Abstract
This article is tested for the hypothesis regarding the causality relationships between a macroeconomic gap, especially the investment–domestic savings’ gap, and the inflation rate. For empirical purposes, Dumitrescu and Hurlin (Econ Modell 29:1450–1460, 2012) method for Granger causality in panel data was applied to the annual series from 1995 to 2014, covering a group of 50 emerging and developing countries. The empirical findings indicated a corroboration of the tested hypothesis, according to which an increase in the macroeconomic gap is accompanied by a rise in inflation rates.
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Notes
- 1.
Although all the estimated coefficients have small values, it is important to regard them as a preliminary step. Indeed, our main goal in the present work was to assess causality relations between the studied variables. More robust measures of correlation require multiple regression analysis in panel data, thereby taking into account control variables affecting the behavior of the dependent time series across countries.
References
Clarida, R., Galí, J., & Gertler, M. (1999). The science of monetary policy: A new Keynesian perspective. Journal of Economic Literature, 37, 1661–1707.
Clark, P. B., & Laxton, D. (1995). “Exchange rate effects of fiscal consolidation” annex to World Economic Outlook IMF October.
Clark, P. B., Bartolini, L., Bayoumi, T., & Symansky, S. (1994). Exchange rates and economic fundamentals: A framework for analysis. Occasional Paper No. 115. Washington, DC: IMF.
Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29, 1450–1460.
Herzer, D. (2016). Unions and income inequality: A heterogeneous panel co-integration and causality analysis. Labour, 30, 318–346.
Holtz-Eakin, D., Newey, W., & Rosen, H. S. (1988). Estimating vector autoregressions with panel data. Econometrica, 56, 1371–1396.
Im, K., Pesaran, H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115, 53–74.
Kao, C. D. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90, 1–44.
Laxton, D., & Pesenti, P. (2003). Monetary rules for small, open, emerging economies. Journal of Monetary Economics, 50, 1109–1146.
Levin, A., Lin, C., & Chu, C. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108, 1–24.
MacDonald, R. (1997). What determines real exchange rates? The long and short for it. IMF Working Paper No. 21.
Maddala, G. S., & 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, 631–652.
Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61, 653–670.
Tugcu, C. T. (2014). Tourism and economic growth nexus revisited: A panel causality analysis for the case of the Mediterranean Region. Tourism Management, 42, 207–2012.
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Moreira, R.R. (2020). Inflation as Reflecting Macroeconomic Gaps: An Analysis for Emerging Economies. In: Tsounis, N., Vlachvei, A. (eds) Advances in Cross-Section Data Methods in Applied Economic Research. ICOAE 2019. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-38253-7_30
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DOI: https://doi.org/10.1007/978-3-030-38253-7_30
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