This paper introduces dynamics in the R&D to innovation and innovation to productivity relationships, which have mostly been estimated on cross-sectional data. It considers four nonlinear dynamic simultaneous equations models that include individual effects and idiosyncratic errors correlated...

This paper investigates the determinants of academic achievements of post-reform undergraduate students of Ca’ Foscari University of Venice. Academic achievements are measured with the students’ grade point averages and time to graduation. The set of independent variables contains...

This study examines the relationship between maternal behavior during pregnancy, birth outcomes, and early childhood development. Specifically, in the context of four measures of maternal behavior during pregnancy (maternal smoking, drinking, prenatal care, and maternal weight gain), three...

This paper presents an empirical analysis of the efficiency of the UK debt management authorities's (DMA) behaviour from a cost minimisation perspective over the period January 1985 to March 1995. During this period, the maturity structure of the government's bond portfolio was subject to...

This paper generalises a classical theorem on the minimisation of the ratio of two quadratic forms so as to permit the denominator to be nonnegative definite, provides a modified formula for the minimum variance ratio estimation including the limited information maximum likelihood, and...

We develop a method that identifies the effects of nationwide policy, i.e., policy implemented across all regions at the same time. The core idea is to track outcome paths in terms of stages rather than time, where a stage of a regional outcome at time t is its location on the support of a...

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...