Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Daniel F. Waggoner"'
Publikováno v:
The Journal of Finance. 78:1147-1204
Publikováno v:
Journal of Econometrics. 225:88-106
Motivated by the increasing use of external instruments to identify structural vector autoregressions (SVARs), we develop algorithms for exact finite sample inference in this class of time series models, commonly known as proxy-SVARs. Our algorithms
Autor:
Kirstin Hubrich, Daniel F. Waggoner
Publikováno v:
SSRN Electronic Journal.
We study the impacts of the 2009 monetary stimulus and its interaction with infrastructure spending on credit allocation. We develop a two-stage estimation approach and apply it to China's loan-level data that covers all sectors in the economy. We fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0919d46194656dc87d7efbf8566163f
https://doi.org/10.3386/w27763
https://doi.org/10.3386/w27763
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
The Transmission of Financial Shocks and Leverage of Banks: An Endogenous Regime Switching Framework
Autor:
Kirstin Hubrich, Daniel F. Waggoner
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Econometrica. 86:685-720
In this paper, we develop algorithms to independently draw from a family of conjugate posterior distributions over the structural parameterization when sign and zero restrictions are used to identify structural vector autoregressions (SVARs). We call
Publikováno v:
Journal of Economics and Business. 95:119-140
This paper examines the impact of the U.S. banking agencies’ recent guidance on incentive compensation on efforts to have banks build countercyclical capital buffers that can absorb losses during periods of economic weakness. The connection arises
Publikováno v:
Quantitative Economics. 7:637-669
Markov‐switching dynamic stochastic general equilibrium (MSDSGE) modeling has become a growing body of literature on economic and policy issues related to structural shifts. This paper develops a general perturbation methodology for constructing hi