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This article develops a Bayesian approach for estimating panel quantile regression with binary outcomes in the presence of correlated random effects. We construct a working likelihood using an asymmetric Laplace (AL) error distribution and combine it with suitable prior distributions to obtain...
Persistent link: https://www.econbiz.de/10012163022
Recent research exploits a variety of natural experiments that create exogenous variation in annual school days to estimate the average effect of formal schooling on students' academic achievement. However, the extant literature's focus on average effects masks potentially important variation in...
Persistent link: https://www.econbiz.de/10011317634
the techniques to two empirical studies. First, the new method is applied to the estimation of labor supply elasticities …
Persistent link: https://www.econbiz.de/10010238040
, are developed to determine the number of factors at each quantile. QFA estimation remains valid even when the …
Persistent link: https://www.econbiz.de/10012315850
, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS. The methods are suitable for the …
Persistent link: https://www.econbiz.de/10011972491
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10009530816
distributions. For such cases we calculate general bounds for two association measures, Pearson's correlation coefficient and …
Persistent link: https://www.econbiz.de/10010339585
A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...
Persistent link: https://www.econbiz.de/10003829113
than by GARCH type volatility estimates. The t-DCC estimation procedure is applied to a portfolio of daily returns on …This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by …-DCC specification. The t-DCC model also passes a number of VaR diagnostic tests over an evaluation sample. The estimation results …
Persistent link: https://www.econbiz.de/10003586562
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/10003895082