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Panel data model comparison for empirical saving-investment relations

Author

Listed:
  • Helmut Herwartz
  • Fang Xu

Abstract

The Feldstein-Horioka puzzle has triggered a broad range of econometric specifications to investigate saving-investment (SI) relations. In this article, we attempt to determine a family of econometric models that is most suitable in explaining actual ratios of domestic investment to GDP via cross-validation techniques. Comparing between, pooled, time and country dependent specifications of the SI relation, the country dependent model is best performing. Moreover, error correction models formalizing adjustment dynamics of domestic investment ratios are markedly outperformed by static panel models. Supporting evidence for a cointegration relation between domestic saving and investment ratios is not found.

Suggested Citation

  • Helmut Herwartz & Fang Xu, 2009. "Panel data model comparison for empirical saving-investment relations," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 803-807.
  • Handle: RePEc:taf:apeclt:v:16:y:2009:i:8:p:803-807
    DOI: 10.1080/13504850701221949
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    Cited by:

    1. Chang Cai & Sandy Dall’Erba, 2021. "On the evaluation of heterogeneous climate change impacts on US agriculture: does group membership matter?," Climatic Change, Springer, vol. 167(1), pages 1-23, July.
    2. Jean Fouré & Agnès Bénassy-Quéré & Lionel Fontagné, 2012. "The Great Shift : Macroeconomic projections For the World Economy at the 2050 Horizon," Working Papers hal-00962464, HAL.
    3. Saten Kumar & B. Bhaskara Rao, 2011. "A Time‐series Approach to the Feldstein–Horioka Puzzle with Panel Data from the OECD Countries," The World Economy, Wiley Blackwell, vol. 34(3), pages 473-485, March.
    4. Lionel Fontagné & Jean Fouré, 2021. "Calibrating Long-Term Trade Baselines in General Equilibrium," World Scientific Book Chapters, in: Peter Dixon & Joseph Francois & Dominique van der Mensbrugghe (ed.), POLICY ANALYSIS AND MODELING OF THE GLOBAL ECONOMY A Festschrift Celebrating Thomas Hertel, chapter 4, pages 97-127, World Scientific Publishing Co. Pte. Ltd..
    5. Kumar, Saten, 2015. "Regional integration, capital mobility and financial intermediation revisited: Application of general to specific method in panel data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 1-17.
    6. Thomas Gries & Ha van Dung, 2014. "Household Savings and Productive Capital Formation in Rural Vietnam: Insurance vs. Social Network," Working Papers CIE 81, Paderborn University, CIE Center for International Economics.
    7. Rao, B. Bhaskara & Tamazian, Artur & Kumar, Saten, 2010. "Systems GMM estimates of the Feldstein-Horioka puzzle for the OECD countries and tests for structural breaks," Economic Modelling, Elsevier, vol. 27(5), pages 1269-1273, September.
    8. Christoph Fischer & Oliver Hossfeld & Karin Radeck, 2018. "On the Suitability of Alternative Competitiveness Indicators for Explaining Real Exports of Advanced Economies," Open Economies Review, Springer, vol. 29(1), pages 119-139, February.
    9. Jean Fouré & Agnès Bénassy-Quéré & Lionel Fontagné, 2010. "The World Economy in 2050: a Tentative Picture," Working Papers 2010-27, CEPII research center.
    10. F. Di Lascio & Simone Giannerini & Antonello Scorcu & Guido Candela, 2011. "Cultural tourism and temporary art exhibitions in Italy: a panel data analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(4), pages 519-542, November.
    11. Wei, Yong Sze & Suhaimi, rosita & Kueh, Jerome, 2016. "Analysis of International Capital Mobility in ASEAN-5 Countries: Savings- Investment Nexus," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 50(2), pages 155-165.
    12. Ha van Dung, 2014. "Short-term precaution, insurance and saving mechanisms in rural Vietnam," Working Papers CIE 82, Paderborn University, CIE Center for International Economics.
    13. Lionel Fontagné & Jean Fouré, 2017. "Value Added in Motion: Modelling World Trade Patterns at the 2035 Horizon," Development Working Papers 425, Centro Studi Luca d'Agliano, University of Milano.

    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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