In this paper we develop a job portfolio model of dual job holding based on a Stone-Geary utility function. We derive the associated Slutsky equation components. Because the job portfolio model applies only to unconstrained dual jobholders, we separate individuals who moonlight because of an...

This paper develops a unified model of dual and unitary job holding based on a Stone-Geary utility function. The model incorporates both constrained and unconstrained labor supply. Panel data methods are adapted to accommodate unobserved heterogeneity and multinomial selection into 6 mutually...

This paper examines the extent to which the incidence of dual job holding is cyclically sensitive in the context of hours constraints on labor supply. Linear probability models of the incidence of dual job holding are estimated separately for each hours constraint regime. Selection effects are...

This paper examines the effects of increasing marginal tax rates on labour supply in a setting in which workers may hold two jobs and may be constrained in their weekly hours on their main jobs. A panel data, multi-equation labour supply model is estimated with correction for tax system...

The COVID pandemic that took the world economy by surprise at the beginning of 2020 brought many drastic changes to the way individuals carry on their daily lives. One that will have long lasting effects, even after the spread of the virus is contained, is a shift towards flexible work...

We consider nonparametric regression for bivariate circular time series with long-range dependence. Asymptotic results for circular Nadaraya–Watson estimators are derived. Due to long-range dependence, a range of asymptotically optimal bandwidths can be found where the asymptotic rate of...

We investigate the behavior of nonparametric kernel M-estimators in the presence of long-memory errors. The optimal bandwidth and a central limit theorem are obtained. It turns out that in the Gaussian case all kernel M-estimators have the same limiting normal distribution. The motivation behind...

Prediction in time series models with a trend requires reliable estimation of the trend function at the right end of the observed series. Local polynomial smoothing is a suitable tool because boundary corrections are included implicitly. However, outliers may lead to unreliable estimates, if...

This paper studies firms’ decisions to export and invest in R&D and their effects on employment growth and labor flows for a sample of Italian SMEs operating in the manufacturing industry. After accounting for the under-reporting of R&D in SMEs, our quantile regressions reveal that (i) R&D is...

A class of circular processes based on Gaussian subordination is introduced. This allows for flexible modelling of directional time series with long-range dependence. Based on limit theorems for subordinated processes and consistent estimation of nuisance parameters, asymptotic confidence...