Macroeconometric modeling of saving and investment for Mercosur countries

  • Tapen Sinha Instituto Tecnológico Autónomo de México
  • Dipendra Sinha Macquarie University
Keywords: Mercosur, macroeconomic crisis, econometrics, saving and investment


In the long run, the present value of current account balance cannot grow indefinitely large without precipitating in a macroeconomic crisis. This simple insight produces an econometrically testable relationship between saving and investment. We use data for four countries, which belong to the MERCOSUR Common Trade Agreement: Argentina Brazil Paraguay and Uruguay. The results indicate that there is no long run relationship between saving and investment in these countries. Thus MERCOSUR IS likely to act as a palliative against such a possibility in the future.


Baxter, M. and M. J. Crucini (1993). “Explaining Saving-Investment Correlations”, American Economic Review, no. 83, pp. 416-436.

Blough, S. R. (1992). “The Relationship between Power and Level for Generic Unit Root Tests in Finite Samples”, Journal of Applied Econometrics, no. 7, pp. 295-308.

Coakley, J., F. Kulasi, and R. Smith (1995). Current Account Solvency and Feldstein-Horioka Puzzle, Birbeck College Discussion Paper no. 8.

The Economist Intelligence Unit (1998). Latin American at a Glance, New York.

Engle, R. F. and C. W. J. Granger (1987). “Cointegration and Error Correction: Representation, Estimation, and Testing”, Econometrica, no. 55, pp. 251-276.

Feldstein, M. (1983). “Domestic Saving and International Capital Movements in the Long Run and in the Short Run”, European Economic Review, no. 21, pp. 129-151.

Feldstein, M. and C. Horioka (1980). “Domestic Saving and International Capital Flows”, Economic Journal, no. 90, pp. 314-329.

Finn, M. G. (1991). “On Savings and Investment Dynamics in a Small Open Economy”, Journal of International Economics, no. 29, pp. 1-21.

Frankel, J. (1992). “Measuring International Capital Mobility: A Review”, American Economic Review, no. 82, pp. 197-202.

Gonzalo, J. (1994). “Cointegration and Aggregation”, Boston University (unpublished).

Granger, C. W. J. (1981). “Some Properties of Time Series Data and Their Use in Econometric Model Specification”, Journal of Econometrics, no. 16, pp. 121-130.

Husted, S. (1992). “The Emerging US Current Account Deficit in the 1980s: A Cointegration Analysis”, Review of Economics and Statistics, pp. 159-166.

Johansen, S. (1988). “Statistical Analysis of Cointegration Vectors”, Journal of Economic Dynamics and Control, no. 12, pp. 231-254.

Johansen, S. y K. Juselius (1990). “The Maximum Likelihood Estimation and Inference on Cointegration with Applications to Demand for Money”, Oxford Bulletin of Economics and Statistics, no. 52, pp. 169-210.

Mackinnon, J. G. (1991). “Critical Values for Cointegration”, in F. Engle and C. W. J. Granger (eds.), Long-run Economic Relationships: Readings in Cointegration, Oxford, Oxford University Press.

Osterwald-Lenum, M. (1992). “A Note with Fractiles of the Asymptotic Distribution of the Likelihood Rank Statistics: Four Cases”, Oxford Bulletin of Economics and Statistics, no. 54, pp. 461-472.

Phillips, P. C. B. and P. Perron (1988). “Time Series Regression with a Unit Root”, Biometrika, no. 75, pp. 335-346.

Reinsel, G. C. and A. Sung (1992). “Vector Autoregressive Models with Unit Roots and Reduced Rank Structure: Estimation, Likelihood Ratio Test, and Forecasting”, Journal of Time Series Analysis, no. 13, pp. 353-375.

Schwert, G. W. (1989). “Test for Unit Roots: A Monte Carlo Investigation”, Journal of Business and Economic Statistics, no. 7, pp. 147-160.

How to Cite
SinhaT., & SinhaD. (1998). Macroeconometric modeling of saving and investment for Mercosur countries. Estudios Económicos, 13(1), 57-72.
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