Our three new hires at George Mason economics

Nataliya Naumenko

Northwestern Ph.D, Brown post doc, Joel Mokyr student.  Here is her job market paper:

Job Market Paper

The Political Economy of Famine: the Ukrainian Famine of 1933 Download Job Market Paper (pdf)

Abstract: The famine of 1932–1933 in Ukraine killed as many as 2.6 million people out of a population of approximately 30 million. Three main explanations have been offered: negative weather shock, poor economic policies, and genocide. This paper uses variation in exposure to poor government policies and in ethnic composition within Ukraine to study the impact of policies on mortality, and the relationship between ethnic composition and mortality. It documents that (1) the data do not support the negative weather shock explanation: 1931 and 1932 weather predicts harvest roughly equal to the 1925 — 1929 average; (2) bad government policies (collectivization and the lack of favored industries) significantly increased mortality; (3) collectivization increased mortality due to drop in production on collective farms and not due to overextraction from collectives (although the evidence is indirect); (4) back-of-the-envelope calculations show that collectivization explains at least 31\% of excess deaths; (5) ethnic Ukrainians seem more likely to die, even after controlling for exposure to poor Soviet economic policies; (6) Ukrainians were more exposed to policies that later led to mortality (collectivization and the lack of favored industries); (7) enforcement of government policies did not vary with ethnic composition (e.g., there is no evidence that collectivization was enforced more harshly on Ukrainians). These results provide several important takeaways. Most importantly, the evidence is consistent with both sides of the debate (economic policies vs genocide). (1) backs those arguing that the famine was man-made. (2) — (4) support those who argue that mortality was due to bad policy. (5) is consistent with those who argue that ethnic Ukrainians were targeted. For (6) and (7) to support genocide, it has to be the case that Stalin had the foresight that his policies would fail and lead to famine mortality years after they were introduced (and therefore disproportionately exposed Ukrainians to them).

Jonathan Schulz

Cultural economics and economic history, St. Gallen Ph.D, Harvard post doc, co-author with Joe Henrich.

Job market paper, “Catholic Church, Kin Networks, and Institutional Development“:

Political institutions vary widely around the world, yet the origin of this variation is not well understood. This study tests the hypothesis that the Catholic Church’s medieval marriage policies dissolved extended kin networks and thereby fostered inclusive institutions. In a difference-in-difference setting, I demonstrate that exposure to the Church predicts the formation of inclusive, self-governed commune cities before the year 1500CE. Moreover, within medieval Christian Europe, stricter regional and temporal cousin marriage prohibitions are likewise positively associated with communes. Strengthening this finding, I show that longer Church exposure predicts lower cousin marriage rates; in turn, lower cousin marriage rates predict higher civicness and more inclusive institutions today. These associations hold at the regional, ethnicity and country level. Twentieth-century cousin marriage rates explain more than 50 percent of variation in democracy across countries today.

Jonathan P. Beauchamp

Harvard Ph.D, assistant professor of economics at University of Toronto, he works in the new field genonomics and has co-authored with David Cesarini.  Here is his presentation on GWAS of risk tolerance:

Here is his paper (with co-authors) “Genome-wide association analyses of risk tolerance and risky behaviors in over one million individuals identify hundreds of loci and shared genetic influences.”

I am very much looking forward to their arrival, they all seem like great colleagues, and I am honored to have played a role on the recruiting committee.

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