Health care expenditures and use are challenging to model because these dependent
variables typically have distributions that are skewed with a large mass at zero. In this article …

This survey reviews the large and growing literature on copula-based models for economic
and financial time series. Copula-based multivariate models allow the researcher to specify …

When studying an outcome Y that is weakly positive but can equal zero (eg, earnings),
researchers frequently estimate an average treatment effect (ATE) for a “log-like” …

This paper assesses different econometric approaches to working with count-based
outcome variables and other outcomes with similar distributions, which are increasingly …

In this article, we present ppmlhdfe, a new command for estimation of (pseudo-) Poisson
regression models with multiple high-dimensional fixed effects (HDFE). Estimation is …

Multidimensional poverty measurement and analysis is evolving rapidly. A particular
counting approach to multidimensional poverty measurement, developed by Sabina Alkire …

A valuable overview of the most important ideas and results in statistical modeling Written by
a highly-experienced author, Foundations of Linear and Generalized Linear Models is a …

This book is about learning from data using the Generalized Additive Models for Location,
Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and …

This paper evaluates the impact of an R&D subsidy program implemented in a region of
northern Italy in the early 2000s on innovation by beneficiary firms. We use a regression …

This is a book about statistical distributions, their properties, and their application to
modelling the dependence of the location, scale, and shape of the distribution of a response …