IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v151y2017icp19-22.html
   My bibliography  Save this article

The Amiti–Weinstein estimator: An equivalence result

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176516304992
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2016.11.039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Philipp Meinen & Ana Cristina Soares, 2022. "Markups and Financial Shocks," The Economic Journal, Royal Economic Society, vol. 132(647), pages 2471-2499.
    2. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lorenzo Burlon & Davide Fantino & Andrea Nobili & Gabriele Sene, 2016. "The quantity of corporate credit rationing with matched bank-firm data," Temi di discussione (Economic working papers) 1058, Bank of Italy, Economic Research and International Relations Area.
    2. Andrea Orame, 2020. "The role of bank supply in the Italian credit market: evidence from a new regional survey," Temi di discussione (Economic working papers) 1279, Bank of Italy, Economic Research and International Relations Area.
    3. Dwenger, Nadja & Fossen, Frank & Simmler, Martin, 2015. "From financial to real economic crisis. Evidence from individual firm-bank relationships in Germany," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113000, Verein für Socialpolitik / German Economic Association.
    4. Ongena, Steven & Peydró, José-Luis & Horen, Neeltje van, 2015. "Shocks Abroad, Pain at Home? Bank-Firm Level Evidence on the International Transmission of Financial Shocks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 63(4), pages 698-750.
    5. Ricci, Lorenzo & Soggia, Giovanni & Trimarchi, Lorenzo, 2023. "The impact of bank lending standards on credit to firms," Journal of Banking & Finance, Elsevier, vol. 152(C).
    6. João Amador & Arne J. Nagengast, 2015. "The Effect of Bank Shocks on Firm-Level and Aggregate Investment," Working Papers w201515, Banco de Portugal, Economics and Research Department.
    7. Andrea Orame, 2023. "Bank Lending and the European Debt Crisis: Evidence from a New Survey," International Journal of Central Banking, International Journal of Central Banking, vol. 19(1), pages 243-300, March.
    8. HOSONO Kaoru & MIYAKAWA Daisuke, 2014. "Business Cycles, Monetary Policy, and Bank Lending: Identifying the bank balance sheet channel with firm-bank match-level loan data," Discussion papers 14026, Research Institute of Economy, Trade and Industry (RIETI).
    9. Nadja Dwenger & Frank M Fossen & Martin Simmler, 2015. "From financial to real economic crisis: evidence from individual firm¨Cbank relationships in Germany," Working Papers 1516, Oxford University Centre for Business Taxation.
    10. Gambacorta, Leonardo & Sette, Enrico & Banerjee, Ryan, 2017. "The real effects of relationship lending," CEPR Discussion Papers 12340, C.E.P.R. Discussion Papers.
    11. Banerjee, Ryan N. & Gambacorta, Leonardo & Sette, Enrico, 2021. "The real effects of relationship lending✰," Journal of Financial Intermediation, Elsevier, vol. 48(C).
    12. Dwenger, Nadja & Fossen, Frank M. & Simmler, Martin, 2020. "Firms’ financial and real responses to credit supply shocks: Evidence from firm-bank relationships in Germany," Journal of Financial Intermediation, Elsevier, vol. 41(C).
    13. Peydró, José-Luis & Jiménez, Gabriel & Kenan, Huremovic & Moral-Benito, Enrique & Vega-Redondo, Fernando, 2020. "Production and financial networks in interplay: Crisis evidence from supplier-customer and credit registers," CEPR Discussion Papers 15277, C.E.P.R. Discussion Papers.
    14. Peydró, José-Luis & Jasova, Martina & Mendicino, Caterina & Panetti, Ettore & Supera, Dominik, 2021. "Monetary Policy, Labor Income Redistribution and the Credit Channel: Evidence from Matched Employer-Employee and Credit Registe," CEPR Discussion Papers 16549, C.E.P.R. Discussion Papers.
    15. Gric, Zuzana & Ehrenbergerova, Dominika & Hodula, Martin, 2022. "The power of sentiment: Irrational beliefs of households and consumer loan dynamics," Journal of Financial Stability, Elsevier, vol. 59(C).
    16. Valentina Michelangeli & José-Luis Peydró & Enrico Sette, 2021. "Borrower versus Ban Channels in Lending: Experimental- and Administrative-Based Evidence," Working Papers 1307, Barcelona School of Economics.
    17. Sanders, Emiel & Simoens, Mathieu & Vander Vennet, Rudi, 2024. "Curse and blessing: The effect of the dividend ban on euro area bank valuations and syndicated lending," Journal of Banking & Finance, Elsevier, vol. 163(C).
    18. Doerr, Sebastian & Raissi, Mehdi & Weber, Anke, 2018. "Credit-supply shocks and firm productivity in Italy," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 155-171.
    19. Jeremy Franklin & May Rostom & Gregory Thwaites, 2020. "The Banks that Said No: the Impact of Credit Supply on Productivity and Wages," Journal of Financial Services Research, Springer;Western Finance Association, vol. 57(2), pages 149-179, April.
    20. Ivashina, Victoria & Laeven, Luc & Moral-Benito, Enrique, 2022. "Loan types and the bank lending channel," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 171-187.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:151:y:2017:i:c:p:19-22. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.