NBER

Hakan Yilmazkuday

Department of Economics
Florida International University
Miami, FL 33199

E-Mail: EmailAddress: hidden: you can email any NBER-related person as first underscore last at nber dot org
Institutional Affiliation: Florida International University

NBER Working Papers and Publications

February 2020Gains from Trade: Does Sectoral Heterogeneity Matter?
with Rahul Giri, Kei-Mu Yi: w26741
This paper assesses the quantitative importance of including sectoral heterogeneity in computing the gains from trade. Our framework draws from Caliendo and Parro (2015) and has sectoral heterogeneity along five dimensions, including the elasticity of trade to trade costs. We estimate the sectoral trade elasticity with the Simonovska and Waugh (2014) simulated method of moments estimator and micro price data. Our estimates range from 2.97 to 8.94. Our benchmark model is calibrated to 21 OECD countries and 20 sectors. We remove one or two sources of sectoral heterogeneity at a time, and compare the gains from trade to the benchmark model. We also compare an aggregate model with a single elasticity to the benchmark model. Our main result from these counterfactual exercises is that sectoral h...
July 2019Early 20th Century American Exceptionalism: Production, Trade and Diffusion of the Automobile
with Dong Cheng, Mario J. Crucini, Hyunseung Oh: w26121
The beginning of the twentieth century provides a unique opportunity to explore the interaction of rapid technological progress and trade barriers in shaping the worldwide diffusion of a new, highly traded good: the automobile. We scrape historical data on the quantity and value of passenger vehicles exported from the United States to other destination countries, annually from 1913 to 1940. We model the rise of US automobile from global obscurity toward a level dependent upon the extent of long-run pass-through of US prices into destination markets and destination GDP per capita. The results based on a diffusion model with CES preferences and non-unitary income elasticity shows that 62% of the gap in diffusion levels between the U.S. and the rest of the world is due to price frictions such...
February 2013Understanding Long-run Price Dispersion
with Mario J. Crucini: w18811
We use a unique panel of retail prices spanning 123 cities in 79 countries from 1990 to 2005, to uncover six novel properties of long-run international price dispersion. First, at the PPP level, virtually all (91.6%) of price dispersion is attributed to service-sector wages, consistent with a dominant role of the retail distribution margin. Second, at the level of individual goods and services, the average contribution of service-sector wages is significantly reduced, one-third as large (31.9%). This reflects the fact that good-specific sources of price dispersion, such as trade costs and good-specific markups, tend to average out across goods. Third, at the LOP level, borders and distance contribute about equally to price dispersion with distance elasticities consistent with the existing ...

Published: Crucini, Mario J. & Yilmazkuday, Hakan, 2014. "Understanding long-run price dispersion," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 226-240. citation courtesy of

April 2009A Model of International Cities: Implications for Real Exchange Rates
with Mario J. Crucini: w14834
We develop a model of cities each inhabited by two agents, one specializing in manufacturing, the other in distribution. The distribution sector represents the physical transformation of all internationally traded goods from the factory gate to the final consumer. Using a panel of micro-prices at the city level, we decompose the long-run variance of LOP deviations into the fraction due to distribution costs, trade costs and a residual. For the median good, trade costs account for 50 percent of the variance, distribution costs account for 10 percent with 40 percent of the variance unexplained. Since the sample of items in the data are heavily skewed toward traded goods, we also decompose the variance based on the median good on an expenditure-weighted basis. Now the tables turn, with distri...

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