Recent papers have suggested that the Industrial Revolution in Europe ultimately derives from the labor scarce economy of northwest Europe, which some trace back to the Black Death [Voigtländer and Voth (2013a) and Allen (2011)]. This paper examines the effects of the Black Death in England. Specifically, did it merely change relative factor prices, or did it lead to lasting gains in the efficiency of the economy after 1348? Extensive wage and price data from England 1210–1800 suggest that the population losses of the Black Death were associated with a surprising increase in economic efficiency, despite the decline in the scale of the economy. But this efficiency gain disappeared when population rose again in the 16th century. There is no sign of a connection between a labor scarce economy, and a switch to faster long run economic growth through technological advance.

A variety of states in the United States have adopted the “homemaking provision” in their divorce laws since the 1980s. The provision requires judges to recognize homemakers’ contribution to their marriages in dividing marital properties at divorce. I model the marital decisions of couples as a sequential game, in which the potential wife’s decision in whether to marry and specialize in home production depends on whether she is legally protected by the homemaking provision, as the law would reinforce her post-divorce property rights and therefore increase her bargaining power within the marriage. I use the variation in the timing of the passage of the homemaking provision to identify its effect on marriage. I find that the provision substantially increases marriages using both state- and individual-level data.

This paper models how migration both influences and responds to differences in disease prevalence between cities and shows how the possibility of migration away from high-prevalence areas affects long-run steady state disease prevalence. We develop a dynamic framework where migration responds to the prevalence of disease, to the costs of migration and to the costs of living. The model explores how pressure for migration in response to differing equilibrium levels of disease prevalence generates differences in city characteristics such as land rents. Competition for scarce housing in low-prevalence areas can create segregation, with disease concentrated in high-prevalence “sinks”. We show that policies affecting migration costs affect the steady-state disease prevalences across cities. In particular, migration can reduce steady-state disease incidence in low-prevalence areas while having no impact on prevalence in high-prevalence areas. This suggests that, in some circumstances, public health measures may need to avoid discouraging migration away from high-disease areas.

We are among the first to use American time-use data to investigate non-market behavior in gay and lesbian households. We contribute to a literature that has documented a gay disadvantage and lesbian advantage in the labor market. Many have proposed that this pattern reflects, relative to their heterosexual counterparts, higher levels of household labor among gay men and lower levels of household labor among lesbian women. Results show that gay men, parents in particular, spend more time in household production than heterosexual men. We find evidence of different time-use patterns for lesbians, but they are driven by characteristics not sexual orientation. These results also contribute to the economics of the household showing that time use in same-sex households with weaker gender constructs does not conform to the predictions of models that highlight comparative advantage as a source of specialization.

We analyze the interaction of black–white race with physical and socioeconomic characteristics in the US marriage market, using data from the Panel Study of Income Dynamics. We estimate who inter-racially marries whom along anthropometric and socioeconomic characteristics dimensions. The black women who inter-marry are the thinner and more educated in their group; instead, white women are the fatter and less educated; black or white men who inter-marry are poorer and thinner. While women in “mixed” couples find a spouse who is poorer but thinner than if they intra-married, black men match with a white woman who is more educated than if they intra-married, and a white man finds a thinner spouse in a black woman. Our general findings are consistent with the “social status exchange” hypothesis, but the finding that black men who marry white women tend to be poorer than black men who marry black women is not.

This paper produces new estimates for white and black mortality and fertility at the state level from 1800(20)–2000. It produces new estimates of black and white schooling for this same period. Using a calibrated model of black and white parents, we fit the time series of black and white fertility and schooling. We then produce estimates of the benefits of equal education opportunity for blacks over the period 1820–2000. For the better part of US history, blacks have suffered from less access to schooling for their children than whites. This paper quantifies the magnitude of this discrimination. Our estimates of the welfare cost of this discrimination prior to the Civil War range between 0.5 and 20 times black wealth, and between 0.5 and 10 times black wealth prior to 1960. Further we find that the Civil Rights era was valued by blacks in the South by between 1% to 2% of wealth. Outside of the South, we find significant costs of discrimination prior to 1960, ranging from 6% to 150% of black wealth. For these divisions from 1960–2000, blacks have attained rough parity in schooling access. The welfare magnitudes are similar to the hypothetical gains to blacks if they had white mortality rates. We show that the model’s black and white human capital series are strongly, positively correlated with state output measures, black and white permanent incomes and black and white earnings.

This paper argues that the conventional strategy of identifying a cultural effect using variation across countries of origin may be biased because the assumption that all immigrants make their choices in an identical environment in the host country is unlikely to hold true, even when controlling for individual characteristics. We discuss different mechanisms behind the bias and propose to eliminate it by exploiting only the variation within countries of origin. In our application (fertility of immigrants in Germany), the cultural effect survives this more demanding specification; however, the estimated coefficient is smaller compared to estimations that rely on cross-country variation for identification. We also show that the cultural influence is considerably smaller in the second generation of immigrants.

The most common measure of reproductive behavior is the total fertility rate, which measures children born per woman. However, little work exists measuring male fertility behavior. We use survey data from several waves of the Demographic and Health Surveys (DHS) in eight Sub-Saharan African countries. We document several interesting differences in fertility outcomes of men and women. First, comparing completed fertility by birth cohorts, we find that on average men have more children than women in seven out of eight countries we consider. The gaps are large – reaching up to 4.6 children in Burkina Faso. Positive gaps are possible when populations are growing and men father children with younger women. Such a situation often coincides with polygyny. Indeed, we find that the fertility gap is positively related to the degree of polygyny. Second, we find a lower variance in completed fertility rates for women than for men, especially in high polygyny countries. Third, we find that differences in the desire to have children can largely be explained by differences in realized fertility. Finally, we find that for men, the demographic transition started earlier and was steeper than for women. These novel facts are useful when building theories of fertility behavior.

Stochastic dominance (SD) is commonly used to rank income distributions and assess social policies. The literature argues that SD is a robust criterion for policy evaluation because it requires minimal knowledge of the social welfare function. We argue that, on the contrary, SD is not a robust criterion. We do this by carefully introducing microfoundations into a model by Chu and Koo (1990) who use SD to provide support to family-planning programs aiming at reducing the fertility of the poor. We show that fertility restrictions are generally detrimental for both individual and social welfare in spite of the fact that SD holds. Our findings are an application of the Lucas’ Critique.

Life expectancy at birth has more than doubled in Europe since the early 19th century. This demographic trend constitutes a major victory against scarcity, but raises also deep challenges to the Welfare State, concerning the sustainability and the equity of the social protection system. This paper surveys recent developments in the economic analysis of longevity, both at the positive and the normative levels. Taking mortality risks into account is shown to affect the study of the life cycle model significantly, in particular concerning the strength of life horizon effects. It raises also, at the level of normative foundations for policy-making, a dilemma between ex ante and ex post valuations. Finally, we explore the design of policy reforms under varying longevity, in fields including preventive and curative policies, education, pension, and wealth taxation.

We hereby present a dataset produced at the Wittgenstein Centre (WIC) containing comprehensive time series on educational attainment and mean years of schooling (MYS). The dataset is split by 5-year age groups and sex for 171 countries and covers the period between 1970 and 2010. It also contains projections of educational attainment to 2060 based on several scenarios of demographic and educational development. The dataset is constructed around collected and harmonized empirical census and survey data sets for the projection base year. The paper presents the principles and methodology associated with the reconstruction and the projection, and how it differs from several previous exercises. It also proposes a closer look at the diffusion of education in world regions and how the existing gaps in terms of generation, gender, and geography have been evolving in the last 40 years.

The process of structural transformation from the farm to a nonfarm sector is accompanied by technological change in both sectors and massive population growth. We investigate the effects of increasing population size (the population effect) and sector-specific productivity (the push and pull effects), both factor-neutral and factor-biased, in a parsimonious general equilibrium model under general forms of utility and production functions. All three effects may co-exist and interact in important ways. Generalizing the agricultural sector production function to CES is crucial for the population growth effect. Our analysis highlights how the relative importance of the three effects changes as the country develops and production and consumption conditions become more flexible.

This paper discusses the use of Chinese genealogies for research on economic demography. I focus both on what is known about the genealogy as a data source, and what are the open questions for future research. Chinese genealogies contain records at the individual level. With the publication of new catalogs and efforts to collect genealogies, the number of genealogies is even larger than previously thought, with most dating to the late Ming (1368–1644) and Qing (1644–1911) Dynasties. These records contain a rich source of information about the Chinese population history, over a period for which there is no alternative source of information. Yet, the source still remains largely unexploited. Although the work of transcribing the data is significant, and selection biases need to be carefully considered, preliminary analysis of the data for a sample of married men for Tongcheng County in Anhui Province suggests these data are a rich source of information for demographic and economics research.