Dondena Seminar Series
Dondena Seminar Series
All seminars (and light lunches!) will begin at 12:45 p.m. and be held in Room 3-e4-sr03, unless otherwise noted.
Titles and abstracts will be posted as they become available.
Download the series poster here.
Seth Zimmerman, University of Chicago
Heterogeneous Beliefs and School Choice Mechanism
This paper studies how welfare outcomes in centralized school choice depend on the assignment mechanism when participants are not fully informed. Using a survey of school choice participants in a strategic setting, we show that beliefs about admissions chances differ from rational expectations values and predict choice behavior. To quantify the welfare costs of belief errors, we estimate a model of school choice that incorporates subjective beliefs. We evaluate the equilibrium effects of switching to a strategy-proof deferred acceptance algorithm, and of improving households' belief accuracy. Allowing for belief errors reverses the welfare comparison to favor the deferred acceptance algorithm.
Jenny Trini, University of Chicago
AIDS: An epidemic of uncertaintyThe AIDS epidemic in sub-Saharan Africa is now nearly 40 years old. After a long battle, the standard metrics have started to point to good news: new infections are down, prevalence has stabilized, life-saving anti-retrovirals are becoming widely available, and AIDS-related mortality has declined. Using panel data from Tsogolo la Thanzi study collected in Balaka, Malawi between 2009 and 2015, I argue that in the wake of pandemic AIDS, an epidemic of uncertainty persists. AIDS-related uncertainty, I argue, is measurable, pervasive, and impervious to biomedical solutions. In Malawi, the consequences of uncertainty are salient to multiple domains of life including relationship stability, fertility, health, and well-being. Even as HIV is transformed from a progressive, fatal infection to a chronic and manageable condition, the accompanying epidemic of uncertainty remains central to understanding the demographic future of this part of the world.
Dominik Hangartner, ETH Zurich, London School of Economics
Luigi Pascali, Pompeu Fabra University
Conventional theory holds that hierarchies and states emerged following the Neolithic transition to agriculture as a result of increased land productivity, and that differences in land productivity explain differences in hierarchies between regions. We challenge this theory and propose that social hierarchy emerged where the elite were able to appropriate crops from farmers. In particular, we argue that cereals are easier to appropriate than most other foodstuffs. Therefore, regional variations in the suitability of land for the cultivation of different crop types can account for differences in the formation of hierarchies and states. Our empirical investigation supports such a causal effect of the cultivation of cereals on hierarchy, without finding a similar effect for land productivity.
Ted Mouw, University of North Carolina
Using social networks to collect data on hidden or rare populations: challenges in field applications
There are many instances where researchers want to sample from populations where a sampling frame doesn't exist and where the population is rare enough that the use of screening questions is prohibitively expensive. At the same time, Respondent Driven Sampling--a popular method of sampling from hidden populations--is known to have high sampling variance compared to simple random sampling. Network Sampling with Memory (NSM) was designed as a way to improve the precision of network-based sampling by collecting partial name and demographic information on respondents' contacts, and then using that information to direct the sampling process to under-explored parts of the social network of the population. Using simulated sampling, NSM has dramatically lower design effects than other methods of network sampling. In this talk, we will discuss what we have learned from using NSM in practice, including an survey we are conducting this year of 600 Chinese immigrants living in the Raleigh-Durham area of North Carolina.
Patricia Funk, Università della Svizzera Italiana
Osea Giuntella, University of Pittsburgh
Immigrant Legalization, Health, and Health Care Use.
This paper studies the effects of the 2012 Deferred Action for Childhood Arrivals (DACA) initiative on health and demand for health care. We exploit a difference-in-differences that relies on the discontinuity in program eligibility. We find that DACA had no significant effects on physical health, but improved the mental health of eligible immigrants.There is no evidence of a significant impact on the demand for health care. We confirm previous evidence that DACA promoted economic opportunities for the undocumented immigrants. We find evidence that in California, where most of DACA-eligible individuals were also eligible for Medi-Cal, public insurance coverage increased, but there is no evidence of significant increases in health care use.
Diego Ramiro, CSIC Consejo Superior de Investigaciones Cientificas
Herman de Jong, University of Groningen
Zhenchao Qian, Brown University
Last updated 27 November 2017 - 15:48:23
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