Feldstein-Horioka Bulmacası: İkinci Nesil Panel Eşbütünleşme Analizi

Yıl 2019, Cilt: 20 Sayı: 1, 61 - 79, 01.01.2019

Mustafa Kızıltan Anna Golovko Ahmet Burçin Yereli

Öz

Bu çalışmada 1980-2014 dönemi için yatırım-tasarruf ilişkisi gelişmişlik seviyesine göre ülke grupları açısından toplulaştırılmış verilere dayanılarak ikinci nesil panel birim kök ve eşbütünleşme testleri yardımı ile analiz edilecektir. Bu amaçla yatırım-tasarruf ilişkisi konusunda kısa ve uzun dönem ilişkileri incelemek için sağlam bir araç olan Feldstein-Horioka Bulmacası çerçevesinde bir analiz yapılmıştır. Analiz sonuçları beklentilere paralel olarak sermaye hareketliliğinin ülke grupları arasında gelişmişlik düzeyine bağlı olarak farklılaştığını açık bir şekilde ortaya koymaktadır.

Anahtar Kelimeler

Sermaye Hareketliliği, Yatırım ve Tasarruf, Feldstein-Horioka Bulmacası, Panel Veri Analizi

Feldstein-Horioka Puzzle: Second Generation Panel Cointegration Analysis

Öz

In this study, investment-saving relationship for the period of 1980-2014 will be analyzed by second generation panel cointegration techniques based on aggregated data of country groups according to their development level. For this purpose, Feldstein-Horioka Puzzle analysis was conducted as a robust tool for examining short and long term relationships in investment-saving relationship. The results of the analysis clearly show that, as parallel to the expectations, capital mobility varies depending on the level of development among groups of countries

Anahtar Kelimeler

Capital Mobility, Investment and Saving, Feldstein-Horioka Puzzle Panel Data Analysis

Kaynakça

• Aksoy, Y., Grasl, T. ve Smith, R.P. (2012). The economic impact of demographic structure in OECD countries. Birkbeck Working Papers in Economics ve Finance, Discussion Paper, 1212.
• Aspergis, N. ve Tsoumas, C. (2009). A survey of the Feldstein-Horioka puzzle: What has been done and where we stand. Research in Economics, 63, 64-76.
• Bahmani-Oskooee, M. ve Chakrabarti, A. (2005). Openness, size, and the saving– investment relationship. Economic Systems, 29(3), 283-293.
• Bangake, C. ve Eggoh, J.C. (2012). Pooled Mean Group estimation on international capital mobility in African countries. Research in Economics, 66(1), 7–17.
• Blanchard, O. ve Giavazzi, F. (2002). Current account deficits in the Euro area: The end of the Feldstein-Horioka puzzle? Brookings Papers on Economic Activity, 2, 147-209.
• Breitung, J., ve Pesaran, M. H. (2008). Unit roots and cointegration in panels. in the econometrics of panel data. The econometrics of panel data. Springer Berlin Heidelberg, 279-322.
• Breusch, T. S., ve Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253.
• But, B ve Morley, B. (2017). The Feldstein-Horioka puzzle and capital mobility: The role of the recent financial crisis. Economic Systems, 41, 139–150.
• Chakrabarti, A. (2006). The saving-investment relationship revisited: New evidence from multivariate heterogeneous panel co-integration analyses. Journal of Comparative Economics, 34, 402-419.
• Chudik, A., Pesaran, M. H., ve Tosetti, E. (2011). Weak and strong cross‐section dependence and estimation of large panels. The Econometrics Journal, 14(1).
• Chudik, A. ve Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), 393-420.
• Chudik, A., Pesaran, M. H. ve Yang, J. C. (2018). Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors. Journal of Applied Econometrics.
• Coakley, J., Fuertes, A.M. ve Spagnolo, F. (2004). Is the Feldstein–Horioka puzzle history? Manchester School, 72, 569–590.
• Coakley, J., Kulasi, F. ve Smith, R. (1996). Current account solvency and the Feldstein-Horioka Puzzle. Economic Journal, 106, 620–627.
• Coakley, J., Kulasi, F. ve Smith, R. (1998). The Feldstein–Horioka Puzzle and Capital Mobility: A Review. International Journal of Finance and Economics, 3, 169– 188.
• De Vita G. ve Abbott A. (2002). Are Saving and Investment Cointegrated? An ARDL Bounds Testing Approach. Economics Letters, 77, 293-299.
• Dhaene, G., ve Jochmans, K. (2015). Split-panel jackknife estimation of fixed-effect models. The Review of Economic Studies, 82(3), 991-1030.
• Domeij, D. ve Floden, M. (2003). Population aging and international capital flows. SSE/EFI Working Paper Series in Economics and Finance, No. 539.
• Dooley, M., Frankel, J. ve Mathieson, D.J. (1987). International Capital Mobility: What Do Saving-Investment Correlations Tell Us? IMF Economic Review, 34(3), 503–530.
• Drakos, A. A. & Kouretas, G. P. & Vlamis, P. (2018). Saving, investment and capital mobility in EU member countries: a panel data analysis of the Feldstein–Horioka puzzle. Applied Economics, 1-14.
• Eberhardt, M. ve Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers 515, University of Oxford, Department of Economics.
• Eslamloueyan, K. ve Jafari ,M. (2010). Capital mobility, openness, and saving- investment relationship in Asia. Economic Modelling, 27(5), 1246-1252.
• Fair, R.C. ve Dominguez, K.M. (1991). Effects of the Changing U.S. Age Distribution on Macroeconomic Equations. The American Economic Review, 81(5), 1276- 1294.
• Feldstein, M. ve Bacchetta, P. (1989). National Saving and International Investment. National Bureau of Economic Research (NBER), Working paper no. 3164.
• Feldstein, M. ve Horioka, C. (1980). Domestic Savings and International Capital Flows. The Economic Journal, 90(358), 314-329.
• Fidrmuc, J. (2003). The Feldstein–Horioka Puzzle and Twin Deficits in Selected Countries. Economics of Planning, 36, 135–152.
• Fisher, R. A. (1932). Statistical Methods for Research Workers. Oliver ve Boyd, Edinburgh, 4th Edition.
• Ford, N. ve Horioka, C.Y. (2016). The ‘real’ explanation of the Feldstein–Horioka puzzle. Applied Economics Letters, 24(2), 95-97.
• Gengenbach, C., Urbain, J-P. ve Westerlund, J. (2016). Error Correction Testing in Panels with Common Stochastic Trends. Journal of Applied Econometrics, 31(6), 982-1004.
• Gutierrez, L. (2006). Panel Unit‐root Tests for Cross‐sectionally Correlated Panels: A Monte Carlo Comparison. Oxford Bulletin of Economics and Statistics, 68(4), 519-540.
• Harberger, A.C. (1980). Vignettes on the World Capital Market. The American Economic Review, Papers and Proceedings of the Ninety-Second Annual Meeting of the American Economic Association, 70(2): 331-337.
• Helliwell, J. (2004). Demographic change and international factor mobility, Global Demographic Change: Economic Impacts and Policy Changes. Federal Reserve Bank of Kansas City, Kansas City, MO, 369-420.
• Ho, T.-W. ve Chiu, R.L. (2001). Country size and investment-saving correlation: A panel threshold error correction model. Eastern Economic Journal, 27, 481-490.
• Ho, T.-W. (2003). The saving retention coefficient and country-size: The Feldstein- Horioka puzzle reconsidered. Journal of Macroeconomics, 25, 387-396.
• Horioka, C.Y. ve Terada-Hagiwara, A. (2011). The determinants and long-term projections of saving rates in developing Asia. ISER Discussion Paper, Institute of Social and Economic Research, Osaka University, No. 821.
• Hsiao, C., Pesaran, M. H., ve Pick, A. (2009). Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models. Working Paper. University of Cambridge.
• Hurlin, C., ve Mignon, V. (2007). Second Generation Panel Unit Root Tests. HAL.
• İyidoğan, P.V. ve Balıkçıoğlu, E. (2010). The Feldstein-Horioka relation in Turkey: an ARDL Bounds testing approach. Problems and Perspectives in Management, 8(4), 29-36.
• Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of economic dynamics and control, 12(2-3), 231-254.
• Johnson, M.A. ve Lamdin, D.J. (2014). Investment and saving and the euro crisis: A new look at Feldstein–Horioka. Journal of Economics and Business, 76(November–December). 101-114.
• Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of econometrics, 90(1), 1-44.
• Kao, C. ve Chiang, M. (2000). On the Estimation and Inference of a Cointegrated Regression in Panel Data. Nonstationary Panels, Panel Cointegration and Dynamic Panels, 15, 179–222.
• Ketenci, N. (2012). The Feldstein–Horioka Puzzle and structural breaks: Evidence from EU members. Economic Modelling, 29, 262-270.
• Ketenci, N. (2013). The Feldstein–Horioka puzzle in groupings of OECD members: A panel approach. Research inEconomics, 67, 76–87.
• Kibritçioğlu, A. ve Ninjbat, U. (2006). Uluslararası Sermeye Hareketliliğinin Derecesi ve Feldstein-Horioka Bilmecesi. Ankara Üniversitesi Sosyal Bilimler Enstitüsü, İktisat Yüksek Lisans Programı Seminer Çalışması.
• Kool, C.J.M. ve Keijzer, L.M. (2009). International capital mobility: linking the Feldstein–Horioka puzzle to the trade and equity home bias puzzles. Cambridge Journal of Regions, Economy and Society, 1–17.
• Ma, W. ve Li, H. (2016). Time-varying saving–investment relationship and the Feldstein–Horioka puzzle. Economic Modelling, 53, 166-178.
• Maddala, G. S., ve Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and statistics, 61(S1), 631-652.
• Masson, P.R. ve Tryon, R.W. (1990). Macroeconomic Effects of Projected Population Aging in Industrial Countries. Staff Papers (International Monetary Fund), 37(3), 453-485.
• Mikesell, R.F. ve Zinser, J.E. (1973). The Nature of the Savings Function in Developing Countries: A Survey of the Theoretical and Empirical Literature. Journal of Economic Literature, 11(1), 1-26.
• Misztal, P. (2011). The Feldstein-Horioka hypothesis in countries with varied levels of economic development. Contemporary Economics, 5(2), 16-29.
• Moscone, F., ve Tosetti, E. (2009). A Review And Comparison of Tests of Cross‐ Section Independence in Panels. Journal of Economic Surveys, 23(3), 528-561.
• Murthy, N. V. (2009). The Feldstein–Horioka puzzle in Latin American and Caribbean countries: a panel cointegration analysis. Journal of Economics and Finance, 33(2), 176.
• Newey, W. K., ve West, K. D. (1994). Automatic lag selection in covariance matrix estimation. The Review of Economic Studies, 61(4), 631-653.
• Obstfeld, M. ve Rogoff, K. (2000). The Six Major Puzzles in International Macroeconomics. Is There a Common Cause? in B.S. Bernanke and K. Rogoff, eds., NBER Macroeconomics Annual 2000. Cambridge, MA: MIT Press, 339- 390.
• Obstfeld, M. (1986). Capital Mobility in the World Economy: Theory and Measurement. Carnegie-Rochester Conference Series on Public Policy, 24, 55– 103.
• Özdemir, Z.A. ve Olgun, H. (2009). The Feldstein–Hoiroka puzzle across countries. Applied Economics, 41(2), 237-247.
• Pedroni, P. (2000). Fully Modified OLS for Heterogenous Cointegrated Panels. B. Baltagi (ed.), Nonstationary Panels, Panel Cointegration, and Dynamic Panels, Advances in Econometrics, Vol. 15, Amsterdam: JAI Press, 93–130.
• Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. University of Cambridge, Faculty of Economics, Cambridge Working Papers in Economics No. 0435.
• Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967-1012.
• Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265-312.
• Pesaran, M. H. (2015). Time series and panel data econometrics. Oxford University Press.
• Pesaran, M. H., ve Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of econometrics, 68(1), 79-113.
• Petreska, D. ve Mojsoska-Blazevski, N. (2013). The Feldstein-Horioka Puzzle and Transition Economies. Economic Annals, LVIII: 197, 23-45.
• Rao, B. B., ve Kumar, S. (2009). A panel data approach to the demand for money and the effects of financial reforms in the Asian countries. Economic Modelling, 26(5), 1012-1017.
• Rao, B.B., Tamazian, A. ve Kumar, S. (2010). Systems GMM estimates of the Feldstein–Horioka puzzle for the OECD countries and tests for structural breaks. Economic Modelling, 27, 1269–1273.
• Roubini, N. ve Sachs, J.D. (1989). Political and Economic Determinants of Budget Deficits in the Industrial Democracies. European Economic Review, 33, 903-938.
• Roubini, N. (1989). Current Account and Budget Deficits in an Intertemporal Model of Consumption and Taxation Smoothing. A Solution to the 'Feldstein-Horioka Puzzle'? Center Discussion Paper, No. 569.
• Sarafidis, V., ve Wansbeek, T. (2012). Cross-sectional dependence in panel data analysis. Econometric Reviews, 31(5), 483-531.
• Schmidt, M. B. (2003). Savings and investment in Australia. Applied Economics, 35(1), 99-106.
• Singh, T. (2013). International mobility of capital in the OECD countries: a robust evidence from panel data estimators. Applied Economics Letters, 20(7), 692-696.
• Sinha, T. ve Sinha, D. (2004). The mother of all puzzles would not go away. Economic Letters, 82, 259-267.
• So, B. S., ve Shin, D. W. (1999). Recursive mean adjustment in time-series inferences. Statistics & Probability Letters, 43(1), 65-73.
• Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and statistics, 69(6), 709-748.
• Westerlund, J., ve Edgerton, D. L. (2007). A panel bootstrap cointegration test. Economics Letters, 97(3), 185-190.
• Yalçınkaya, Ö. ve Hüseyni, İ. (2016). Tasarruf-Yatırım İlişkisi: Feldstein-Horioka Hipotezinin OECD Ülkeleri Açısından Değerlendirilmesi (1980-2013). Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 31(1), 343-369.
• Yentürk, N., Ulengin, B. ve Cimenoglu, A. (2009). An analysis of the interaction among savings, investments and growth in Turkey. Applied Economics, 41(6), 739-751.
• Younas, J. ve Chakraborty, D. (2011). Globalization and the Feldstein–Horioka puzzle. Applied Economics, 43(16), 2089-2096. Ekler