GUNNAR HEINS https://sites.google.com/site/gunnarheins/
[email protected] 352-392-0113 Contact Information: University of Florida College of Liberal Arts and Sciences, Department of Economics PO Box 117140, 320 MAT Gainesville, Florida 32611 Personal Information: Date of birth: 09/05/1984 Citizenship: German Academic Positions 2016- : University of Florida, Assistant Professor, Department of Economics 2017- : Research Associate, Robert F. Lanzillotti Public Policy Research Center (PPRC) Education: Ph.D. in Economics, University of Chicago, 2016 Thesis Title: Essays in International Trade M.A. in Economics, University of Chicago, 2015 Diplom in Economics, University of Cologne, 2010 Teaching Experience: International Trade, University of Florida, 2017 (Evaluation: 4.88/5) Best Empirical Practices, University of Florida, 2017 (4.78/5) Practical Computing in Economics, University of Florida, 2016 (4.86/5) Elements of Economic Analysis 4, University of Chicago, 2014 Elements of Economic Analysis 4 (TA), University of Chicago, 2013 Pay and Performance (TA), University of Chicago, 2013 Elements of Economic Analysis 1 (TA), University of Chicago, 2011 & 2012 Descriptive and Economic Statistics (TA), University of Cologne, 2009 Honors, Scholarships, and Fellowships: 2015: Outstanding Graduate Lecturer for Macroeconomics Award 1
2010-2015: University of Chicago Social Sciences Fellowship 2015-2016: The Reid Fellowship 2010: Nomination: David-Kopf Prize for best Diploma-/ Master-Thesis in Germany 2008: DAAD Foreign Exchange Fellowship Academic Activities: Conference Presentations and Seminars 2016: Purdue University, Rice University, Universidad Carlos III de Madrid, BI Norwegian Business School, University of Oslo, Einaudi Institute for Economics and Finance, University of Florida 2017: SEA Annual Meeting Refereeing: Journal of International Economics, Economic Journal Working Papers: Endogenous Vertical Differentiation, Variety, and the Unequal Gains from Trade How unequal are the gains from trade? In this paper, I argue that the answer depends crucially on how much exporters vertically differentiate in response to foreign competition and study the consequences of international trade on welfare of consumers across the income distribution under endogenous vertical differentiation on the supply side. I develop a structural model in which consumer demand for higher-quality goods is non-homothetic in income and firms endogenously choose the quality of their products. The model can be brought to the data using random coefficients demand estimation techniques and I infer demand and supply parameters for 7,000 highly disaggregated products. I find that competition and market structure strongly influence the quality decisions of firms and therefore affect the measured income elasticity of the products they produce. International trade reduces inequality in consumer welfare, but the effect is overstated by about one third when supply side responses are not taken into account. Trade Shocks and Attentive Voting: Evidence from U.S. Local Labor Markets Do voters respond to trade shocks? And can legislators influence voter responses through their standpoints on free trade? In this paper I address these questions using the rise of China as a natural experiment that created substantial geographic variation in the U.S. regarding exposure to trade shocks. I find that voters do respond to incumbents’ ideology, with mod2
erate congressmen being punished and extreme ones actually benefiting from adverse labor market shocks induced by offshoring. Chinese import competition had similar effects but with incumbents being generally punished. Incumbent presidents lose votes in both the 1990s and 2000s and to a larger extent than congressmen, consistent with presidents being viewed as rather moderate and trade policy being rather a national than local matter. I also find a general shift to the left in areas that experienced trade shocks, but whether or not these affect vote shares or ideology scores depends significantly on the type of trade shock. An Rcpp Code for the Estimation of Discrete Choice Random Coefficients Models of Consumer Demand In this paper, I provide a code for the estimation of discrete choice random coefficients models written in Rcpp, using only freely available open source software. The code is particularly designed for applications in which demand for a large number of products needs to be simultaneously estimated. Using C++ instead of R for certain parts results in substantial speed gains, especially when evaluating Jacobian and Hessian matrices during optimization. References: Ralph Ossa University of Chicago Booth 773-702-8907
[email protected]
Ali Hortacsu University of Chicago 773-834-1482
[email protected]
Felix Tintelnot University of Chicago 773-702-4862
[email protected]
Jonathan Dingel University of Chicago Booth 773-834-5458
[email protected]
3