A common practice in empirical macroeconomics is to examine alternative recursive orderings of the variables in structural vector autoregressive (VAR) models. When the …
D Bonciani, J Oh - The BE Journal of Macroeconomics, 2023 - degruyter.com
In this paper, we argue that macroeconomic uncertainty shocks cause a persistent decline in economic activity, investment in R&D, and total factor productivity. After providing empirical …
This paper studies the role of uncertainty in a search-and-matching framework with risk- averse households. A mean-preserving spread to future productivity contracts current …
We employ a nonlinear proxy‐VAR approach to document the large response of real activity to a financial uncertainty shock during and in the aftermath of the Great Recession. We …
This paper uses a nonlinear vector autoregression and a non-recursive identification strategy to show that an equal-sized uncertainty shock generates a larger contraction in real …
We introduce a completely abstract dynamic programming framework in which dynamic programs are sets of policy operators acting on a partially ordered space. We provide an …
This paper extends the core results of discrete time infinite horizon dynamic programming to the case of state-dependent discounting. We obtain a condition on the discount factor …
The existing literature on carbon policy analysis in a random environment focuses on the existence of the level (first-moment) shocks, whereas recent research emphasized the …
This paper shows how uninsurable unemployment risk is crucial to qualitatively and quantitatively match macro responses to uncertainty shocks. Empirically, uncertainty shocks …