Showing 1 - 10 of 2,412
-series data (cvlasso), and theory-driven ('rigorous') penalization for the lasso and square-root lasso for cross-section and panel …
Persistent link: https://www.econbiz.de/10011972491
of future events, Manski (2004) has recently argued that there is little existing theory supporting this practice. We …
Persistent link: https://www.econbiz.de/10003310964
This study evaluates potential migration flows to the European Union from its eastern neighbors and Croatia. We perform out-of-sample forecasts using an adaption of the model of Hatton (1995) to time series cross-sectional data about post-enlargement migration flows following the EU's 2004...
Persistent link: https://www.econbiz.de/10010194751
forecast errors; the training effect suggests that modest educational interventions can durably improve forecasting skills …. Forecast receipt increased demand for protective masks and increased the responsiveness of outdoor time to pollution. Forecast …
Persistent link: https://www.econbiz.de/10013472006
mortality if and only if mortality risk is convex in forecast errors. We test for such convexity using data on the universe of …
Persistent link: https://www.econbiz.de/10014309747
In this paper we describe an alternative iterative approach for the estimation of linear regression models with high-dimensional fixed-effects such as large employer-employee data sets. This approach is computationally intensive but imposes minimum memory requirements. We also show that the...
Persistent link: https://www.econbiz.de/10003794072
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
"I perform the joint estimation of a reduced-form dynamic model of the transition from one grade level to the next, and a Mincer wage equation, using panel data taken from the NLSY. A very high degree of flexibility is achieved by approximating the distributions of idiosyncractic grade...
Persistent link: https://www.econbiz.de/10003476496
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...
Persistent link: https://www.econbiz.de/10003975413
This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time varying heterogeneity. These include limited dependent variable models with both unobserved individual effects and endogenous explanatory variables, and sample selection models with...
Persistent link: https://www.econbiz.de/10003540299