IDEAS home Printed from https://ideas.repec.org/a/gam/jecnmx/v1y2013i2p180-206d29001.html
   My bibliography  Save this article

Structural Panel VARs

Author

Listed:
  • Peter Pedroni

    () (Department of Economics, Schapiro Hall, 124 Hopkins Hall Dr., Williams College, Williamstown, MA 01267, USA)

Abstract

The paper proposes a structural approach to VAR analysis in panels, which takes into account responses to both idiosyncratic and common structural shocks, while permitting full cross member heterogeneity of the response dynamics. In the context of this structural approach, estimation of the loading matrices for the decomposition into idiosyncratic versus common shocks is straightforward and transparent. The method appears to do remarkably well at uncovering the properties of the sample distribution of the underlying structural dynamics, even when the panels are relatively short, as illustrated in Monte Carlo simulations. Finally, these simulations also illustrate that the SVAR panel method can be used to improve inference, not only for properties of the sample distribution, but also for dynamics of individual members of the panel that lack adequate data for a conventional time series SVAR analysis. This is accomplished by using fitted cross sectional regressions of the sample of estimated panel responses to correlated static measures, and using these to interpolate the member-specific dynamics.

Suggested Citation

  • Peter Pedroni, 2013. "Structural Panel VARs," Econometrics, MDPI, Open Access Journal, vol. 1(2), pages 1-27, September.
  • Handle: RePEc:gam:jecnmx:v:1:y:2013:i:2:p:180-206:d:29001
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2225-1146/1/2/180/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2225-1146/1/2/180/
    Download Restriction: no

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Fabio Canova & Matteo Ciccarelli, 2009. "Estimating Multicountry Var Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, August.
    3. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    4. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    5. Clarida, Richard & Gali, Jordi, 1994. "Sources of real exchange-rate fluctuations: How important are nominal shocks?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 41(1), pages 1-56, December.
    6. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    7. Forni, Mario & Lippi, Marco, 2011. "The general dynamic factor model: One-sided representation results," Journal of Econometrics, Elsevier, vol. 163(1), pages 23-28, 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. Na Hao & Peter Pedroni & Gregory Colson & Michael Wetzstein, 2017. "The linkage between the U.S. ethanol market and developing countries’ maize prices: a panel SVAR analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 48(5), pages 629-638, September.
    2. Marco Capasso & Koen Frenken & Tania Treibich, 2017. "Sectoral co-movements of employment growth at regional level," Economic Systems Research, Taylor & Francis Journals, vol. 29(1), pages 82-104, January.
    3. Mishra, Prachi & Montiel, Peter & Pedroni, Peter & Spilimbergo, Antonio, 2014. "Monetary policy and bank lending rates in low-income countries: Heterogeneous panel estimates," Journal of Development Economics, Elsevier, vol. 111(C), pages 117-131.
    4. Leyla Mammadova & Aytan Mammadova & Fuad Mammadov & Leyla Yusifzada, 2016. "Determinants of Depositors’ Behaviour: Heterogeneous Panel Estimates," Working Papers 1603, Central Bank of Azerbaijan Republic.
    5. Gamtessa, Samuel & Olani, Adugna Berhanu, 2018. "Energy price, energy efficiency, and capital productivity: Empirical investigations and policy implications," Energy Economics, Elsevier, vol. 72(C), pages 650-666.
    6. Ghassan, Hassan B. & Al-Jefri, Essam H., 2016. "الحساب الجاري للاقتصاد السعودي عبر نموذج داخلي الزمن دلائل من منهجية نموذج التقهقر الذاتي البنيوي
      [The Current Account of Saudi Economy through Intertemporal Model: Evidence from SVAR]
      ," MPRA Paper 80302, University Library of Munich, Germany, revised Jun 2017.
    7. Barajas, Adolfo & Chami, Ralph & Ebeke, Christian & Oeking, Anne, 2018. "What's different about monetary policy transmission in remittance-dependent countries?," Journal of Development Economics, Elsevier, vol. 134(C), pages 272-288.
    8. BIKAI, J. Landry & BATOUMEN M., Hardit & FOSSOUO, Armand, 2016. "Determinants of inflation in CEMAC: the role of money," MPRA Paper 89111, University Library of Munich, Germany.
    9. Peter J. Montiel & Peter Pedroni, 2019. "Trilemma-Dilemma: Constraint or Choice? Some Empirical Evidence from a Structurally Identified Heterogeneous Panel VAR," Open Economies Review, Springer, vol. 30(1), pages 1-18, February.
    10. Mammadov, Fuad, 2014. "Central Bank Credibility and Black Market Exchange Rate Premia: A Panel Time Series Analysis," MPRA Paper 65572, University Library of Munich, Germany.
    11. Jawadi, Fredj & Mallick, Sushanta K. & Sousa, Ricardo M., 2016. "Fiscal and monetary policies in the BRICS: A panel VAR approach," Economic Modelling, Elsevier, vol. 58(C), pages 535-542.
    12. Yves, Togba Boboy & Yoon, Seong-Min, 2018. "Swing in the Fed’s balance sheet policy and spillover effects on emerging Asian countries," MPRA Paper 87141, University Library of Munich, Germany.
    13. Carlos Góes, 2016. "Testing Piketty’s Hypothesis on the Drivers of Income Inequality; Evidence from Panel VARs with Heterogeneous Dynamics," IMF Working Papers 16/160, International Monetary Fund.

    More about this item

    Keywords

    panel time series; structural VAR; panel VARs;

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C - Mathematical and Quantitative Methods
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    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:gam:jecnmx:v:1:y:2013:i:2:p:180-206:d:29001. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (XML Conversion Team). General contact details of provider: https://www.mdpi.com/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.