Working Papers

Firms and Farms: The Impact of Agricultural Productivity on the Local Indian Economy

How do agricultural productivity shocks propagate through the local economy and affect firms? I combine firm, household and district-level data from India, and exploit weather-induced agricultural volatility, to estimate the response of manufacturing firms to changes in agricultural productivity. I show that negative agricultural productivity shocks reduce firm production and employment. This holds true even though the local wage decreases. The effect is driven by firms that produce locally-traded goods, suggesting that the decrease in local demand induced by lower incomes plays a key role. I then examine whether the introduction of a large-scale rural workfare program affects the response of the local economy to agricultural volatility. I show that the program acts as a stabilization policy and attenuates the pro-cyclical response of local wage, consumption, and firms’ outcomes to agricultural productivity shocks. The results highlight the importance of local rural demand for a large share of manufacturers and underscore how rural development policies that target households can strongly affect the industrial sector because of general equilibrium effects.

Structural Change and the Supply of Agricultural Workers, with Tommaso Porzio

What explains labor reallocation out of agriculture? We use data on agricultural employment by birth cohort to show that decreases in the supply of agricultural workers, due to younger cohorts having skills that are more valued out of agriculture, play a major role. First, we use micro data from 52 countries to decompose aggregate labor reallocation into year and cohort effects. Cohort effects accounts for more than half of overall reallocation. Then, we develop an overlapping generations model to provide an analytical and parsimonious map from the statistical objects, year and cohort effects, into the structural objects of interest, demand and supply of agricultural workers. The map is modulated by mobility frictions and general equilibrium, which we discipline with micro data. Filtering the data through the model, we conclude that one third of overall labor reallocation is due to changes in the supply of agricultural workers. Finally, we show that, both within and across countries, larger increases in schooling across cohorts are correlated with faster reallocation out of agriculture, suggesting that human capital determines the supply of agricultural workers. We provide further, and causal, evidence on the role of human capital by showing that a school construction program in Indonesia led to labor reallocation out of agriculture.

Work in Progress

Buy from Your Kin: Microenterprise Customer Base, Productivity and Market Power Currently in the field

This project studies whether social and kinship ties influence the productivity and market power of small businesses via their influence on business’ access to customers. In contexts where kinship identity matters, consumers may value social proximity to the business owner and be willing to trade off such proximity for other product attributes such as price and quality. This guarantees businesses from large social networks access to a large set of loyal customers, and thus puts them at an advantage relative to equally or more productive competitors that belong to smaller networks. A model of product differentiation à la Hotelling – in which physical distance to firms is replaced by social distance to firms’ owners – captures the mechanisms proposed and delivers testable predictions on the behavior of firms and consumers, as well as on market outcomes. I provide preliminary evidence in support of customer kinship loyalty using microenterprise and social network data from India. Existing data, however, lack information on customers and transactions, and hence limit the possibility to address questions related to market structure. A full test of my hypothesis will rely on a unique matched business-customer dataset that I collect for a sample of large Indian villages (currently in progress). The new data will also provide the basis for potential future interventions that vary the productivity of a subset of businesses and examine whether market shares reallocate in a pattern consistent with customer kinship loyalty.

Does Agricultural Volatility Change the Selection into Entrepreneurship?

A large fraction of households in low-income countries owns enterprises that are informal and very small. In this paper, I shed light on the motivations that drive households to participate in enterprise and study the role of agricultural volatility. I examine whether households resort to microenterprises as a response to agricultural income shocks, and assess the implications that this has on selection into entrepreneurship and business type. Using employment and firm data from India, and exploiting variation in agricultural incomes induced by seasonality and weather, I provide evidence for the following selection dynamics. First, I show that a decrease in agricultural productivity significantly raises the probability of running a microenterprise (extensive margin) as well as the time spent working in the enterprise (intensive margin). That is, engagement in enterprise behaves counter-cyclically. Second, and consistently with a selection mechanism based on entrepreneurial ability, I show that average ability among active entrepreneurs decreases when agricultural productivity is low, and that microenterprises that operate cyclically are different from their permanent counterparts across a number of dimensions, including size and profitability. Third, I find that most of the cyclical entry-exit takes place in services rather than manufacturing. This result suggests that households that operate businesses intermittently do so through activities that require lower start-up costs and fewer specific skills.

The Role of Trust in Healthcare: Evidence from Childbirth, with Nancy Qian — Draft coming soon

Medical procedures vary considerably across places, hospitals and physicians, and clinical and demographic factors alone are unable to fully explain this variation. In this study, we examine the role of a non-medical factor, patient-physician trust, in the choice of medical procedures. We focus on childbirth and the choice between natural deliveries and Cesarean sections. First, using GSS data, we document that individuals who trust others more (i.e., higher generalized trust) tend to have higher trust in physicians. Second, we show a strong negative relation between generalized trust and Cesarean Section rates across U.S. states and across countries. Third, we estimate the causal effect of trust by studying the delivery methods of second-generation American women. Using generalized trust in the woman’s country of origin as a source of variation for her level of trust, we show that low-trust mothers are more likely to deliver through a Cesarean section. Our results are robust to the inclusion of an extensive set of pregnancy and delivery risk factors, as well as controls that capture differences across women in socio-economic status, health care access and health care quality. We provide further evidence that trust is not capturing omitted health risk or disadvantaged background by performing a placebo exercise which shows that trust does not predict poor health outcomes such as low birth weight and pre-term birth. Our findings are consistent with a framework where asymmetric information on physician’s effort is coupled with differential returns to effort across procedures.