This paper studies the impact of Higher Order Belief shocks, representing shifts in agents' beliefs about others' beliefs, on macroeconomic outcomes. The dynamic causal effects of these shocks are identified by leveraging a combination of a proxy-VAR approach and DSGEbased instruments. Our...

Most macroeconomic models, both fully structural models as well as SVAR models, view economic outcomes as the product of a combination of endogenous and exogenous dynamic forces. In particular, the exogenous forces are generally modeled as a set of linearly independent dynamics processes. In...

This paper studies the impact of Higher Order Belief (HOB) shocks, representing shifts in agents' beliefs about others' beliefs, on macroeconomic outcomes. The dynamic causal effects of these shocks are identified by leveraging a combination of a proxy-VAR approach and DSGE-based instruments....

This paper investigates the contribution of sentiments shocks to US fluctuations in a Structural VAR setup with restrictions at various frequencies. Sentiments shocks are identified as shocks orthogonal to fundamentals that account for most of the variance of confidence. We obtain that, contrary...

In SVARs, identification of structural shocks can be subject to nonfundamentalness, as the econometrician may have an information set smaller than the economic agents' one. How serious is that problem from a quantitative point of view? In this paper we propose a simple diagnostic for the...

The proliferation of fake news poses significant challenges for policymakers and raises concerns about its potential impact on economic stability. This paper explores this question, focusing on the macroeconomic effects of technology related fake news in the US for the period 2007-2022....

The threats that misinformation poses to politics and public health are well documented, but the macroeconomic effects of fake news remain largely unexplored. This column highlights insights from recent research on the impact of fake news on economic stability. Leveraging a novel dataset, our...

This paper examines the implications of using VARs in levels under the Max Share identification approach when variables exhibit unit or near-unit roots. We derive the asymptotic distributions of the Max Share estimator, demonstrating that it converges to a random matrix, resulting in...

This paper proposes a joint methodology for the identification and inference of structural vector autoregressive models in the frequency domain. We show that identifying restrictions can be written naturally as an asymptotic least squares problem (Gourieroux, Monfort and Trognon, 1985) in which...

This paper examines structural change tests based on generalized empirical likelihood methods in the time series context, allowing for dependent data. Standard structural change tests for the GMM are adapted to the GEL context. We show that when moment conditions are properly smoothed, these...