BAYESIAN-ANALYSIS OF LOGIT-MODELS USING NATURAL CONJUGATE PRIORS

被引：23

作者：

KOOP, G ^{[1
]}

POIRIER, DJ ^{[1
]}

机构：

[1] UNIV TORONTO,TORONTO M5S 1A1,ONTARIO,CANADA

来源：

JOURNAL OF ECONOMETRICS | 1993年 / 56卷 / 03期

关键词：

D O I：

10.1016/0304-4076(93)90124-N

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This study provides a Bayesian investigation of conditional logit and multinomial logit models based on a conjugate prior which has many appealing computational properties. A one-parameter 'neutral' prior is developed which concentrates prior mass over the region corresponding to equiprobable alternatives. This prior is particularly attractive in sensitivity analysis. An empirical example of occupational choice illustrates the proposed techniques.

引用

页码：323 / 340

页数：18

共 12 条

[1]

BEGGS S, 1981, J ECONOMETRICS, V16, P1

[2] BAYESIAN-INFERENCE IN ECONOMETRIC-MODELS USING MONTE-CARLO INTEGRATION [J].