Saving-Investment Connection: Evidence from the Asean Countries

2001 ◽  
Vol 45 (1) ◽  
pp. 46-53 ◽  
Author(s):  
Emmanuel Anoruo

The relationship between saving and investment has been sharply debated in the literature following the pioneering work of Feldstein and Horioka (1980). This paper extends this debate to the ASEAN countries by using cointegration procedure in time-series analysis. Specifically, three analyses are conducted. First, saving and investment are tested to determine the order of integration using both the Dickey–Fuller (DF) and augmented Dickey–Fuller (ADF) approaches. Second, the long-run equilibrium relationship between saving and investment is explored by utilizing the cointegration tests proposed by Johansen and Juselius (1990). Third, Granger–causality tests based on vector error-correction models (VECM) are undertaken to ascertain the direction of causality between the two series. The results indicate that saving and investment are integrated of order one [1(1)]. Based on the cointegration results, saving and investment are found to share long-run equilibrium association. The Granger-causality tests reveal that investment causes saving in the cases of Indonesia and Singapore. For the Philippines, causality runs from saving to investment. As for Malaysia and Thailand, the results suggest bi-directional causality between saving and investment.

2016 ◽  
Vol 6 (2) ◽  
pp. 30
Author(s):  
Jiayi Huang ◽  
Miguel D. Ramirez

This paper examines the relationship between exports and economic output for five major Asian economies using annual data in an expanded data set and employing unit root and cointegration analysis. It employs a Vector Error Correction Model (VECM) that treats all variables in the modified production function as potentially endogenous and then determines via weak exogeneity tests whether some of the key variables can be treated as exogenous (omitted from the system). Johansen cointegration tests find a positive long-run relationship between exports and economic output for the Philippines, Singapore, and Thailand. Cointegration tests find a negative long-run relationship between exports and economic output for India. The Block Granger causality tests and impulse response functions for the Philippines and Singapore find stronger causality from exports to economic output rather than the reverse. Granger causality tests in level form also find significant causality from exports to economic output. No causality exists between exports and economic output in the case of India. Exports seem to promote economic growth in three of the four countries that have cointegrated data, which supports the exports-led growth hypothesis found in some of the extant literature. The paper does not find cointegration for China because the variables are integrated of different orders from I(0) to I(2). 


2011 ◽  
Vol 56 (01) ◽  
pp. 79-95 ◽  
Author(s):  
RUHUL A. SALIM ◽  
MOHAMMAD A. HOSSAIN

This article empirically re-examines the export-led growth hypothesis in the context of Bangladesh using the quarterly data from 1973:1 to 2005:4. The standard time series econometric techniques, such as cointegration and Granger causality tests within the error correction modelling (ECM) are used for this purpose. The results from cointegration analysis suggest that there is stable long-run relationship between exports and income and the results from Granger causality test based on the ECM shows unidirectional causal relationship between exports and income. Thus, these results validate the country's export expansion programs to achieve long-run income growth.


2018 ◽  
Vol 12 (1) ◽  
pp. 28-43 ◽  
Author(s):  
Cosimo Magazzino

Purpose This study aims to explore the relationship among energy consumption, real income, financial development and oil prices in Italy over the period 1960-2014. Design/methodology/approach Different econometric techniques – such as the General Methods of Moment (GMM) or the AutoRegressive Distributed Lags (ARDL) bounds test – are usually used in the empirical analysis. Moreover, both the Toda and Yamamoto causality tests and the Granger causality tests are applied to the data. Findings The results of unit root and stationarity tests show that the variables are non-stationary at levels, but stationary in first-differences form, or I(1). The ARDL bounds F-test reveals an evidence of a long-run relationship among the four variables at 1% significance level. Moreover, an increase in real GDP and oil prices has a significant effect on energy consumption in the long run. The coefficients of estimated error correction term are also negative and statistically significant. In addition, the paper explores the causal relationship between the variables by using a VAR framework, with Toda and Yamamoto but also Granger causality tests, within both multivariate and bivariate systems. The findings indicate that energy consumption is affected by real GDP. Originality/value The study also filled the literature gap of applying ARDL technique to examine this relevant issue for Italy.


2006 ◽  
Vol 09 (08) ◽  
pp. 1377-1396 ◽  
Author(s):  
BENJAMIN M. TABAK

This paper studies the dynamic relationship between stock prices and exchange rates in the Brazilian economy. We use recently developed unit root and cointegration tests, which allow endogenous breaks, to test for a long run relationship between these variables. We performed linear, and nonlinear causality tests after considering both volatility and linear dependence. We found that there is no long run relationship, but there is linear Granger causality from stock prices to exchange rates, in line with the portfolio approach: stock prices lead exchange rates with a negative correlation. Furthermore, we found evidence of nonlinear Granger causality from exchange rates to stock prices, in line with the traditional approach: exchange rates lead stock prices. We believe these findings have practical applications for international investors and in the design of exchange rate policies.


Author(s):  
Cyprian Clement Abur

This paper employed Granger causality tests amid infrastructure spending, economic growth, and employment in Nigeria for the period 1960-2017 using vector autoregression (VAR) model. The result showed a strong causality between infrastructure investment and economic growth in Nigeria. Findings of the study shows a strong underlying relationship between e infrastructure investment and job creation. Economic growth seems to be the key drivers of government jobs and that the private sector jobs drives growth, however, public jobs have not been able to translates into additional jobs in the economy. The bounds test results specify the presence of long-run equilibrium relationship between infrastructure investment, economic growth, job creation and output thereby providing a theoretical underpinning for the empirical results.


Author(s):  
Muhammad Asali

Vector autoregression (VAR) estimation is a vital tool in economic studies. VARs, however, can be dimensionally cumbersome and overparameterized. The vgets command allows for a general-to-specific estimation of VARs— overcoming the potential overparameterization—and provides tests for Granger causality, estimates of the long-run effects, and the cumulative impulse–response of each variable in the system; it also offers diagnostics that facilitate a genuinecausality interpretation of the Granger causality tests.


2012 ◽  
Vol 4 (8) ◽  
pp. 449-456
Author(s):  
Mohammed B. Yusoff

This research paper aims to examine the impact of zakat distribution on growth in the Federal Territory Malaysia. Specifically, an econometric study is carried out to examine the ability of zakat expenditure to affect real economic growth in the Federal Territory Malaysia by employing various econometric procedures such as the unit root tests, the cointegration tests, the vector error-correction model (VECM), and the Granger causality tests. The findings of the study suggest that zakat expenditure has a positive relationship with real GDP in the long-run. The Granger causality test indicates that zakat spending causes real economic growth with no feedback. In other words, zakat expenditure could boost GDP in the Federal Territory Malaysia both in the short-run and long-run.


2017 ◽  
Vol 5 (7) ◽  
pp. 199-213
Author(s):  
Masoud Ali Khalid ◽  
Khalid Hayder A.Ali

In this paper, we have investigated the relationship between trade openness and long-run economic growth over the sample period 1960–2015, utilizing ARDL model. We found evidence that trade openness is directly correlated with economic growth in the long run. Furthermore, Granger Causality tests recommended that a change in trade openness impacts the long-run of economic growth through the interaction with gross capital formation in the case of China.


2018 ◽  
Vol 35 (4) ◽  
pp. 505-524
Author(s):  
Hiroyuki Kawakatsu ◽  
Mikiko Oliver

Purpose This study aims to examine the relation between population composition and financial market variables in post-war Japan. Design/methodology/approach Cointegration and Granger causality tests are applied to annual data for the period 1948-2015. Findings Accounting for nonstationarity, this study finds long-run equilibrium relations between real financial price (stock and house) indices and the proportion of population in the prime earning (45-64) or retirement (65+) age. Granger causality tests that account for possibly nonstationary variables find some evidence of dynamic causation running from the 45-64 cohort to the real financial price indices. No such evidence is found for the 65+ cohort. Originality/value This study complements the existing literature primarily based on US data with analysis of Japanese data that has some unique population composition features.


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