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UID:event-12740@amse-aixmarseille.fr
DTSTAMP:20260414T002404Z
CREATED:20260414T002404Z
LAST-MODIFIED:20260414T002404Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:amse seminar - Aureo de Paula
DTSTART:20260309T103000Z
DTEND:20260309T114500Z
DESCRIPTION:Standard methods for estimating production functions in the Oll
 ey and Pakes (1996) tradition require assumptions on input choices. We intr
 oduce a new method that exploits (increasingly available) data on a firm's 
 expectations of its future output and inputs that allows us to obtain consi
 stent production function parameter estimates while relaxing these input de
 mand assumptions. In contrast to dynamic panel methods\, our proposed estim
 ator can be implemented on very short panels (including a single cross-sect
 ion)\, and Monte Carlo simulations show it outperforms alternative estimato
 rs when firms' material input choices are subject to optimization error. Im
 plementing a range of production function estimators on UK data\, we find o
 ur proposed estimator yields results that are either similar to or more cre
 dible than commonly-used alternatives. These differences are larger in indu
 stries where material inputs appear harder to optimize. We show that TFP im
 plied by our proposed estimator is more strongly associated with future job
 s growth than existing methods\, suggesting that failing to adequately acco
 unt for input endogeneity may underestimate the degree of dynamic reallocat
 ion in the economy.\\n\\nContact: Ségal Le Guern Herry : segal.le-guern-h
 erry[at]univ-amu.frMorgan Raux : morgan.raux[at]univ-amu.fr\n\nPlus d'info
 rmations: https://amse-aixmarseille.fr/fr/evenements/aureo-de-paula
LOCATION:Îlot Bernard du Bois - Amphithéâtre\, AMU - AMSE\, 5-9 boulevar
 d Maurice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://amse-aixmarseille.fr/fr/evenements/aureo-de-paula
CONTACT:Ségal Le Guern Herry :&nbsp\;segal.le-guern-herry[at]univ-amu.frMo
 rgan Raux :&nbsp\;morgan.raux[at]univ-amu.fr
TRANSP:OPAQUE
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