More than a year since the first outbreak in China in December 2019, most countries are still struggling to contain the COVID-19 pandemic. Mass antigen testing has been proposed as an instrument to mitigate the spread of the disease and allow the economy to re-open. We investigate the potential...

We examine the determinants of product, process, and organizational innovation, and their impact on firm labor productivity using data from a unique innovation survey of firms in Pakistan. We find significant heterogeneity in the impact of different innovations on labor productivity:...

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...

I examine the short-term labor market effects of the Great Lockdown in the United States. I analyze job losses by task content (Acemoglu & Autor 2011), and show that they follow underlying trends; jobs with a high non-routine content are especially well-protected, even if they are not...

This study leverages detailed administrative data on firms' job flows and variation across Local Labor Markets (LLMs) in the spread of COVID-19 to investigate shifts in labor demand prompted by the pandemic. To this end, we exploit the large spatial variation in the intensity of the pandemic...

In the past decade inclusive growth, that is job-rich growth, has topped the policy agenda in developing countries. This paper investigates how the access to finance affects employment in small and medium-sized enterprises (SMEs) in Sub-Saharan Africa. It first presents a model where firm...

This paper takes advantage of access to detailed matched bank-firm data to investigate whether and how employment decisions of SMEs have been affected by credit constraints in the wake of the Great Recession. Variability in banks’ financial health following the 2008 crisis is used as an...

We use the prolonged Greek crisis as a case study to understand how a lasting economic shock affects the innovation strategies of firms in economies with moderate innovation activities. Adopting the 3-stage CDM model, we explore the link between R&D, innovation, and productivity for different...

This paper analyzes the main drivers of external competitiveness in times of crisis for small and medium enterprises (SMEs). We focus on the Italian experience in the midst of the financial and sovereign-debt crisis, and present robust evidence based on a comprehensive survey of Italian...

The study utilises the International Labor Organization's SMEs COVID-19 pandemic business risks scale to determine whether Artificial Intelligence (AI) applications are associated with reduced business risks for SMEs. A new 10-item scale was developed to capture the use of AI applications in...