We study differences in life-cycle labor supply among white, black, and Hispanic women, focusing on the interaction between race/ethnicity, education, and fertility. We use panel data that capture women's labor market and fertility histories and an econometric model that accounts for the...

In this paper we investigate whether the communication bias of the Bank of Mexico provides information that helps to anticipate the course of monetary policy in subsequent periods. We first construct an objective index of the communication bias, based upon an statistical analysis of key terms...

The number of single person households has dramatically increased in Taiwan in the past several decades as it has elsewhere in the world, but this phenomenon has been largely neglected in the literature. This research explores the factors that affect the formation of single person households and...

El presente documento busca de manera indicativa explicitar algunos elementos conceptuales y prácticos para construir el problema acerca del tema, pues la diversidad de ángulos desde donde se lo aborda da la impresión de que el problema mismo no está conceptualizado de manera homogénea. En...

Using data for the third wave from the European Social Survey (ESS) and the Fourth Korean National Health and Nutrition Examination Survey (K-NHANES), this research examines the relationship between having children at home and depression among men and women aged 18-75 years. Multilevel and...

A multivariate binary choice model is used to examine the climate effects on cattle breed selection across Texas counties. Angus, Brangus, and Brahman are considered in the model. Results suggest that it is more efficient to estimate the binary choice equations jointly than separately. Counties...

We show how to quickly estimate spatial probit models for large data sets using maximum likelihood. Like Beron and Vijverberg (2004), we use the GHK (Geweke-Hajivassiliou-Keene) algorithm to perform maximum simulated likelihood estimation. However, using the GHK for large sample sizes has been...