The main aim of this paper is to provide forecast intervals for inflation and unemployment rate in Romania, bringing methodological novelties in the construction and evaluation of the prediction intervals. Considering the period 2004-2017 as forecast horizon, only few intervals included the...

This paper examines local labor market outcomes from an oil and gas boom. We examine two main outcomes across gender, race, and ethnicity: the probability of employment in the oil and gas industry and the log wages of workers employed outside the oil and gas industry. We find that men and women...

The main purpose of this study is to assess the impact of Brexit on the foreign direct investment (FDI) in the United Kingdom. As a novelty, compare to previous studies from the literature, the research focused on two proxies for FDI: FDI projects with the associated new and safeguarded jobs and...

Childhood circumstances may impact senior health, prompting this study to introduce novel machine learning methods to assess their individual and collective contributions to health inequality in old age. Using the US Health and Retirement Study (HRS) and the China Health and Retirement...

This paper assesses the impact of the first wave of the pandemic on the local economies of one of the hardest-hit countries, Italy. We combine quarterly local labor market data with the new machine learning control method for counterfactual building. Our results document that the economic...

Panel data are rarely available for developing countries. Departing from traditional pseudo-panel methods that require multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with as few as two survey rounds and produces point...