We propose a bias correction method for nonlinear models with both individual and time effects. Under the presence of the incidental parameter problem, the maximum likelihood estimator derived from such models may be severely biased. Our method produces an approximation to an infeasible...

We introduce a second-order correction technique for nonlinear fixed-effect models exposed to the incidental parameter problem. This technique produces a bias-corrected log-likelihood function that possesses a bias only to the order (in expectation) of O (T-3) where T is the number of time...

We introduce a new Stata program xtspj as a bias correction tool for nonlinear models with fixed effects. The correction removes the first-order bias term using the split-panel jackknife estimation technique introduced by Dhaene and Jochmans (2015). Both the jackknife of the parameter and the...

In the context of the global production network (GPN) paradigm, this paper considers the combination of local and global factors which have contributed to the development of the ICT clusters in three small countries. Developments in each country reflect the combination of local advantages in...

Books reviewed: Industrial Location Economics, Philip McCann. The Color of Credit: Mortgage Discrimination, Research Methodology, and Fair-Lending Enforcement, Stephen L. Ross and John Yinger. Start-Up Factories: High-Performance Management, Job Quality, and Regional Advantage, Peter B....