Name File Type Size Last Modified
CS.mod text/x-matlab 27.8 KB 06/29/2020 05:07:AM
CS_param.m text/x-matlab 2.3 KB 07/13/2013 01:04:AM
CS_steadystate.m text/x-matlab 20.6 KB 06/29/2020 09:32:AM
CSdataestim.mat application/x-matlab-data 11.7 KB 07/13/2013 01:04:AM
CSdataother.mat Unknown 24.6 KB 06/28/2020 02:03:PM
CSfig1.m text/x-matlab 2.7 KB 06/30/2020 04:30:AM
CSfig2.m text/x-matlab 11.9 KB 06/29/2020 07:14:AM
CSfig3.m text/x-matlab 4.9 KB 06/29/2020 07:14:AM
CSfig4.m text/x-matlab 11.2 KB 06/29/2020 07:15:AM
CSfig5.m text/x-matlab 5.3 KB 06/29/2020 09:27:AM

Project Citation: 

Becard, Yvan, and Gauthier, David. Data and Code for Collateral Shocks. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-06-30. https://doi.org/10.3886/E120103V1

Project Description

Summary:  View help for Summary
We estimate a macroeconomic model on US data where banks lend to households and businesses and simultaneously adjust lending requirements on the two types of loans. We find that the collateral shock, a change in the ability of the financial sector to redeploy collateral, is the most important force driving the business cycle. Hit by this unique disturbance, our model quantitatively replicates the joint dynamics of output, consumption, investment, employment, and both household and business credit quantities and spreads. The estimated collateral shock generates accurate movements in lending standards and tracks measures of market sentiment.

Scope of Project

JEL Classification:  View help for JEL Classification
      E32 Business Fluctuations; Cycles
      E44 Financial Markets and the Macroeconomy
      G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages


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