A mean squared error estimator of market size in hedonic price analysis
This paper presents a spatial kernel estimator that allows coefficients and market size to be estimated at the observation of interest. In economic terms, the bandwidth length of the spatial kernel estimator captures the size of the market incorporated in estimation at the location of interest and t...
- Autores:
-
Sarmiento, Camilo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2005
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/2848
- Acceso en línea:
- https://repositorio.escuelaing.edu.co/handle/001/2848
https://repositorio.escuelaing.edu.co/
- Palabra clave:
- Modelos econométricos
Variables instrumentales (estadística)
Función de densidad de kernel
Econometric models
Instrumental variables (statistics)
Kernel density function
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
| Summary: | This paper presents a spatial kernel estimator that allows coefficients and market size to be estimated at the observation of interest. In economic terms, the bandwidth length of the spatial kernel estimator captures the size of the market incorporated in estimation at the location of interest and this optimal size of the market included in regression minimizes mean square error (MSE). |
|---|