Showing 1 - 10 of 1,670
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. …
Persistent link: https://www.econbiz.de/10010282308
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 …
Persistent link: https://www.econbiz.de/10010262057
effects is based on a selection-on-observables assumption, non-causality amounts to the conditional independence of outcomes … a time series setting. This leads to a generalized definition of Sims (1980) causality. A technical contribution is the … dependent data and allowing for first-step estimation of the propensity score. …
Persistent link: https://www.econbiz.de/10010270625
This paper describes a semiparametric Bayesian method for analyzing duration data. The proposed estimator specifies a complete functional form for duration spells, but allows flexibility by introducing an individual heterogeneity term, which follows a Dirichlet mixture distribution. I show how...
Persistent link: https://www.econbiz.de/10010276176
variable (IV) estimation. We show that tests for treatment effects, selection bias, and treatment effect heterogeneity are …
Persistent link: https://www.econbiz.de/10010269608
Researchers are often interested in estimating the causal effect of some treatment on individual criminality. For example, two recent relatively prominent papers have attempted to estimate the respective direct effects of marriage and gang participation on individual criminal activity. One...
Persistent link: https://www.econbiz.de/10010271337
Haavelmo's seminal 1943 paper is the first rigorous treatment of causality. In it, he distinguished the definition of … Acyclic Graphs (DAG) used in one influential recent approach to causality (Pearl, 2000) and in the related literature on … Pearl in securing identification of economic models. We extend our framework to consider models for simultaneous causality …
Persistent link: https://www.econbiz.de/10010329149
Many empirical questions in economics and other social sciences depend on causal effects of programs or policies. In the last two decades much research has been done on the econometric and statistical analysis of the effects of such programs or treatments. This recent theoretical literature has...
Persistent link: https://www.econbiz.de/10010268788
effectively control for the two-way causality between work and health and the existence of unobserved individual characteristics …
Persistent link: https://www.econbiz.de/10010269750
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. …
Persistent link: https://www.econbiz.de/10010274247