Employees' wellbeing is important to the firms. Analysis of job satisfaction may give insight into various aspect of labor market behavior, such as worker productivity, absenteeism and job turn over. Little empirical work has been done on the relationship between structure of working environment...

We study the nature of firm pay dynamics. To this end, we propose a statistical model that extends the seminal framework by Abowd, Kramarz, and Margolis (1999a) to allow for idiosyncratically time-varying firm pay policies. We estimate the model using linked employeremployee data for Sweden from...

This paper investigates the job satisfaction in relation to managerial attitudes towards employees and firm size using the linked employer-employee survey results in Britain. We first investigate the management-employee relationships and the firm size using maximum likelihood probit estimation....

Using employer-employee data covering the whole Swedish economy over a uniquely long time period from 1986 to 2002, we examine how job flows and worker flows have been distributed both on an aggregate level and across educational levels. We find that job and worker flows vary by educational...

We study the derminants of plant closures i Swedish manufacturing using linked employer-employee data. From our theoretical framework we derive and empirically test hypothesis regarding the linkages between the probability of plant failure and: 1) industry-specific characteristics of production...

Relying on data for a panel of 90 economies over 1970-2015 and System-GMM estimates, we extend the standard Kuznets-curve empirical framework to investigate how financial development, globalisation and technology affect income inequality. Our findings reveal the presence of significant...

We document four facts about the worldwide COVID-19 pandemic that are relevant for those studying the impact of nonpharmaceutical interventions (NPIs) on COVID-19 transmission. First, across all countries and U.S. states that we study, the growth rates of daily deaths from COVID-19 fell from a...

In this paper, we introduce a set of critical values for unit root tests that are robust in the presence of conditional heteroscedasticity errors using the normalizing and variance-stabilizing transformation (NoVaS) in Politis (2007) and examine their properties using Monte Carlo methods. In...

In this paper a test procedure is proposed for the skewness in autoregressive conditional volatility models. The size and the power of the test are investigated through a series of Monte Carlo simulations with various models. Furthermore, applications with financial data are analyzed in order to...

This paper includes a simulation study on the bias and MSE properties of a two-step probit model estimator for handling missing values in covariates by conditional imputation. In one smaller simulation it is compared with an asymptotically efficient estimator and in one larger it is compared...