We explore the effects of management innovations on worker well-being using private sector linked employer-employee data for Britain. We find management innovations are associated with lower worker well-being and lower job satisfaction, an effect which becomes more pronounced when we account for...

We show that worker wellbeing is not only related to the amount of compensation workers receive but also how they receive it. While previous theoretical and empirical work has often been pre-occupied with individual performance-related pay, we here demonstrate a robust positive link between the...

This paper investigates the overlap between employment status and poverty, drawing particular attention to the working poor and precarious workers, and to the existence of multiple labor-related risks faced by specific groups. This analysis is undertaken using the Kyrgyz Poverty Monitoring...

We study the determinants and consequences of family-friendly workplace practices (FFWP) using a sample of over 450 manufacturing firms in Germany, France, U.K., and U.S. We find a positive correlation between firm productivity and FFWP. This association disappears, however, once we control for...

We introduce an alternative version of the Fama-French three-factor model of stock returns together with a new estimation methodology. We assume that the factor betas in the model are smooth nonlinear functions of observed security characteristics. We develop an estimation procedure that...

We propose an easy to use derivative based two-step estimation procedure for semi-parametric index models. In the first step various functionals involving the derivatives of the unknown function are estimated using nonparametric kernel estimators. The functionals used provide moment conditions...

Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing nonstochastic explanatory variables and innovations suspected to be non-normal. The main stress is on the case of distribution of unknown, nonparametric, form, where series...

We describe and examine a consistent test for the correct specification of a regression function with dependent data. The test is based on the supremum of the difference between the parametric and nonparametric estimates of the regression model. Rather surprisingly, the behaviour of the test...

We introduce a kernel-based estimator of the density function and regression function for data that have been grouped into family totals. We allow for a common intra-family component but require that observations from different families be in dependent. We establish consistency and asymptotic...