What are the relative effects of anticipated vs. unanticipated monetary policy? I examine the effect of this identifying assumption on VAR estimates of the output response to money, assuming that anticipated monetary policy can have some effect on output results in much shorter and smaller...

This paper develops a threshold-augmented dynamic multi-country model (TGVAR) to quantify the macroeconomic effects of Covid-19. We show that there exist threshold effects in the relationship between output growth and excess global volatility at individual country levels in a significant...

We measure the impact of the initial Indian national COVID-19 lockdown on digital activity using browser histories of 1,094 individuals, spanning over 31.5 million website visits on computers and mobile devices. Reflecting the predicted increase in the value of online activity, both men and...

What explains record U.S. house price growth since late 2019? We show that the shift to remote work explains over one half of the 23.8 percent national house price increase over this period. Using variation in remote work exposure across U.S. metropolitan areas we estimate that an additional...

This paper analyzes the performance of heteroskedasticity-and-autocorrelation-consistent (HAC) covariance matrix estimators in which the residuals are prewhitened using a vector autoregressive (VAR) filter. We highlight the pitfalls of using an arbitrarily fixed lag order for the VAR filter, and...

This paper presents a way of estimating how accurate VAR models are likely to be for answering structural questions. Data are generated from a dynamic deterministic solution of a structural model; a VAR model is estimated using a subset of these data; and the properties of the VAR model are...

We study standard predictive regressions in economic systems governed by persistent vector autoregressive dynamics for the state variables. In particular, all - or a subset - of the variables may be fractionally integrated, which induces a spurious regression problem. We propose a new inference...