IDEAS home Printed from https://ideas.repec.org/a/wly/japmet/v40y2025i7p759-787.html

Differences From Differencing: Should Local Projections With Observed Shocks Be Estimated in Levels or Differences?

Author

Listed:
  • Jeremy Piger
  • Thomas Stockwell

Abstract

We show there are large finite‐sample estimation improvements from estimating local projections (LP) in a cumulated differences (long‐differenced) specification vs. a specification in levels when the impulse response of interest is to an externally identified (“observed”) shock. The long‐differenced specification substantially reduces, and in many cases eliminates, estimation bias, as well as significantly improves confidence interval coverage. These improvements increase for more persistent processes, at longer horizons, and for smaller sample sizes and extend to the instrumental variable LP (LP‐IV) setting where the observed shock is an instrument for an endogenous variable of interest. We demonstrate these results via simulations as well as illustrative analytic results.

Suggested Citation

  • Jeremy Piger & Thomas Stockwell, 2025. "Differences From Differencing: Should Local Projections With Observed Shocks Be Estimated in Levels or Differences?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(7), pages 759-787, November.
  • Handle: RePEc:wly:japmet:v:40:y:2025:i:7:p:759-787
    DOI: 10.1002/jae.70003
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/jae.70003
    Download Restriction: no

    File URL: https://libkey.io/10.1002/jae.70003?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
    ---><---

    References listed on IDEAS

    as
    1. Barbara Rossi & Elena Pesavento, 2006. "Small-sample confidence intervals for multivariate impulse response functions at long horizons," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1135-1155.
    2. Marek Jarociński & Peter Karadi, 2020. "Deconstructing Monetary Policy Surprises—The Role of Information Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 1-43, April.
    3. Jos'e Luis Montiel Olea & Mikkel Plagborg-M{o}ller & Eric Qian & Christian K. Wolf, 2024. "Double Robustness of Local Projections and Some Unpleasant VARithmetic," Papers 2405.09509, arXiv.org, revised Jan 2026.
    4. Li, Dake & Plagborg-Møller, Mikkel & Wolf, Christian K., 2024. "Local projections vs. VARs: Lessons from thousands of DGPs," Journal of Econometrics, Elsevier, vol. 244(2).
    5. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    6. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
    7. Mikkel Plagborg‐Møller & Christian K. Wolf, 2021. "Local Projections and VARs Estimate the Same Impulse Responses," Econometrica, Econometric Society, vol. 89(2), pages 955-980, March.
    8. Barbara Rossi, 2007. "Expectations hypotheses tests at Long Horizons," Econometrics Journal, Royal Economic Society, vol. 10(3), pages 554-579, November.
    9. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-368, July.
    10. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2015. "Betting the house," Journal of International Economics, Elsevier, vol. 96(S1), pages 2-18.
    11. Harvey, A C, 1985. "Trends and Cycles in Macroeconomic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(3), pages 216-227, June.
    12. Valerie A. Ramey & Sarah Zubairy, 2018. "Government Spending Multipliers in Good Times and in Bad: Evidence from US Historical Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 850-901.
    13. Lutz Kilian & Yun Jung Kim, 2011. "How Reliable Are Local Projection Estimators of Impulse Responses?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1460-1466, November.
    14. José Luis Montiel Olea & Mikkel Plagborg‐Møller, 2021. "Local Projection Inference Is Simpler and More Robust Than You Think," Econometrica, Econometric Society, vol. 89(4), pages 1789-1823, July.
    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. Eric Fortier, 2026. "Specification Choice in Local Projections: Evidence from Monetary Policy Shocks," Discussion Papers dp26-01, Department of Economics, Simon Fraser University.
    2. Mavrogiannis, Christos & Tagkalakis, Athanasios, 2025. "The effects of structural reforms on gross capital inflows in OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 104(C).
    3. Marc Burri & Daniel Kaufmann, 2026. "Multiple monetary policy shocks from daily data: A heteroskedasticity IV approach," IRENE Working Papers 26-06, IRENE Institute of Economic Research.

    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. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," NBER Working Papers 32822, National Bureau of Economic Research, Inc.
    2. Philipp Roderweis & Jamel Saadaoui & Francisco Serranito, 2023. "The Unintended Consequences of ECB’s Asset Purchases. How Excess Reserves Shape Bank Lending," Working Papers of BETA 2023-34, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Ho, Paul & Lubik, Thomas A. & Matthes, Christian, 2024. "Averaging impulse responses using prediction pools," Journal of Monetary Economics, Elsevier, vol. 146(C).
    4. Glenn Abela & Arianna Antezza & Alissa Gorelova & Gianmarco Meta & Roberta Montebello, 2026. "The Asymmetric Effects of Monetary Policy in the Euro Area," Discussion Papers of DIW Berlin 2165, DIW Berlin, German Institute for Economic Research.
    5. Mikkel Plagborg‐Møller & Christian K. Wolf, 2021. "Local Projections and VARs Estimate the Same Impulse Responses," Econometrica, Econometric Society, vol. 89(2), pages 955-980, March.
    6. Martin Bruns & Helmut Lütkepohl, 2026. "Review of Proxy Vector Autoregressive Analysis," Reviews of Economic Literature, Stanford University Press, vol. 1.
    7. Philippe Goulet Coulombe & Karin Klieber, 2025. "Opening the Black Box of Local Projections," Papers 2505.12422, arXiv.org, revised Jul 2025.
    8. Bro de Comères, Quentin & Mugrabi, Farah & Lyons, Paul, 2025. "A Quick Stress Testing Methodology for Irish Banks," Research Technical Papers 17/RT/25, Central Bank of Ireland.
    9. Endong Wang, 2024. "Local projections identify the same policy counterfactuals as empirical and structural models," Papers 2409.09577, arXiv.org, revised Feb 2026.
    10. Herbst, Edward P. & Johannsen, Benjamin K., 2024. "Bias in local projections," Journal of Econometrics, Elsevier, vol. 240(1).
    11. Alfred A. Haug & Tomasz Łyziak & Anna Sznajderska, 2022. "The Role of the Monetary Policy Stance for the Goverment Spending Multiplier in Poland ​," KAE Working Papers 2022-080, Warsaw School of Economics, Collegium of Economic Analysis.
    12. Masahiro Tanaka, 2025. "Quasi-Bayesian Local Projections: Simultaneous Inference and Extension to the Instrumental Variable Method," Papers 2503.20249, arXiv.org, revised May 2026.
    13. Tim Willems, 2009. "Visualizing the Invisible: Estimating the New Keynesian Output Gap via a Bayesian Approach," Tinbergen Institute Discussion Papers 09-074/2, Tinbergen Institute, revised 26 Mar 2010.
    14. Mario Di Serio & Matteo Fragetta & Emanuel Gasteiger & Giovanni Melina, 2024. "The Euro Area Government Spending Multiplier in Demand‐ and Supply‐Driven Recessions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(6), pages 1342-1372, December.
    15. Jörg Breitung & Ralf Brüggemann, 2023. "Projection Estimators for Structural Impulse Responses," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(6), pages 1320-1340, December.
    16. Klieber, Karin & Coulombe, Philippe Goulet, 2025. "Opening the black box of local projections," Working Paper Series 3105, European Central Bank.
    17. Jean-Marie Dufour & Endong Wang, 2025. "Causal mechanism and mediation analysis for macroeconomics dynamics: a bridge of Granger and Sims causality," Papers 2509.05284, arXiv.org.
    18. Castro Nofal, Bastian & Díaz, Juan D. & Gutiérrez Cubillos, Pablo & Hansen, Erwin, 2024. "Stock returns and tax progressivity," Finance Research Letters, Elsevier, vol. 69(PB).
    19. Rabia Rafique & Asad Nisar & Syed Sadaqat Ali Shah, 2024. "Testing the effects of fiscal policy shocks on output growth in recession and expansion: empirical evidence from developing countries," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-26, June.
    20. NAKAJIMA, Jouchi, 2025. "Time-varying Local Projections with Stochastic Volatility," Discussion Paper Series 761, Institute of Economic Research, Hitotsubashi University.

    More about this item

    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:wly:japmet:v:40:y:2025:i:7:p:759-787. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.