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Estimating demand with recentered instruments

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  • Kirill Borusyak
  • Peter Hull
  • Mauricio Caceres Bravo

Abstract

We develop a new approach to estimating flexible demand models with exogenous supply-side shocks. Our approach avoids conventional assumptions of exogenous product characteristics, putting no restrictions on product entry, despite using instrumental variables that incorporate characteristic variation. The proposed instruments are model-predicted responses of endogenous variables to the exogenous shocks, recentered to avoid bias from endogenous characteristics. We illustrate the approach in a series of Monte Carlo simulations.

Suggested Citation

  • Kirill Borusyak & Peter Hull & Mauricio Caceres Bravo, 2025. "Estimating demand with recentered instruments," CeMMAP working papers 10/25, Institute for Fiscal Studies.
  • Handle: RePEc:azt:cemmap:10/25
    DOI: 10.47004/wp.cem.2025.1025
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    1. Rodrigo Adao & Arnaud Costinot & Dave Donaldson, 2017. "Nonparametric Counterfactual Predictions in Neoclassical Models of International Trade," American Economic Review, American Economic Association, vol. 107(3), pages 633-689, March.
    2. Luis Aguiar & Joel Waldfogel, 2018. "Quality Predictability and the Welfare Benefits from New Products: Evidence from the Digitization of Recorded Music," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 492-524.
    3. Rodrigo Adão & Paul Carrillo & Arnaud Costinot & Dave Donaldson & Dina Pomeranz, 2022. "Imports, Exports, and Earnings Inequality: Measures of Exposure and Estimates of Incidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1553-1614.
    4. Moon, Hyungsik Roger & Shum, Matthew & Weidner, Martin, 2018. "Estimation of random coefficients logit demand models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 613-644.
    5. Robert Dekle & Jonathan Eaton & Samuel Kortum, 2008. "Global Rebalancing with Gravity: Measuring the Burden of Adjustment," IMF Staff Papers, Palgrave Macmillan, vol. 55(3), pages 511-540, July.
    6. Wang, Ao, 2023. "Sieve BLP: A semi-nonparametric model of demand for differentiated products," Journal of Econometrics, Elsevier, vol. 235(2), pages 325-351.
    7. Timothy B. Armstrong, 2016. "Large Market Asymptotics for Differentiated Product Demand Estimators With Economic Models of Supply," Econometrica, Econometric Society, vol. 84, pages 1961-1980, September.
    8. Andrew Sweeting, 2013. "Dynamic Product Positioning in Differentiated Product Markets: The Effect of Fees for Musical Performance Rights on the Commercial Radio Industry," Econometrica, Econometric Society, vol. 81(5), pages 1763-1803, September.
    9. Chamberlain, Gary, 1987. "Asymptotic efficiency in estimation with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 34(3), pages 305-334, March.
    10. Arnaud Costinot & Dave Donaldson & Cory Smith, 2016. "Evolving Comparative Advantage and the Impact of Climate Change in Agricultural Markets: Evidence from 1.7 Million Fields around the World," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 205-248.
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