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The Amiti–Weinstein estimator: An equivalence result

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  • Tielens, Joris
  • Van Hove, Jan

Abstract

Amiti and Weinstein (2013) develop a new methodology to identify bank-supply shocks using matched bank–firm credit data. We show, using the Frisch–Waugh theorem, that their methodology is equivalent to a weighted least squares regression and suggest applicability in other research areas.

Suggested Citation

  • Tielens, Joris & Van Hove, Jan, 2017. "The Amiti–Weinstein estimator: An equivalence result," Economics Letters, Elsevier, vol. 151(C), pages 19-22.
    • Handle: RePEc:eee:ecolet:v:151:y:2017:i:c:p:19-22
    DOI: 10.1016/j.econlet.2016.11.039
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    References listed on IDEAS

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    1. Jiménez, Gabriel & Ongena, Steven & Peydró, José-Luis & Saurina, Jesús, 2012. "Credit Supply and Monetary Policy: Identifying the Bank Balance-Sheet Channel with Loan Applications," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 102(5), pages 2301-2326.
    2. Mary Amiti & David E. Weinstein, 2018. "How Much Do Idiosyncratic Bank Shocks Affect Investment? Evidence from Matched Bank-Firm Loan Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 525-587.
    3. Asim Ijaz Khwaja & Atif Mian, 2008. "Tracing the Impact of Bank Liquidity Shocks: Evidence from an Emerging Market," American Economic Review, American Economic Association, vol. 98(4), pages 1413-1442, September.
    4. Del Giovane, Paolo & Eramo, Ginette & Nobili, Andrea, 2011. "Disentangling demand and supply in credit developments: A survey-based analysis for Italy," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2719-2732, October.
    5. Mary Amiti & David E. Weinstein, 2013. "How much do bank shocks affect investment? Evidence from matched bank-firm loan data," Staff Reports 604, Federal Reserve Bank of New York.
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    Citations

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    Cited by:

    1. Barbieri, Claudio & Couaillier, Cyril & Perales, Cristian & Rodriguez d’Acri, Costanza, 2022. "Informing macroprudential policy choices using credit supply and demand decompositions," Working Paper Series 2702, European Central Bank.
    2. Philipp Meinen & Ana Cristina Soares, 2022. "Markups and Financial Shocks," The Economic Journal, Royal Economic Society, vol. 132(647), pages 2471-2499.
    3. Ozan Güler & Mike Mariathasan & Klaas Mulier & Nejat G. Okatan, 2021. "The real effects of banks' corporate credit supply: A literature review," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1252-1285, July.

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    More about this item

    Keywords

    Credit demand shocks; Credit supply shocks; Weighted least squares;
    All these keywords.

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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