Sanford School of Public Policy
194 Rubenstein Hall
302 Towerview Drive
Durham, NC 27708
Institutional Affiliation: Duke University
NBER Working Papers and Publications
|November 2019||Decision-Making in Complex Households|
with Duncan Thomas: w26511
Extremely rich data on farm households in Burkina Faso are used to test whether resource are allocated Pareto efficiently. The complexity of household structures, including multi-generation and polygynous households, is taken into account to developing tests from theoretical models of behavior. Credible measures of bargaining power are constructed exploiting the fact that individuals within a household have well-defined property rights over the plots they own. Using data on consumption choices, we establish that in farm households headed by a monogamous couple (with no co-resident adult sons), resource allocations are consistent with efficiency. In more complex household structures, including polygynous households, efficiency in allocations is not rejected in models that allow more than tw...
|December 2016||Agricultural Fires and Infant Health|
with Tom Vogl: w22955
Fire has long served as a tool in agriculture, but this practice's human capital consequences have proved difficult to study. Drawing on data from satellites, air monitors, and vital records, we study how smoke from sugarcane harvest fires affects infant health in the Brazilian state that produces one-fifth of the world's sugarcane. Because fires track economic activity, we exploit wind for identification, finding that late-pregnancy exposure to upwind fires decreases birth weight, gestational length, and in utero survival, but not early neonatal survival. Other fires positively predict health, highlighting the importance of disentangling pollution from economic activities that drive it.
|May 2009||Family Networks and School Enrolment: Evidence from a Randomized Social Experiment|
with Manuela Angelucci, Giacomo De Giorgi, Imran Rasul: w14949
We present evidence on whether and how a household's behavior is influenced by the presence and characteristics of its extended family. Using household panel data from the Progresa program in rural Mexico, we exploit information on the paternal and maternal surnames of heads and spouses in conjunction with the Spanish naming convention to identify the inter and intra generational family links of each household to others in the same village. We then exploit the randomized research design of the Progresa evaluation data to identify whether the treatment effects of Progresa transfers on secondary school enrolment vary according to the presence and characteristics of extended family. We find that Progresa only raises secondary enrolment among households that are embedded in a family network. E...
Published: Angelucci, Manuela & De Giorgi, Giacomo & Rangel, Marcos A. & Rasul, Imran, 2010.
"Family networks and school enrolment: Evidence from a randomized social experiment,"
Journal of Public Economics,
Elsevier, vol. 94(3-4), pages 197-221, April.
citation courtesy of