apply Bayesian procedures as a numerical tool for the estimation of a female labor supply model based on a sample size which … Bayesian procedures can be a beneficial tool for the estimation of dynamic discrete choice models. …

parameters are defined and identified to address specific policy problems. Economists embrace a scientific approach to causality …. Anticipated and realized subjective and objective outcomes are distinguished. Models for simultaneous causality are developed. The … paper contrasts the Neyman-Rubin model of causality with the econometric approach. …

commuters equal to 40 per cent, and the local average treatment effects for compliers are insignificant. In addition, estimation …

analyzes causality from health to wealth (health causation) and from wealth to health (wealth or social causation) for elderly … recently developed strategy using Granger causality tests of Adams et al. (2003, Journal of Econometrics) with tests for … causality in dynamic panel data models incorporating unobserved heterogeneity. While Adams et al. tests reject the hypothesis of …

Estimation of average treatment effects under unconfoundedness or exogenous treatment assignment is often hampered by …

effectively control for the two-way causality between work and health and the existence of unobserved individual characteristics …

emergence of systematic policy evaluation, with its distinct focus on the establishment of causality. By contrast to the natural …

commuting time has any effect on worker's labour market supply. Using the Spanish Time Use Survey 2002-03, our GMM/IV estimation …