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PRODID:-//AMSE//Event Calendar//FR
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UID:event-7858@www.amse-aixmarseille.fr
DTSTAMP:20260416T232600Z
CREATED:20260416T232600Z
LAST-MODIFIED:20260416T232600Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:phd seminar - Daniela Arlia
DTSTART:20210302T100000Z
DTEND:20210302T104500Z
DESCRIPTION:In this paper\, we present a new data set describing local rent
 al markets in Germany between the years 2011-2018\, based on Internet ads c
 ollected through web-scraping. We compare these data with other official so
 urces\, as the GSOEP and the BBSR Rent Index\, and we show that the web-scr
 aping data can be a reliable source of information on the housing markets. 
 We then exploit the richness of information in the ads to construct quality
 -adjusted rent indices using the hedonic approach and analyze the dynamics 
 of rents and their distribution both between and within local labor markets
 . Finally\, we build housing inequality indicators to study how this has ch
 anged. Despite the limited period of analysis\, we find that housing inequa
 lity has slightly increased and\, more interesting\, these increases are dr
 iven by changes in the relative values of locations within local labor mark
 ets.\\n\\nContact: Anushka Chawla : anushka.chawla[at]univ-amu.frKenza Elas
 s : kenza.elass[at]univ-amu.frCarolina Ulloa Suarez : carolina.ulloa-suarez
 [at]univ-amu.fr\n\nPlus d'informations: https://www.amse-aixmarseille.fr/fr
 /evenements/daniela-arlia-1
LOCATION:Îlot Bernard du Bois - Salle 21\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://www.amse-aixmarseille.fr/fr/evenements/daniela-arlia-1
CONTACT:Anushka Chawla : anushka.chawla[at]univ-amu.frKenza Elass : kenza.e
 lass[at]univ-amu.frCarolina Ulloa Suarez : carolina.ulloa-suarez[at]univ-am
 u.fr
TRANSP:OPAQUE
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