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**************QuantMig Deliverable9.2**************
**************DSGE Model Section 3.2***************
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Read Me file for DSGE model in Section 3.2.

Barker E. R. and Bijak J (2021) Uncertainty in Migration Scenarios. QuantMig Project Deliverable D9.2 Data Description. Southampton: University of Southampton. 

The full model is described in Barker, E. R. et al (2021).

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**************Data**************
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The data in the CSV file is the Hamilton (2018) filter of the variables used in the estimation. For Germany
GDP: Real logged, per working age - Germany 
Private Investment: Real logged, per working age - Germany 
Private Consumption: Real logged, per working age - Germany
Net Migration: Logged, per working age - Germany (annual frequency)
Household Transfers: Real logged, per working age - Germany
Government Consumption: Real logged, per working age - Germany
Stock of robots - Logged per working age (annual frequency)
US GDP - logged, real per working age

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**************Software**************
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You will need dynare installed to run this model. The author uses dynare v4.5.1, Matlab 2020a on Mac Big Sur V11.1 - newer versions of dynare, Matlab and Big Sur are not tested. External steady state file is required.

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**************References**************
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Barker, E. R., Thoenissen, C. and Vella, E. (2021), On the Automation-Migration Link:
Earnings Inequality and Dynamics, Working Papers forthcoming, The University of
Sheffield, Department of Economics.

Hamilton, J. D. (2018), Why You Should Never Use the Hodrick-Prescott Filter?,
The Review of Economics and Statistics 100(5), 831?843.

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**************Contact Us**************
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Collected by Emily Barker on 19th October 2021
University of Southampton
If you spot an error, or have any questions, please contact E Barker or J Bijak.
E.R.Barker@soton.ac.uk
J.Bijak@soton.ac.uk
Only use code with authors' permission