Imperial College London

ProfessorGillesChemla

Business School

Professor of Finance
 
 
 
//

Contact

 

+44 (0)20 7594 9161g.chemla Website

 
 
//

Assistant

 

Ms Moira Rankin +44 (0)20 7594 9113

 
//

Location

 

3.0453 Prince's GateSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Chemla:2021:10.1111/iere.12513,
author = {Chemla, G and Hennessy, C},
doi = {10.1111/iere.12513},
journal = {International Economic Review},
pages = {639--669},
title = {Equilibrium counterfactuals},
url = {http://dx.doi.org/10.1111/iere.12513},
volume = {62},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - We incorporate structural modellers into the economy they model. Using traditional moment-matching, they treat policy changes as zero probability (or exogenous) ”counterfactuals.” Bias occurs since real-world agents understand policy changes are positive probability events guided by modellers. Downward, upward, or sign bias occurs. Bias is illustrated by calibrating the Leland model to the 2017 tax cut. The traditional identifying assumption, constant moment partial derivative sign, is incorrect with policy optimization. The correct assumption is constant moment total derivative sign accounting for estimation-policy feedback. Model agent expectations can be updated iteratively until policy advice converges to agent expectations, with bias vanishing.
AU - Chemla,G
AU - Hennessy,C
DO - 10.1111/iere.12513
EP - 669
PY - 2021///
SN - 0020-6598
SP - 639
TI - Equilibrium counterfactuals
T2 - International Economic Review
UR - http://dx.doi.org/10.1111/iere.12513
UR - https://onlinelibrary.wiley.com/doi/10.1111/iere.12513
UR - http://hdl.handle.net/10044/1/87279
VL - 62
ER -