F
Federico H. Gutierrez
Researcher at Vanderbilt University
Publications - 27
Citations - 311
Federico H. Gutierrez is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Wage & Fertility. The author has an hindex of 8, co-authored 27 publications receiving 291 citations. Previous affiliations of Federico H. Gutierrez include National University of La Plata.
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Growth and income poverty in latin america and the caribbean: evidence from household surveys
TL;DR: In this article, the authors provided evidence on growth and income poverty in Latin American and the Caribbean in the 1990s and early 2000s by processing microdata from household surveys of 18 LAC countries.
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Simulating Income Distribution Changes in Bolivia: a Microeconometric Approach
TL;DR: In this article, the authors used micro-econometric simulations to characterize the distributional changes occurred in the Bolivian economy in the period 1993-2002, and to assess the potential distributional impact of various alternative economic scenarios for the next decade.
Dinámica salarial y ocupacional: análisis de panel para Argentina 1998-2002
TL;DR: In el presente trabajo se estudia conjuntamente la estabilidad ocupacional and salarial in Argentina durante los anos 1998-2002 as mentioned in this paper, se analiza la forma en la cual las caracteristicas del trabajador impactan en la volatilidad salarial and en las probabilidades de perder o conseguir empleo.
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Trade and Labor Outcomes in Latin America's Rural Areas: A Cross-Household Surveys Approach
TL;DR: This paper explored the potential link between trade and labor outcomes in rural areas in Latin America by estimating cross household-survey regression models with microdata from 60 Latin American household surveys and country aggregate data.
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Difference‐in‐differences when the treatment status is observed in only one period
TL;DR: In this paper, the authors propose a new method that point-identifies the average treatment effect on the treated (ATT) via a difference-in-differences (DID) method when the data come from repeated cross-sections and the treatment status is observed either before or after the implementation of a program.