F
Francisco J. Buera
Researcher at Washington University in St. Louis
Publications - 85
Citations - 5112
Francisco J. Buera is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Total factor productivity & Credit crunch. The author has an hindex of 31, co-authored 85 publications receiving 4435 citations. Previous affiliations of Francisco J. Buera include University of Chicago & National Bureau of Economic Research.
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Finance and Development: A Tale of Two Sectors †
TL;DR: This article developed a model co-determining aggregate total factor productivity (TFP), sectoral TFP, and scales across industrial sectors and found that financial frictions disproportionately affect TFP in tradable sectors where production requires larger costs.
Posted Content
The Rise of the Service Economy
TL;DR: The authors analyzes the role of specialized high-skilled labor in the growth of the service sector as a share of the total economy and finds that the growth has been driven by the consumption of services rather than being driven by low-skill jobs.
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Financial Frictions and the Persistence of History: A Quantitative Exploration
Francisco J. Buera,Yongseok Shin +1 more
TL;DR: In this paper, the authors quantitatively analyze the role of financial frictions and resource misallocation in explaining development dynamics, and show that the model economy with financial Frictions converges to the new steady state slowly after a reform triggers efficient reallocation of resources; the transition speed is half that of the conventional neoclassical model.
Journal ArticleDOI
The Rise of the Service Economy
TL;DR: The authors analyzes the role of specialized high-skilled labor in the growth of the service sector as a share of the total economy and finds that the growth has been driven by the consumption of services rather than being driven by low-skill jobs.
Journal ArticleDOI
Can traditional theories of structural change fit the data
TL;DR: In this article, two traditional explanations for structural changes are sector-biased technological progress and non-homothetic preferences and they are integrated into an otherwise standard growth model and quantitatively evaluated them vis-a-vis time series.