دورية أكاديمية

Maximum likelihood estimation of an across-regime correlation parameter

التفاصيل البيبلوغرافية
العنوان: Maximum likelihood estimation of an across-regime correlation parameter
المؤلفون: Giorgio Calzolari, Maria Gabriella Campolo, Antonino Di Pino, Laura Magazzini
المصدر: StataCorp LP, Stata Journal. 21(2):430-461
سنة النشر: 2021
الوصف: In this article, we describe the mlcar command, which implements a maximum likelihood method to simultaneously estimate the regression coefficients of a two-regime endogenous switching model and the coefficient measuring the correlation of outcomes between the two regimes. This coefficient, known as the “across-regime” correlation parameter, is generally unidentified in the traditional estimation procedures.
نوع الوثيقة: redif-article
اللغة: English
DOI: 10.1177/1536867X211025834
الإتاحة: https://ideas.repec.org/a/tsj/stataj/v21y2021i2p430-461.html
رقم الأكسشن: edsrep.a.tsj.stataj.v21y2021i2p430.461
قاعدة البيانات: RePEc
الوصف
DOI:10.1177/1536867X211025834