated by his parent during childhood. Specifically, we model the child's gratitude as an inverse function of the intensity of his labor in childhood. We show that when we keep the child's (imputed) wage constant, the intensity of child labor decreases with the parent's earnings. However, when we make the child's (imputed) wage a function of the parent's earnings, then the outcome can be different. With the help of a numerical example, we show that the pattern of child labor related to the parent's earnings can be U-shaped.