-
Comment on ‘Jointness of growth determinants’ by Gernot Doppelhofer and Melvy...
Doppelhofer and Weeks (2009) present a statistic designed to indicate the probability that pairs of regressors appear together or individually in a Bayesian model averaged... -
Is labour market training a curse for the unemployed? Evidence from a social ...
In 1994 a social experiment was conducted in Denmark, where unemployed applicants for classroom training were randomised into treatment and control groups. The data are... -
Towards reproducible econometric research: the Sweave framework (replication ...
This dataset has no description
-
Public insurance and private savings: who is affected and by how much? (repli...
This paper employs a recently developed instrumental quantile regression method to investigate the effect of Medicaid on household savings across different wealth groups. It... -
Binary choice under social interactions: an empirical study with and without ...
This paper examines two methods of modeling binary choice with social interactions: models assuming homogeneous rational expectations and models using subjective data on... -
Comments on ‘Jointness of growth determinants’ (replication data)
We consider the measures of jointness proposed by Doppelhofer and Weeks (2009) and Strachan (2009) in the context of variable selection. Using the general criteria suggested in... -
Jointness of growth determinants (replication data)
This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model... -
Assessing the credibility of instrumental variables inference with imperfect ...
Consistent instrumental variables (IV) estimation requires instruments uncorrelated with model errors, but this assumption is usually both suspect and untestable. Here the... -
Estimating Euler equations with noisy data: two exact GMM estimators (replica...
In this paper we exploit the specific structure of the Euler equation and develop two alternative GMM estimators that deal explicitly with measurement error. The first estimator...