A Bivariate Ordered Probit Estimator with Mixed Effects

In this paper, we discuss the derivation and application of a bivariate ordered probit modelwith mixed effects. Our approach allows one to estimate the distribution of the effect (gamma) of anendogenous ordered variable on an ordered explanatory variable. By allowing gamma to vary over thepopulation, our estimator offers a more flexible parametric setting to recover the causal effect of anendogenous variable in an ordered choice setting.[...]

MoreLess

Year of publication:	2009
Authors:	Buscha, Franz ; Conte, Anna
Institutions:	Max-Planck-Institut für Ökonomik <Jena> / Abteilung Strategische Interaktion
Subject:	Monte-Carlo-Simulation \| Maximum-Likelihood-Schätzung \| Abwesenheit \| truancy \| Probit-Modell \| probit models

freely available

Full text |

More access options

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

I need help

Extent:	629760 bytes 23 p. application/pdf
Series:	Max-Planck-Institut für Ökonomik Jena - Abteilung Strategische Interaktion - Papers Jena Economic Research Papers ; 2009 - 103
Type of publication:	Book / Working Paper
Language:	English
ISSN:	1864-7057
Classification:	C35 - Discrete Regression and Qualitative Choice Models ; C51 - Model Construction and Estimation ; I20 - Education. General ; Subject matter and research method of business administration ; Operations Research. General ; Simulation methods ; Individual Working Papers, Preprints ; No country specification
Source:	USB Cologne (business full texts)

Persistent link: https://www.econbiz.de/10005870967