Exact Structural Inference in Optimal Job-Search Models
Datos Bibliográficos
| ID | 19419002 |
|---|---|
| Autores | Tony Lancaster (0000-0002-1534-7547, Brown University, autor de correspondencia) |
| Año | 1997 |
| Volumen | 15 |
| Número | 2 |
| Páginas | 165-179 |
| Fecha de publicación | 1997-04-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Journal of Business and Economic Statistics (JOURNAL) |
| Identificadores de la revista | ISSN: 0735-0015 • E-ISSN: 1537-2707 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/07350015.1997.10524698 |
| OpenAlex | W1993485516 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 13 |
This paper is a study of the exact posterior distributions of parameters in a stationary optimal job search model. The author exploits the simple latent structure of the search model when all job offers are observed to stimulate posterior distributions of structural parameters when the latent structure is imperfectly observed. These simulations enable him to show the unusual shape of the job search likelihood when the data are durations and accepted wages. The author also develops an algorithm to resample simulated posterior distributions in order to impose on the model the implications of fully optimal search. The methods are illustrated using simulated data
Econometrics · Economics · Inference · Mathematical optimization · Computer Science · Consumer Market Behavior and Pricing · Game Theory and Applications · Mathematics · Optimization and Search Problems · Artificial Intelligence
| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 0,07 |
| Intervalo de citas | 1998 - 2008 (11) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |