Bangladesh, with two-thirds of its land area less than five meters above sea level, is one of the most climate-vulnerable countries in the world. Low-lying coastal districts along the Bay of Bengal are particularly vulnerable to sea level rise, tidal flooding, storm surges, and climate-induced...

We generalize model calibration for a multivariate Tweedie distribution to allow for censored observations; estimation is based on the method of moments. The multivariate Tweedie distribution we consider incorporates dependence in a pool of lives via a common stochastic component. Pools may be...

This paper investigates the association between personality traits and charitable behaviour, namely donations of time and money, using data from Understanding Society, the most recent large scale UK household longitudinal survey. Due to the censored nature of the outcome variables, i.e. some...

We develop a panel data count model combined with a latent Gaussian spatio-temporal heterogenous state process to analyze monthly severe crimes at the census tract level in Pittsburgh, Pennsylvania. Our data set combines Uniform Crime Reporting data with socio-economic data from the 2000 census....

This paper uses Census microdata and a regression‐based approach to assign multi‐division firms' pre‐2008 Research and Development (R&D) expenditures to more than one industry. Since multi‐division firms conduct R&D in more than one industry, assigning R&D to corresponding industries...

Count data, such as recreational fishing trips taken by anglers, is increasingly common in recreational fishing demand analysis. Because of the non-negative integer nature of the recreational fishing trip data, some over-dispersion problems, and truncation of the data at zero trips, count data...