Phillips curves have often been estimated without due attention to the underlying time series properties of the data. In particular, the consequences of inflation having discrete breaks in mean, for example caused by supply shocks and the corresponding responses of policymakers, have not been...

Phillips curves are often estimated without due attention being paid to the underlying time series properties of the data. In particular, the consequences of inflation having discrete breaks in mean have not been studied adequately. We show by means of simulations and a detailed empirical...

Phillips curves are often estimated without due attention to the underlying time series properties of the data. In particular, the consequences of inflation having discrete breaks in mean have not been studied adequately. We show by means of simulations and a detailed empirical example based on...

This paper argues that because United States inflation has been nonstationary over the past 5 decades the body of empirical research that proceeds assuming explicitly or implicitly that inflation is stationary with constant mean is largely invalid. Using 50 years of US inflation data the...

Sickness incidence and recovery are likely to be affected not only by characteristics of individual workers, but also by the conditions under which they work. Large register data bases have been available for researchers in several countries for some years now, allowing detailed research on how...

Empirical studies of economic growth across countries are abundant and rich in conclusions, some of them widely accepted. This is not the case, however, with the empirics of business cycles. Particularly, there exists little evidence explaining why some countries take more time than others...

This paper considers the extension to panel data of models that are specified cross-sectionally in terms of a likelihood. It considers specifically the estimation of stochastic frontier models but the same issue arises in many other models. The model can be estimated for any single value of the...

This paper considers a spatial panel data regression model with serial correlation on each spatial unit over time as well as spatial dependence between the spatial units at each point in time. In addition, the model allows for heterogeneity across the spatial units using random effects. The...

This paper considers a spatial panel data regression model with serial correlation on each spatial unit over time as well as spatial dependence between the spatial units at each point in time. In addition, the model allows for heterogeneity across the spatial units using random effects. The...

This paper investigates causes of the recent sharp decline in the money multiplier in Japan from the bank side. Two candidates for the cause are examined: the first is the worsening of the banks’ financial soundness, and the second is the zero interest rate policy. Using panel data of...