This paper develops a long run growth model for a major oil exporting economy and derives conditions under which oil revenues are likely to have a lasting impact. This approach contrasts with the standard literature on the Dutch disease and the resource curse, which primarily focus on short run...

Differently from most European countries and despite the recommendations on the part of the European Commission, Italy still misses a sufficiently systematic and nationwide mechanism of income support. In this paper we want to explore the feasibility, the desirability and the features of a...

Many microeconometric models of discrete labour supply include alternative-specific constants meant to account for (possibly besides other factors) the density or accessibility of particular types of jobs (e.g. part-time jobs vs. full-time jobs). The most common use of these models is the...

This paper estimates the economic and non-economic returns to volunteering for prime-aged women. A woman's decision to engage in unpaid work, and to marry and have children, is formulated as a forward-looking discrete choice dynamic programming problem. Simulated maximum likelihood estimates of...

The citation analysis of the research output of the German economic research institutes presented here is based on publications in peer-reviewed journals listed in the Social Science Citation Index for the 2000-2009 period. The novel feature of the paper is that a count data model quantifies the...

This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS. The methods are suitable for the high-dimensional setting where the number of...

We use data from Google Trends to predict the effect of the COVID-19 pandemic on future births in the United States. First, we show that periods of above-normal search volume for Google keywords relating to conception and pregnancy in US states are associated with higher numbers of births in the...

The COVID-19 pandemic raised the share of inactive individuals in 2020 in Italy, mostly at the expense of permanent and fix-term employment. We document sizable asymmetric effects across categories of individuals, defined on the basis of gender, age and geographical area. In particular, the...

We propose a general methodology to measure labour market dynamics, inspired by the search and matching framework, based on the estimate of the transition rates between labour market states. We show how to estimate instantaneous transition rates starting from discrete time observations provided...

Using high-quality nation-wide social security data combined with machine learning tools, we develop predictive models of income support receipt intensities for any payment enrolee in the Australian social security system between 2014 and 2018. We show that off-the-shelf machine learning...