IDEAS home Printed from https://ideas.repec.org/a/oup/econjl/v134y2024i659p1069-1099..html
   My bibliography  Save this article

Spurious Regressions and Panel IV Estimation: Revisiting the Causes of Conflict

Author

Listed:
  • Paul Christian
  • Christopher B Barrett

Abstract

The long-recognised spurious regression problem can lead to mistaken inference in panel instrumental variable estimation. Spurious correlations arising from correlated cycles in finite time horizons can make irrelevant instruments appear strong with signable consequences for estimated instrumental variable coefficients, or interfere with valid inference of causal effects from instrumental variable coefficients estimated using relevant instruments. The inclusion of time fixed effects in interacted specifications does not always resolve these problems. We demonstrate these concerns by revisiting recent studies of the causal origins of conflict. We offer diagnostic and corrective recommendations for avoiding the pitfalls arising from time series exhibiting persistence.

Suggested Citation

  • Paul Christian & Christopher B Barrett, 2024. "Spurious Regressions and Panel IV Estimation: Revisiting the Causes of Conflict," The Economic Journal, Royal Economic Society, vol. 134(659), pages 1069-1099.
  • Handle: RePEc:oup:econjl:v:134:y:2024:i:659:p:1069-1099.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ej/uead091
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kirill Borusyak & Peter Hull & Xavier Jaravel, 2022. "Quasi-Experimental Shift-Share Research Designs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 181-213.
    2. Hull, Peter & Imai, Masami, 2013. "Economic shocks and civil conflict: Evidence from foreign interest rate movements," Journal of Development Economics, Elsevier, vol. 103(C), pages 77-89.
    3. Keller, Wolfgang, 1998. "Are international R&D spillovers trade-related?: Analyzing spillovers among randomly matched trade partners," European Economic Review, Elsevier, vol. 42(8), pages 1469-1481, September.
    4. David A. Jaeger & Theodore J. Joyce & Robert Kaestner, 2020. "A Cautionary Tale of Evaluating Identifying Assumptions: Did Reality TV Really Cause a Decline in Teenage Childbearing?," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 317-326, April.
    5. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle, November.
    6. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    7. Rodrigo Ad~ao & Michal Koles'ar & Eduardo Morales, 2018. "Shift-Share Designs: Theory and Inference," Papers 1806.07928, arXiv.org, revised Aug 2019.
    8. Christopher B. Barrett, 1998. "Food Aid: Is It Development Assistance, Trade Promotion, Both, or Neither?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 566-571.
    9. Peter C. B. Phillips, 1998. "New Tools for Understanding Spurious Regressions," Econometrica, Econometric Society, vol. 66(6), pages 1299-1326, November.
    10. Rodrigo Adão & Michal Kolesár & Eduardo Morales, 2019. "Shift-Share Designs: Theory and Inference," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1949-2010.
    11. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    12. Kelly, Morgan, 2019. "The Standard Errors of Persistence," CEPR Discussion Papers 13783, C.E.P.R. Discussion Papers.
    13. Melissa S. Kearney & Phillip B. Levine, 2015. "Media Influences on Social Outcomes: The Impact of MTV's 16 and Pregnant on Teen Childbearing," American Economic Review, American Economic Association, vol. 105(12), pages 3597-3632, December.
    14. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    15. Benjamin Born & Jörg Breitung, 2016. "Testing for Serial Correlation in Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(7), pages 1290-1316, August.
    16. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    17. Morgan Kelly, 2019. "The Standard Errors of Persistence," Working Papers 201913, School of Economics, University College Dublin.
    18. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    19. Samuel Bazzi & Michael A. Clemens, 2013. "Blunt Instruments: Avoiding Common Pitfalls in Identifying the Causes of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 152-186, April.
    20. Jay C. Shambaugh, 2004. "The Effect of Fixed Exchange Rates on Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 301-352.
    21. Anna Mikusheva, 2007. "Uniform Inference in Autoregressive Models," Econometrica, Econometric Society, vol. 75(5), pages 1411-1452, September.
    Full references (including those not matched with items on IDEAS)

    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. Levai, Adam & Turati, Riccardo, 2024. "International Immigration and Labor Regulation," IZA Discussion Papers 16929, Institute of Labor Economics (IZA).
    2. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    3. Kirill Borusyak & Peter Hull & Xavier Jaravel, 2023. "Design-Based Identification with Formula Instruments: A Review," NBER Working Papers 31393, National Bureau of Economic Research, Inc.
    4. Adam Levai & Riccardo Turati, 2021. "The Impact of Immigration on Workers’ Protection," LIDAM Discussion Papers IRES 2021021, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES), revised 07 Sep 2021.
    5. Singer, Gregor, 2024. "Complementary inputs and industrial development: can lower electricity prices improve energy efficiency?," LSE Research Online Documents on Economics 122365, London School of Economics and Political Science, LSE Library.
    6. McNeil, Andrew & Luca, Davide & Lee, Neil, 2023. "The long shadow of local decline: Birthplace economic adversity and long-term individual outcomes in the UK," Journal of Urban Economics, Elsevier, vol. 136(C).
    7. César, Andrés & Falcone, Guillermo & Gasparini, Leonardo, 2021. "Costs and benefits of trade shocks: Evidence from Chilean local labor markets," Labour Economics, Elsevier, vol. 73(C).
    8. Phillips, Peter C.B., 2005. "Challenges of trending time series econometrics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 401-416.
    9. Bohnet, Lara & Peralta, Susana & Pereira dos Santos, João, 2022. "Cousins from Overseas: The Labour Market Impact of a Major Forced Return Migration Shock," IZA Discussion Papers 15595, Institute of Labor Economics (IZA).
    10. Peter C. B. Phillips, 2003. "Laws and Limits of Econometrics," Economic Journal, Royal Economic Society, vol. 113(486), pages 26-52, March.
    11. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    12. Cavallini, Flavia, 2024. "Not the right time for children: Unemployment, fertility, and abortion," Labour Economics, Elsevier, vol. 87(C).
    13. Büchler, Simon & Ehrlich, Maximilian v. & Schöni, Olivier, 2021. "The amplifying effect of capitalization rates on housing supply," Journal of Urban Economics, Elsevier, vol. 126(C).
    14. Peter C. B. Phillips & Xiaohu Wang & Yonghui Zhang, 2019. "HAR Testing for Spurious Regression in Trend," Econometrics, MDPI, vol. 7(4), pages 1-28, December.
    15. Komarek, Timothy M. & Butts, Kyle & Wagner, Gary A., 2022. "Government Contracting, Labor Intensity, and the Local Effects of Fiscal Consolidation: Evidence from the Budget Control Act of 2011," Journal of Urban Economics, Elsevier, vol. 132(C).
    16. Benjamin Balsmeier & Lee Fleming & Matt Marx & Seungryul Ryan Shin, 2020. "Startups, Unicorns, and the Local Inflow of Inventors," NBER Working Papers 27605, National Bureau of Economic Research, Inc.
    17. Parag Mahajan, 2021. "Immigration and Local Business Dynamics: Evidence from U.S. Firms," Working Papers 21-18, Center for Economic Studies, U.S. Census Bureau.
    18. Mattia Filomena & Matteo Picchio & Alessia Lo Turco, 2024. "Trade exposure, immigrants and workplace injuries," Working Papers 488, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    19. Committee, Nobel Prize, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
    20. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's 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:oup:econjl:v:134:y:2024:i:659:p:1069-1099.. 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: Oxford University Press or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    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.