In this paper two techniques, long memory and panel data models, are combined in order to increase the power of unit root tests. The power is shown to be always better against fractional alternatives and usually against autoregressive alternatives. The test is then used to reanalyze data sets...

The objective of this study is to investigate the sensitivity of the estimated relationship between innovation and firm performance. In doing so, we rely on a knowledge production function approach and carry out comparisons in a number of respects. The sensitivity analysis is based on the...

This paper provides a detailed examination of price responses in the Swedish gasoline market to changes in the world market price. We use daily price data from one of the leading retail chains together with input costs (spot market price and exchange rate)for the period January 1980 to December...

In order to determine to what extent capital investments are sunk costs this study deals with salvage values of discarded metalworking machinery. Even though these assets are expected to be non-specific many of the discarded assets are scrapped rather than sold on second-hand markets....

Many oligopoly theories predict that there will be a positive correlation between market size and the equilibrium number of firms, and some also imply that competition is more intense in larger markets. We test these predictions with a sample of 535 driving schools in 249 markets. With an...

The objective of this study is to investigate the sensitivity of the estimated relationship between innovation and firm performance. In doing so, we rely on a knowledge production function approach and carry out comparisons in a number of respects. The sensitivity analysis is based on the...

This paper studies competition in small, concentrated and inter- related markets. Our data set consists of price information fron 543 driving schools in 250 local markets in sweden, which gives a large sample to test hypotheses on how market structure influences competition. The results show...

In this paper we introduce the Smooth Permanent Surge [SPS] model. The model is an integrated non lineal moving average process with possibly unit roots in the moving average coefficients. The process nests the Stochastic Permanent Break [STOPBREAK] process by Engle and Smith (1999) and in a...

In this paper, we propose two parametric alternatives to the standard GARCH model. They allow the conditional variance to have a smooth time-varying structure of either additive or multiplicative type. The suggested parameterizations describe both nonlinearity and structural change in the...

This paper is concerned with maximum likelihood based inference in random effects models with serial correlation. Allowing for individual effects we introduce serial correlation of general form in the time effects as well as the idiosyncratic errors. A straightforward maximum likelihood...