2020/09 | LEM Working Paper Series | ||||||||||||||||
Estimation of Threshold Distributions for Market Participation |
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Mattia Guerini, Patrick Musso and Lionel Nesta |
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Keywords | |||||||||||||||||
Parametric Distributions of Thresholds; Maximum Likelihood Estimation; Fixed Costs; Export Decision.
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JEL Classifications | |||||||||||||||||
C40, D01, F14
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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.
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