Testing for Unit Root Against Stationarity Using the Likelihood Ratio Test

In a first-order autoregressive model with drift, we derive the likelihood ratio test for a unit root against the stationary alternative. We also derive the test in a state space model with trend. Finite sample and asymptotic critical values are obtained by Monte Carlo simulations. A simulation study investigates the power performance of the likelihood ratio test and we also examine how a bias correction of the test affects the results.     

The Differential Earnings and Income Effects of Involuntary Job Loss on Workers with Disabilities — Evidence from Sweden

People with disabilities are consistently found to face considerable difficulties in the labour market. In this study we investigated whether their earnings and income trajectories are more adversely affected in case of involuntary job loss. Earnings of those with and without disabilities began to diverge already several years prior to job loss because of larger incidence of sickness. Following job loss much more job losers with disabilities became disability retirees resulting in a considerable and seemingly permanent earnings differential. However, larger uptake of public social insurances among job losers with disabilities resulted in a much smaller income differential.     

Tests of stochastic dominance with repeated measurements data

AStA Advances in Statistical Analysis - The paper explores a testing problem which involves four hypotheses, that is, based on observations of two random variables X and Y, we wish to discriminate...