Showing 1 - 7 of 7
This paper considers the problem of identification, estimation and inference in the case of spatial panel data models … errors. A quasi maximum likelihood (QML) estimation procedure is developed and the conditions for identification of spatial …
Persistent link: https://www.econbiz.de/10012890630
Immigration policy can have important net fiscal effects that vary by immigrants’ skill level. But mainstream methods to estimate these effects are problematic. Methods based on cash-flow accounting offer precision at the cost of bias; methods based on general equilibrium modeling address bias...
Persistent link: https://www.econbiz.de/10013311709
The U.S. limits work visas for low-skill jobs outside of agriculture, with a binding quota that firms access via a randomized lottery. We evaluate the marginal impact of the quota on firms entering the 2021 H-2B visa lottery using a novel survey and pre-analysis plan. Firms exogenously...
Persistent link: https://www.econbiz.de/10014242159
maximum likelihood estimation of the parameters in the model, we use an expectation maximization algorithm based on the state …
Persistent link: https://www.econbiz.de/10010264085
We study the effect of electoral incentives on the allocation of public services across legislative districts. We develop a model in which elections encourage individual legislators to cater to parochial interests and thus aggravate the common pool problem. Using unique data from seven US...
Persistent link: https://www.econbiz.de/10010274967
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/10010280808
estimation method, based on advances in economics, statistics, and applied mathematics, which involves estimating a structural …
Persistent link: https://www.econbiz.de/10010261321