We propose a method to decompose changes in the tax structure into a component measuring the level of taxes and a component orthogonal to the level that measures progressivity. While our focus is on the progessivity results, we find that the level shock is similar to standard tax shocks found in...

In this article, we propose a cointegration-based Permanent-Transitory decomposition for nonstationary Dynamic Factor Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a common and an idiosyncratic component. The common...

COVID-19's rapid shift to remote working has sparked interest in synthetizing the growing body of research in order to gain a comprehensive understanding into the scholarship structure of the field. This study explores the issue of pandemic-induced remote working from a multidisciplinary...

This paper examines sectoral productivity shocks of the COVID-19 pandemic, their aggregate impact, and the possible compensatory effects of improving productivity in infrastructure-related sectors. We employ the KLEMS annual dataset for a group of OECD and Latin America and the Caribbean...

It is well known that Micro and Small and Medium sized Enterprises (SMEs) are the backbone of the economy. Most of these companies use external financing sources like debt and equity capital to finance their activities. However, in general, in the area of SMEs' access to finance, there are...

This paper proposes a new panel model of cross-sectional dependence. The model has a number of potential structural interpretations that relate to economic phenomena such as herding in financial markets. On an econometric level it provides a flexible approach to the modelling of interactions...

We present a weekly structural Vector Autoregressive (VAR) model of the US crude oil market. Exploiting weekly data we can explain short-run crude oil price dynamics, including those related with the COVID-19 pandemic and with the Russia's invasion of Ukraine. The model is set identified with a...

We model the learning process of market traders during the unprecedented COVID-19 event. We introduce a behavioral heterogeneous agents' model with bounded rationality by including a correction mechanism through representativeness (Gennaioli et al., 2015). To inspect the market crash induced by...

This paper analyses changes in the speed of labour demand for new hires in response to the lockdowns that were repeatedly put in place to contain the spread of the COVID-19 pandemic. It tests whether the uncertainty-reducing effect of similar lockdowns occurring in quick succession increased the...