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...

Between 2008 and 2012 new outpatient service locations were established in Hungarian micro-regions, which had lacked outpatient capacities before. We exploit this quasiexperiment to estimate the effect of geographical accessibility on outpatient case numbers using both semi-aggregate and...

Starting from a day-to-day model on hotel specific guest nights we obtain an integer-valued moving average model by cross-sectional and temporal aggregation. The two parameters of the aggregate model reflect the daily mean check-in and the daily check-out probability. Letting the parameters be...

There is a well-established debate between Heckman sample selection and two-part models in health econometrics, particularly when no obvious exclusion restrictions are available. Most of this debate has focussed on the application of these models to health care expenditure. This paper revisits...

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.

This note gives dynamic effects of discrete and continuous explanatory variables for count data or integer-valued moving average models. An illustration based on a model for the number of transactions in a stock is included.

A model to account for the long memory property in a count data framework <p> is proposed and applied to high frequency stock transactions data. <p> The unconditional and conditional first and second order moments are <p> given. The CLS and FGLS estimators are discussed. In its empirical <p> application to...</p></p></p></p>

The integer-valued AR(1) model is generalized to encompass some of the more likely features of economic time series of count data. The generalizations come at the price of loosing exact distributional properties. For most specifications the first and second order both conditional and...