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Estimating Demand Systems with Bidding Data

Author

Listed:
  • Jason Allen
  • Jakub Kastl
  • Milena Wittwer

Abstract

We introduce a framework for estimating demand across multiple assets with bidding data. Unlike existing methods, our approach does not rely on price instruments, which are often difficult to obtain. We describe the data requirements for implementation and illustrate its versatility using two applications: message-level data from Nasdaq and bidder-level data from Canadian Treasury bill auctions. We argue that understanding demand systems is a crucial factor in assessing the impact of market design on price stability and liquidity.

Suggested Citation

  • Jason Allen & Jakub Kastl & Milena Wittwer, 2026. "Estimating Demand Systems with Bidding Data," NBER Working Papers 34774, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:34774
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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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