In this paper R2-type measures of the explanatory power of multivariate linear and categorical probit models proposed in the literature are reviewed and their deficiencies are discussed. It is argued that a measure of the explanatory power should take into account the components which are...

In this paper R2-type measures of the explanatory power of multivariate linear and categorical probit models proposed in the literature are reviewed and their deficiencies are discussed. It is argued that a measure of the explanatory power should take into account the components which are...

We conduct an extensive Monte Carlo experiment to examine the finite samples properties of maximum likelihood based inference in the bivariate probit model with endogenous dummy. We analyse the relative performance of alternative exogeneity tests, the impact of distributional misspecification...

We study practice variation in scheduling of cesarean section delivery across public and private hospitals in Italy. Adopting a novel perspective, we look at the role played by patients' preferences for the treatment. The recursive probit model is revisited as a useful tool to assess the...

We study practice variation in scheduling of caesarean section (CS) delivery across public and private hospitals in Italy. Adopting a novel perspective, we look at the role played by patients’ preferences for the treatment. The recursive probit model is revisited as a useful tool to assess the...

This paper addresses whether and to what extent econometric methods used in experimental studies can be adapted and applied to financial data to detect the best-fitting preference model. To address the research question, we implement a frequently used nonlinear probit model in the style of Hey...

While prior research has studied the motivations of individuals to consume content on social media platforms, limited work exists on how contributors are motivated to create content. We examine the role of peer influence in content production on YouTube, where content creators are competing for...

This study examines whether developers learn from their experience and from interactions with peers in OSS projects. A Hidden Markov Model (HMM) is proposed that allows us to investigate (1) the extent to which OSS developers actually learn from their own experience and from interactions with...

This paper proposes a simpleprocedure based on Meta-analysisto test Granger causality relationship betweenvariables in heterogeneous mixed panels.We evaluate the finite sample properties of the causality test based on Meta-analysisthrough Monte Carlo experiments for panels characterized by both...

This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic relationships within a longitudinal data setting. The discussion surveys approaches for characterizing the micro dynamics of continuous dependent variables both over time and across...