This research assesses the performance of over-dispersed Poisson regression model and negative binomial model with count data. It examines the association between price plan features of mobile phone services and the number of people who adopt the plan. Mobile service data is used to estimate the...

A flexible semiparametric class of models is introduced that offers an alternative to classical regression models for count data as the Poisson and Negative Binomial model, as well as to more general models accounting for excess zeros that are also based on fixed distributional assumptions. The...

In response to increasing health expenditures and a high number of physician visits, the German government introduced a copayment for ambulatory care in 2004 for individuals with statutory health insurance (SHI). Because persons with private insurance were exempt from the copayments, this...

Most existing empirical evidence on the impact of profit taxationon multinational firm activity is based on cross-country data. One majordrawback of such data is that countries differ not only with regardto taxes but along other dimensions which might be hard to captureby means of observable...

This paper provides an empirical analysis on the effectiveness of incentives when pay-offs were changed. Using data on Portuguese first division football matches the effects of the introduction of the so called three-point rule are analyzed applying panel count data techniques.

I show a simple back-of-the-envelope method for calculating marginal effects in binary choice and count data models. The approach suggested here focuses attention on marginal effects at different points in the distribution of the dependent variable rather than representative points in the joint...

This paper estimates demand for residential solar photovoltaic (PV) systems using a new approach to address three empirical challenges that often arise with count data: excess zeros, unobserved heterogeneity, and endogeneity of price. Our results imply a price elasticity of demand for solar PV...

This paper extends the canonical model of epidemiology, the SIRD model, to allow for time-varying parameters for real-time measurement and prediction of the trajectory of the Covid-19 pandemic. Time variation in model parameters is captured using the generalized autoregressive score modeling...

This thesis consists of two papers dealing with fertility in Sweden. In paper [1] we discuss possible explanations for the variation in the Swedish fertility. We are primarily interested in economic and social conditions and their impact on the total fertility rate between 1965 and 2003. The...

We review the past 25 years of time series research that has been published in journals managed by the International Institute of Forecasters (Journal of Forecasting 1982-1985; International Journal of Forecasting 1985-2005). During this period, over one third of all papers published in these...