Artikel

The endogenous grid method for discrete-continuous dynamic choice models with (or without) taste shocks

We present a fast and accurate computational method for solving and estimating a class of dynamic programming models with discrete and continuous choice variables. The solution method we develop for structural estimation extends the en- dogenous grid-point method (EGM) to discrete-continuous (DC) problems. Discrete choices can lead to kinks in the value functions and discontinuities in the optimal policy rules, greatly complicating the solution of the model. We show how these problems are ameliorated in the presence of additive choice-specific independent and identically distributed extreme value taste shocks that are typically interpreted as 'unobserved state variables' in structural econometric applications, or serve as 'random noise' to smooth out kinks in the value functions in numerical applications. We present Monte Carlo experiments that demonstrate the reliability and efficiency of the DC-EGM algorithm and the associated maximum likelihood estimator for structural estimation of a life-cycle model of con- sumption with discrete retirement decisions.

Sprache
Englisch

Erschienen in
Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 8 ; Year: 2017 ; Issue: 2 ; Pages: 317-365 ; New Haven, CT: The Econometric Society

Klassifikation
Wirtschaft
Estimation: General
Computational Techniques; Simulation Modeling
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Thema
Life-cycle model
discrete and continuous choice
Bellman equation
Euler equation
retirement choice
endogenous grid-point method
nested fixed point algorithm
extreme value taste shocks
smoothed max function
structural estimation

Ereignis
Geistige Schöpfung
(wer)
Iskhakov, Fedor
Jørgensen, Thomas Høgholm
Rust, John
Schjerning, Bertel
Ereignis
Veröffentlichung
(wer)
The Econometric Society
(wo)
New Haven, CT
(wann)
2017

DOI
doi:10.3982/QE643
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

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.

Objekttyp

  • Artikel

Beteiligte

  • Iskhakov, Fedor
  • Jørgensen, Thomas Høgholm
  • Rust, John
  • Schjerning, Bertel
  • The Econometric Society

Entstanden

  • 2017

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