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SUMMARY:Alexander Monge-Naranjo (EUI)
DTSTART;TZID=Europe/Berlin:20250528T121500
DTEND;TZID=Europe/Berlin:20250528T133000
DTSTAMP:20260411T122915Z
UID:27e73293ead24d0eab461bd369230f0e@www.econ.uni-bonn.de
CREATED:20250226T102145Z
DESCRIPTION:We revisit the role of human capital in explaining the cross-c
 ountry variation in GDP. We propose a general-equilibrium model in which w
 orkers of different human- capital groups (education and experience) sort 
 across broad occupational categories. We map the model to a unique harmoni
 zed micro dataset that allows to measure average wages by human capital an
 d occupation for 50 countries that span the entire development spectrum. T
 he calibration reveals that rich countries have particularly high producti
 vity in more complex\, white-collar occupations. The composition and quali
 ty of human capital explain half of the cross-country non agricultural GDP
  per-worker gap relative to the US. For the poorest quintile of countries\
 , a shift to US human capital would double non-agricultural GDP and the wh
 ite-collar employment rate. We also find that occupational distortions are
  more pronounced in poor countries. They depress white-collar employment a
 nd contribute to a high white-collar wage premium.
LAST-MODIFIED:20250521T084906Z
URL:https://www.econ.uni-bonn.de/macro/en/seminars/mef-seminar-summer-2025
 /alexander-monge-naranjo-eui
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