Using quarterly temperature and employment data between 1990 and 2021, this paper uncovers nuanced evidence on the impact of seasonal temperature within US counties: higher winter temperature increases private sector employment growth while higher summer temperature decreases it. The impacts of...

In this paper, we develop new methods for analyzing high-dimensional tensor datasets. A tensor factor model describes a high-dimensional dataset as a sum of a low-rank component and an idiosyncratic noise, generalizing traditional factor models for panel data. We propose an estimation algorithm,...

This paper proposes a novel testing procedure for selecting a sparse set of covariates that explains a large dimensional panel. Our selection method provides correct false detection control while having higher power than existing approaches. We develop the inferential theory for large panels...

When specifying and estimating latent factor models, a common assumption made is one of factor pervasiveness, which requires that Γ'Γ/N converges to a positive definite matrix, as N → ∞, where Γ denotes the loading matrix of the factor model. This paper builds on the recent nascent...

The presented R package called hdData360r collects and preprocesses thousands of up-to-date annual governance, trade, and competitiveness indicators from World Bank Group platforms for all countries worldwide. It contains a function named get_hdData360 that has one mandatory and two optional...

In a stochastic frontier setting, we examine technical efficiency in the Middle East and North Africa (MENA). Evidence suggests that in addition to economic indicators, political and social ones play a key role in development and frontier technical efficiency profiles. The MENA have been...

Critics protest loudly against restrictions imposed by politicians during the COVID-19 pandemic in Germany: Mandatory masks, lockdowns, school and business closures. This paper examines (1) the extent to which these policies have indirectly contributed to limiting the number of COVID-19 cases...

Critics protest loudly against restrictions imposed by politicians during the COVID-19 pandemic in Germany: Mandatory masks, lockdowns, school and business closures. This paper examines (1) the extent to which these policies have indirectly contributed to limiting the number of COVID-19 cases...

A substantial and rapidly growing literature has developed around estimating earnings gains from two-year college degrees using administrative data. These papers almost universally employ a person-level fixed effects strategy to estimate earnings premia net of fixed attributes. We note that the...

For emerging professions, such as jobs in the fi eld of artifi cial intelligence (AI) or sustainability (green), labour supply does not meet industry demand. In this scenario of labour shortages, our work aims to understand whether employers have started focusing on individual skills rather than...