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Estimation of Threshold Distributions for Market Participation

Mattia Guerini, Patrick Musso and Lionel Nesta ()
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Patrick Musso: Université Côte d’Azur, CNRS, GREDEG

No 2020-15, Documents de Travail de l'OFCE from Observatoire Francais des Conjonctures Economiques (OFCE)

Abstract: We develop a new method to estimate the parameters of threshold distributions for market participation based upon an agent-specific attribute and its decision outcome. This method requires few behavioral assumptions, is not data demanding, and can adapt to various parametric distributions. Monte Carlo simulations show that the algorithm successfully recovers three different parametric distributions and is resilient to assumption violations. An application to export decisions by French firms shows that threshold distributions are generally right-skewed. We then reveal the asymmetric effects of past policies over different quantiles of the threshold distributions.

Keywords: Parametric Distributions of Thresholds; Maximum Likelihood Estimation; Fixed Costs; Export Decision. (search for similar items in EconPapers)
JEL-codes: C40 D01 F14 (search for similar items in EconPapers)
Date: 2020-05
New Economics Papers: this item is included in nep-ore
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Related works:
Working Paper: Estimation of Threshold Distributions for Market Participation (2020) Downloads
Working Paper: Estimation of threshold distributions for market participation (2020) Downloads
Working Paper: Estimation Of Threshold Distributions For Market Participation (2020) Downloads
Working Paper: Estimation of Threshold Distributions for Market Participation (2020) Downloads
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