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UID:9e28153b5fed82972962fb1cd5894e53
CATEGORIES:Seminars
CREATED:20180620T152726
SUMMARY:Lunch Seminar: Eleonora Patacchini - Cornell University, EIEF
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:<p><strong><span style="color: black; background: none repeat scroll 0% 0% 
 white;">Information, Mobile Communication Patterns and Social Referrals </s
 pan></strong><span style="color: black; background: none repeat scroll 0% 0
 % white;">(joint with Panle Jia Barwick)</span></p><p style="text-align: ju
 stify;"><strong><span style="color: black;">Abstract:</span></strong><span 
 style="color: black;"><br /> </span><span style="color: black; background: 
 none repeat scroll 0% 0% white;">Tracking daily movements of more than 3 mi
 llion individuals in one major Chinese city over one year using wireless vo
 ice calls, text messages, and data usage, we relate social ties and jobs to
  worker mobility patterns. Consistent with the literature, we find that one
  out of four jobs are based on referrals. Referral information is more effe
 ctive for young workers, people switching jobs from outside the city to the
  inner city, and those who change industrial sector. The referral effect is
  stronger for females and migrants. Referred jobs are associated with highe
 r wages, a higher likelihood to transition from part-time to full-time and 
 reduced commuting time, suggesting higher amenity benefits. Firms receiving
  referrals are more likely to have successful recruits, higher retention ra
 tes, and faster growth. Our analysis suggests that referrals improve labor 
 market efficiency by providing better matches between workers and vacancies
 , and labor market inequality by allowing groups traditionally discriminate
 d against to enter in better jobs.</span></p><p><span style="font-size: 11p
 t; font-family: 'Calibri','sans-serif'; color: black; background: none repe
 at scroll 0% 0% white;"></span></p>
DTSTAMP:20260406T084347Z
DTSTART:20180712T130000Z
DTEND:20180712T140000Z
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