Arbeitspapier
Estimation of threshold distributions for market participation
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: LEM Working Paper Series ; No. 2020/09
Klassifikation
Wirtschaft
Econometric and Statistical Methods: Special Topics: General
Microeconomic Behavior: Underlying Principles
Empirical Studies of Trade
Econometric and Statistical Methods: Special Topics: General
Microeconomic Behavior: Underlying Principles
Empirical Studies of Trade
Thema
Parametric Distributions of Thresholds
Maximum Likelihood Estimation
Fixed Costs
Export Decision
Maximum Likelihood Estimation
Fixed Costs
Export Decision
Ereignis
Geistige Schöpfung
(wer)
Guerini, Mattia
Musso, Patrick
Nesta, Lionel
Musso, Patrick
Nesta, Lionel
Ereignis
Veröffentlichung
(wer)
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)
(wo)
Pisa
(wann)
2020
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:25 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Guerini, Mattia
- Musso, Patrick
- Nesta, Lionel
- Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)
Entstanden
- 2020
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