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UID:event-9456@amse-aixmarseille.fr
DTSTAMP:20260415T205345Z
CREATED:20260415T205345Z
LAST-MODIFIED:20260415T205345Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:phd seminar - Daniela Arlia*\, Elie Vidal-Naquet**
DTSTART:20230124T100000Z
DTEND:20230124T113000Z
DESCRIPTION:*Using a large listing dataset\, I empirically show that the ho
 using prices and rents evolved differently across and within sub-markets ov
 er nationwide housing cycles in Germany\, providing evidence of the segment
 ation of the housing markets. In particular\, I show two relevant empirical
  facts: 1) the price-to-rent ratio is highly heterogeneous across cities\; 
 2) the return differentials between different housing quality tiers are low
 er in big cities compared to the rest of the country. The first fact contra
 dicts the standard economic theory for which rental values should reflect t
 he discounted prices. The second fact shows that shifts in the housing pric
 e distributions are not always homothetic. In order to explain these facts\
 , I build up on the assignment model framework in which housing is segmente
 d by various quality tiers and demand-driven shocks could generate spillove
 rs both up and down\, depending for the composition of the demand and the s
 upply constraints of the local housing market. Combining the housing data w
 ith administrative panel data on the labor market\, I exploit the cross-sec
 tional variation in the exposure to technological change to build a quasi-e
 xperimental design for studying how demand-driven shocks that affect the lo
 cal skills composition induce changes in the prices of both high-end and lo
 w-end housings. I finally discuss the implications for the welfare conditio
 ns of different types of workers across and within locations. **We investi
 gate how firm market power affects the French labor market. We distinguish 
 between market power in product markets\, measured by markups\, and labor m
 arkets\, measured by markdowns. The former expresses the price to marginal 
 cost ratio\, and the latter is defined as the marginal revenue product of l
 abor over wages paid. To measure markups and markdowns on the firm level\, 
 we exploit exhaustive production data\, which we augment with employer-empl
 oyee data information over the period 1996-2020. We examine the impact of f
 irm market power on wages\, employment\, sorting\, and wage inequality. \\
 n\\nContact: Camille Hainnaux: camille.hainnaux[at]univ-amu.frDaniela Horta
  Saenz: daniela.horta-saenz[at]univ-amu.frJade Ponsard: jade.ponsard[at]un
 iv-amu.frNathan Vieira: nathan.vieira[at]univ-amu.fr\n\nPlus d'informations
 : https://amse-aixmarseille.fr/en/events/daniela-arlia-elie-vidal-naquet-0
LOCATION:Îlot Bernard du Bois - Amphithéâtre\, AMU - AMSE\, 5-9 boulevar
 d Maurice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://amse-aixmarseille.fr/en/events/daniela-arlia-elie-vidal-naquet-0
CONTACT:Camille Hainnaux: camille.hainnaux[at]univ-amu.frDaniela Horta Saen
 z: daniela.horta-saenz[at]univ-amu.frJade Ponsard:&nbsp\;jade.ponsard[at]un
 iv-amu.frNathan Vieira: nathan.vieira[at]univ-amu.fr
TRANSP:OPAQUE
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