We estimate the multiplier relying on differences in spending in infrastructure across Italian provinces and an instrument identifying investment changes that are large and exogenous to local cyclical conditions. We derive our instrument from the Law mandating the interruption of public work on...

This paper investigates the importance of parents reading to their young children. Using Australian data we find that parental reading to children at age 4 to 5 has positive and significant effects on reading skills and cognitive skills of these children at least up to age 10 or 11. Our findings...

In this paper we focus on the implications of consumer heterogeneity for whether competition will improve outcomes in health care markets. We show that competition generally favours the majority group as higher quality for the majority is an effective way to increase the quality signal and...

Many literatures investigate the causal impact of income on economic outcomes, for example in the context of intergenerational transmission or well-being and health. Some studies have proposed to use employer wage differentials and in particular industry affiliation as an instrument for income....

In a model where patients face budget constraints that make some treatments unaffordable, we ask which treatments should be covered by universal basic insurance and which by private voluntary insurance. We argue that both cost effectiveness and prevalence are important if the government wants to...

We develop a new methodology to compute differences in the expected longevity of individuals who are in different socioeconomic groups at age 50. We deal with the two main problems associated with the standard use of life expectancy: that people's socioeconomic characteristics evolve over the...

If labour market policies aimed at people with disabilities are effective, we should observe no significant difference in labour market outcomes between disabled and non-disabled individuals. This Paper examines the impact of disability status on labour market outcomes using matching methods...

The estimation of large Vector Autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common unobserved factor. This is justified by the observation that the pattern of...

We propose a method for solving and estimating linear rational expectations models that exhibit indeterminacy and we provide step-by-step guidelines for implementing this method in the Matlab-based packages Dynare and Gensys. Our method redefines a subset of expectational errors as new...

We consider estimating volatility risk factors using large panels of filtered or realized volatilities. The data structure involves three types of asymptotic expansions. There is the cross-section of volatility estimates at each point in time, namely i = 1,…, N observed at dates t = 1,…, T:...