BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Plone.org//NONSGML plone.app.event//EN
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VEVENT
SUMMARY:Naijia Guo (University of Hong Kong)
DTSTART;TZID=Europe/Berlin:20251022T120000
DTEND;TZID=Europe/Berlin:20251022T131500
DTSTAMP:20260911T060144Z
UID:be6fefbb264f462788a7141f9c467f2a@www.econ.uni-bonn.de
CREATED:20250820T082938Z
DESCRIPTION:This paper examines the impact of innovation on migration patt
 erns across skill groups\, taking into account labor market\, housing mark
 et and amenity responses. Utilizing data from the Chinese Census spanning 
 2005 to 2015\, we find that cities experiencing higher patent growth attra
 ct more low-skilled than high-skilled migrants\, a pattern that contrasts 
 with findings from other developed countries. These cities also exhibit st
 ronger wage growth for both low- and high-skilled workers\, but not faster
  growth in amenities. Our analysis indicates that low-skilled workers prio
 ritize wages more highly\, whereas high-skilled workers place greater valu
 e on amenities. As a result\, a positive shock to patent activity draws in
  more low-skilled than high-skilled workers\, leads to a reduction in amen
 ities\, and thereby further discourages high-skilled migration. Counterfac
 tual analysis suggests that technological growth in China has substantiall
 y increased wages and welfare for both groups of workers.
LAST-MODIFIED:20251027T083002Z
URL:https://www.econ.uni-bonn.de/macro/en/seminars/mef-seminar-winter-25-2
 6/naijia-guo-university-of-hong-kong
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
DTSTART:20250330T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR