Two mechanisms have been proposed to explain sex selection in India: son preference in which parents desire a male heir and daughter aversion in which dowry payments make parents worse off with girls. Our model incorporates both mechanisms, providing micro-foundations, based on the organization of the marriage institution, for daughter aversion. Marital matching, sex selection, and dowries are jointly determined in the model, whose implications are tested on a representative sample of rural households. Simulations of the model indicate that existing policies targeting daughter aversion might exacerbate the problem, while identifying other policies that could be effective.
There are many economic environments in which an object is offered sequentially to prospective buyers. It is often observed that once the object for sale is turned down by one or more agents, those that follow do the same. One explanation for this phenomenon is that agents making choices further down the line rationally ignore their own assessment of the object and herd behind their predecessors. Our research extends the canonical herding model by allowing agents to differ in their ability to assess the quality of the offered object. We develop novel tests of herding based on this ability heterogeneity and also examine its efficiency consequences, applied to organ transplantation in the U.K. We find that herding is common but that the information lost due to herding does not substantially increase false discards of good organs or false acceptances of bad organs. Our counter-factual analysis indicates that this is due (in part) to the high degree of heterogeneity in ability across transplant centers. In other settings, such as the U.S., where organ transplantation is organized very differently and the ability distribution will not be the same, the inefficiencies due to herding might well be substantial.
This research connects two seemingly unrelated facts that have recently been documented in developing countries, with important consequences for global health: (i) the weak association between nutritional status and income, and (ii) the elevated risk of diabetes among normalweight individuals. The model that we develop to reconcile these facts is based on a set point for body size that is adapted to (low) pre-modern food supply, but subsequently fails to adjust to rapid economic change. During the process of development, some individuals thus remain at their low-BMI set point, despite the increase in their income (food consumption), while others who have escaped their set point (but are not necessarily overweight) are at increased risk of diabetes. The model is tested along different dimensions with multiple data sets. Our analysis indicates that many lean diabetics in developing country populations will be close to their individual-specific set point, suggesting a promising approach to diabetes control (reversal) that involves relatively little weight loss.
This research examines the determinants of entrepreneurship in China’s transition from agriculture to domestic production in the 1990’s and the subsequent transition to exporting in the 2000’s. The model that we develop and test to describe these transitions incorporates a productivity enhancing role for community (birth county) networks, which emerge in response to market imperfections at early stages of economic development. Using administrative data covering the universe of registered firms over the 1994-2012 period and the universe of exporters over the 2002-2012 period, we provide causal evidence that these networks of firms were active and were effective at increasing the revenues of their members, both in domestic production and exporting. While this substantially increased the number of domestic producers in the first stage, the incumbent domestic networks created a disincentive to enter exporting in the second stage that dominated the positive effect of the export networks. Our analysis provides a novel characterization of the development process in which community-based networks emerge at each stage to facilitate the occupational mobility of their members, and pre-existing networks slow down the growth of the networks that follow.
We provide evidence of the role of community networks in emergence of Indian entrepreneurship in early stages of cotton and jute textile industries in the late 19th and early 20th century respectively, overcoming lack of market institutions and government support. From business registers, we construct a yearly panel dataset of entrepreneurs in these two industries. We find no evidence that entry was related to prior upstream trading experience or price shocks. Firm directors exhibited a high degree of clustering of entrepreneurs by community. Consistent with a model of network-based dynamics, the stock of incumbent entrepreneurs of different communities diverged non-linearly, controlling for year and community fixed effects.
There are many economic environments in which an object is offered sequentially to prospective buyers. It is often observed that once the object for sale is turned down by one or more agents, those that follow do the same. One explanation that has been proposed for this phenomenon is that agents making choices further down the line rationally ignore their own assessment of the object’s quality and herd behind their predecessors. Our research adds a new dimension to the canonical herding model by allowing agents to di er in their ability to assess the quality of the offered object. We develop novel tests of herding based on this ability heterogeneity and also examine its efficiency consequences, applied to organ transplantation in the U.K. We nd that herding is common but that the information lost due to herding does not substantially increase false discards of good organs or false acceptances of bad organs. Our counter-factual analysis indicates that this is due (in part) to the high degree of heterogeneity in ability across transplant centers. In other settings, such as the U.S., where organ transplantation is organized very differently and the ability distribution will not be the same, the inefficiencies due to herding might well be substantial.
The frictions that restrict migration are among the largest sources of inefficiency in the global economy. The first step in designing policies to address these frictions is to understand the fundamental forces that drive migration. However, the Roy model—the workhorse model of migration in economics—does a poor job of explaining many important features of this phenomenon. This limitation can be rectified by adding migrant networks to the Roy model. A rich qualitative literature in the social sciences has documented the role played by social networks in supporting migrants in their new locations. Economists have advanced this literature by identifying and quantifying the contribution of these networks to migration. Although much progress has been made over the past two decades, important gaps in the literature remain: Migrant assimilation has received little theoretical or empirical attention, and a richer characterization of the social interactions that support these networks is needed to tie research on migration to the economic literature on networks.
Caste plays a role at every stage of an Indian's economic life, in school, university, the labor market, and into old age. The influence of caste extends beyond private economic activity into the public sphere, where caste politics determine access to public resources. The aggregate evidence indicates that there has been convergence in education, occupations, income, and access to public resources across caste groups in the decades after independence. Some of this convergence is likely due to affirmative action, but caste-based networks could also have played an equalizing role by exploiting the opportunities that became available in a globalizing economy. Ethnic networks were once active in many advanced economies but ceased to be salient once markets developed. With economic development, it is possible that caste networks will cease to be salient in India. The affirmative action programs may also be rolled back, and (statistical) discrimination in urban labor markets may come to an end if and when there is convergence across caste groups. In the interim period, however, it is important to understand the positive and negative consequences of caste involvement across a variety of spheres in the Indian economy.