For the problem of testing the hypothesis that all m coefficients of the RHS endogenous variables in an IV regression are zero, the likelihood ratio (LR) test can, if the reduced form covariance matrix is known, be rendered similar by a conditioning argument.
We survey the recent literature on the effects of active labor market policies on individual labor market outcomes like employment and income, for adult female individuals without work in European countries.
Measuring the private returns to R&D requires knowledge of its private depreciation or obsolescence rate, which is inherently variable and responds to competitive pressure.
This paper exploits a quasi-experimental setting to estimate the impact that a multi-dimensional group incentive scheme had on branch performance in a large distribution firm.
This paper presents some empirical evidence on the effects of innovation on employment growth and therefore on Italian firms' productivity with the goal of understanding the roots of their poor performance.
Choosing among a number of available treatments the most suitable for a given subject is an issue of everyday concern. A physician has to choose an appropriate drug treatment or medical treatment for a given patient, based on a number of observed covariates <i> X </i>?and prior experience.
For a simplified structural equation/IV regression model with one right-side endogenous variable, we obtain the exact conditional distribution function for Moreira's (2003) conditional likelihood ratio (CLR) test.
The behaviour of the permanent and transitory economic shocks for differen levels of hoouseholds' welfare is studied using both consumption and income measures.
This paper reviews various techniques for quantifying financial incentives to work, shows how financial work incentives have changed across the population since 1979, and estimates how much of these changes are due to changes in the tax and benefit system.
While the literature on nonclassical measurement error traditionally relies on the availability of an auxiliary dataset containing correctly measured observations, this paper establishes that the availability of instruments enables the identification of a large class of nonclassical nonlinear errors-in-variables models with continuously distributed variables.