Modern investors face a high-dimensional prediction problem: thousands of observable variables are potentially relevant for forecasting. We reassess the conventional wisdom on market efficiency in light of this fact. In our model economy, which resembles a typical machine learning setting, N...

We analyze factors behind 23,213 distressed acquisitions in European emerging markets from 2007–2019. Besides the impact of financial ratios, legal form, ownership structure, firm size, and age, we emphasize the role of institutions and channels of their propagation. We show that the quality...

Using European Commission real-time data, we show that potential output (PO) estimates were substantially and persistently revised downwards after the Great Recession. We decompose PO revisions into revisions of the capital stock, trend labor, and trend total-factor productivity (TFP)....

This paper analyses persistence and non-linearities in quarterly and monthly US Treasury 10-year bond yields over the period 1962-2021 using two different fractional integration approaches including Chebyshev polynomials and Fourier functions respectively. The results for both quarterly and...

Employing an endogenous growth model with human capital, this paper explores how productivity shocks in the goods and human capital producing sectors contribute to explaining aggregate fluctuations in output, consumption, investment and hours. Given the importance of accounting for both the...

Epidemiological models assume gravity-like interactions of individuals across space without microfoundations. We combine a simple epidemiological frame-work with a dynamic model of individual location choice. The model predicts that flows of people across space obey a structural gravity...

This paper provides a critical review of models of the spread of the coronavirus (SARS-CoV-2) that have been influential in recent policy discussions. It notes potentially important features of the real- world environment that the standard models do not incorporate and discusses reasons why...

Recruitment behavior is important for the matching process in the labor market. Using unique linked survey-administrative data, we explore the relationships between hiring and recruitment policies. Faster hiring goes along with higher search effort, lower hiring standards and more generous...

Using a registered pre-analysis plan, we survey college students during California’s Stay-at-Home order to test whether compliance with social distancing requirements depends on key parameters that affect their marginal benefit from doing so. We find a quarter of students violated the...

This paper estimates a New Keynesian model extended to include heterogeneous expectations, to revisit the evidence that postwar US macroeconomic data can be explained as the outcome of passive monetary policy, indeterminacy, and sunspot-driven fluctuations in the pre-1979 sample, with a switch...