IDEAS home Printed from https://ideas.repec.org/p/fip/fedlwp/94511.html
   My bibliography  Save this paper

The Sine Aggregatio Approach to Applied Macro

Author

Abstract

We develop a method to use disaggregate data to conduct causal inference in macroeconomics. The approach permits one to infer the aggregate effect of a macro treatment using regional outcome data and a valid instrument. We estimate a macro effect without (sine) the aggregation (aggregatio) of the outcome variable. We exploit cross-equation parameter restrictions to increase precision relative to traditional, aggregate series estimates and provide a method to assess robustness to departures from these restrictions. We illustrate our method via estimating the jobs effect of oil price changes using regional manufacturing employment data and an aggregate oil supply shock.

Suggested Citation

  • Timothy G. Conley & Bill Dupor & Mahdi Ebsim, 2022. "The Sine Aggregatio Approach to Applied Macro," Working Papers 2022-014, Federal Reserve Bank of St. Louis, revised 11 Nov 2022.
    • Handle: RePEc:fip:fedlwp:94511
    DOI: 10.20955/wp.2022.014
    as

    Download full text from publisher

    File URL: https://s3.amazonaws.com/real.stlouisfed.org/wp/2022/2022-014.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.20955/wp.2022.014?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. Emi Nakamura & J?n Steinsson, 2014. "Fiscal Stimulus in a Monetary Union: Evidence from US Regions," American Economic Review, American Economic Association, vol. 104(3), pages 753-792, March.
    2. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, 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. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    2. KAMKOUM, Arnaud Cedric, 2023. "The Federal Reserve’s Response to the Global Financial Crisis and its Effects: An Interrupted Time-Series Analysis of the Impact of its Quantitative Easing Programs," Thesis Commons d7pvg, Center for Open Science.
    3. Zamani, Mehrzad, 2007. "Energy consumption and economic activities in Iran," Energy Economics, Elsevier, vol. 29(6), pages 1135-1140, November.
    4. Alberto Fuertes & Simón Sosvilla-Rivero, 2019. "“Forecasting emerging market currencies: Are inflation expectations useful?”," IREA Working Papers 201918, University of Barcelona, Research Institute of Applied Economics, revised Oct 2019.
    5. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    6. Jani Bekő, 2003. "Causality between exports and economic growth: empirical estimates for slovenia," Prague Economic Papers, Prague University of Economics and Business, vol. 2003(2), pages 169-186.
    7. Gossé, Jean-Baptiste & Guillaumin, Cyriac, 2013. "L’apport de la représentation VAR de Christopher A. Sims à la science économique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(4), pages 309-319, Décembre.
    8. Christian Bittner & Diana Bonfim & Florian Heider & Farzad Saidi & Glenn Schepens & Carla Soares, 2022. "The Augmented Bank Balance-Sheet Channel of Monetary Policy," ECONtribute Discussion Papers Series 149, University of Bonn and University of Cologne, Germany.
    9. Kathryn M. Dominguez, 1991. "Do Exchange Auctions Work? An Examination of the Bolivian Experience," NBER Working Papers 3683, National Bureau of Economic Research, Inc.
    10. Martin Beraja, 2017. "Counterfactual Equivalence in Macroeconomics," 2017 Meeting Papers 1400, Society for Economic Dynamics.
    11. Amuedo-Dorantes, Catalina & Arenas-Arroyo, Esther & Sevilla, Almudena, 2018. "Immigration enforcement and economic resources of children with likely unauthorized parents," Journal of Public Economics, Elsevier, vol. 158(C), pages 63-78.
    12. René Garcia & Richard Luger & Eric Renault, 2000. "Asymmetric Smiles, Leverage Effects and Structural Parameters," Working Papers 2000-57, Center for Research in Economics and Statistics.
    13. Born, Benjamin & D'Ascanio, Francesco & Müller, Gernot & Pfeifer, Johannes, 2019. "Mr. Keynes meets the Classics: Government Spending and the Real Exchange Rate," CEPR Discussion Papers 14073, C.E.P.R. Discussion Papers.
    14. Spreen, Thomas H. & Shonkwiler, J. Scott, 1981. "Causal Relationships in the Fed Cattle Market," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 13(1), pages 149-153, July.
    15. Mr. Kadima D. Kalonji & Jan Gottschalk & Mr. Ken Miyajima, 2008. "Analyzing Determinants of Inflation When There Are Data Limitation: The Case of Sierra Leone," IMF Working Papers 2008/271, International Monetary Fund.
    16. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    17. Matthew Rognlie & Andrei Shleifer & Alp Simsek, 2018. "Investment Hangover and the Great Recession," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(2), pages 113-153, April.
    18. Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia M. Sbordone, 2021. "A Large Bayesian VAR of the United States Economy," Staff Reports 976, Federal Reserve Bank of New York.
    19. 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.
    20. Patrick Blagrave & Giang Ho & Ksenia Koloskova & Mr. Esteban Vesperoni, 2017. "Fiscal Spillovers: The Importance of Macroeconomic and Policy Conditions in Transmission," IMF Spillover Notes 2017/002, International Monetary Fund.

    More about this item

    Keywords

    aggregation; macroeconomic causal effect;

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:fedlwp:94511. 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: Anna Oates (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.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.