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Panel data model comparison for empirical saving-investment relations

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  • Herwartz, Helmut
  • Xu, Fang

Abstract

The low capital mobility among OECD countries, signalled by a high saving-investment (SI) relation and known as the Feldstein-Horioka puzzle, has triggered a lively discussion in the empirical literature. In this paper, we compare between, pooled, time and country dependent specifications of the SI relation via cross-validation criteria. It is found that the country dependent model is best performing among the four. Secondly, error correction models are uniformly outperformed by static panel models. Thirdly, via scatter diagrams of cross section specific estimates we observe a different time evolution of SI relations for developed and developing economies.

Suggested Citation

  • Herwartz, Helmut & Xu, Fang, 2006. "Panel data model comparison for empirical saving-investment relations," Economics Working Papers 2006-06, Christian-Albrechts-University of Kiel, Department of Economics.
  • Handle: RePEc:zbw:cauewp:4350
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    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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..
    9. 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.
    10. 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.
    11. Jean Fouré & Agnès Bénassy-Quéré & Lionel Fontagné, 2010. "The World Economy in 2050: a Tentative Picture," Working Papers 2010-27, CEPII research center.
    12. 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.
    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.

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    More about this item

    Keywords

    Saving-investment relation; Feldstein-Horioka puzzle; model comparison;
    All these keywords.

    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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