This paper studies the effect of human capital on the regional entry of firms. An econometric model for a system of disjoint regions and frequency data is constructed, making the comparison between the regions a random discrete choice problem. Empirical evidence from Swedish labour market...

This paper estimates a locational choice model to assess the demand for local public services, using a data set where individuals chooses between 26 municipalities within a local labor market. We assess the importance of the IIA assumption by comparing the predictions of three difference models;...

In this paper we use mixed logit specifications to allow parameters to vary in the population when estimating the value of time for long-distance car travel. Our main conclusion is that the estimated value of time is very sensitive to how the model is specified: we find that it is significantly...

The research estimates a competing risk model of mortgage terminations on samples of UK securitised subprime mortgages. Given the argued role of these types of loan in the recent financial crisis then it is important to better understand their performance and supposed idiosyncratic behaviour....

The paper discusses some model related issues for time series of the number of shareholders in a stock. The point of departure is an integer-valued autoregressive model of order one. Empirical results are presented for some frequently traded stocks on the Finnish and Swedish stock markets. In...

This note defines the asymmetric count data, first order moving average model and gives some of its basic properties. A brief account of conditional least squares estimation of unknown parameters is also given.

A dynamic process underlying firms' discrete financial choices has previously been found, but without controlling for unobserved heterogeneity, this dependence can either be of a "true" nature or an effect of firm-specific characteristics that we cannot observe. This study extends previous...

A characterization of endogeneity in the binomial regression model is given. The relationship to a model subject to selection is indicated. Maximum likelihood and nonlinear instrumental variable estimators are obtained and evaluated in a Monte Carlo study. A new LM test and a Hausman test...

Conditional heteroskedasticity properties are derived for some common count data regression and time series models. New extensions are suggested and discussed.

The daily number of occupied hotel rooms in three large Swedish cities is modelled by an integer-valued and binomial autoregression. The model includes the capacity constraint and price variables are incorporated through the parameters of the model. The model implies a duration of hotel visit...