We propose two novel methods to "bring ABMs to the data". First, we put forward a new Bayesian procedure to estimate the numerical values of ABM parameters that takes into account the time structure of simulated and observed time series. Second, we propose a method to forecast aggregate time...

This paper introduces two co-movement measures based on the Thick Pen Transform into the macroeconomic literature: the Thick Pen Measure of Association (TPMA) as well as Multi-Thickness Thick Pen Measure of Association (MTTPMA). Both measures are non-parametric, time-varying, and flexible....

In response to the Covid-19 pandemic, governments around the world have provided a massive fiscal and monetary stimulus. While this policy is welcome in the short run, it does not address the underlying problem in the medium and long run. The reason is that the pandemic has not given rise to a...

Since the recovery from the great financial crisis in 2010, global real trade flows grew much slower than pre-crisis, in both absolute terms (growth rates) and relative terms (relative to GDP, from 2:1 in the great 1990’s to 1:1 since 2012) A debate has arisen as to whether this global trade...

We use transaction-level US import data to compare firms from virtually all countries in the world competing in a single destination market. Guided by a simple theoretical framework, we decompose countries. market shares into the contribution of the number of firm-products, their average...

This paper introduces a framework to study the impact of trade liberalization on wage inequality and welfare in the presence of monopsonistic labor markets. The interaction of firm heterogeneity in productivity with idiosyncratic preferences of workers for working at different firms generates...