scholarly journals An Investigation into the Interest Elasticity of Demand for Money in Developing Countries: A Panel Data Approach

2017 ◽  
Vol 9 (3) ◽  
pp. 69 ◽  
Author(s):  
Felix S. Nyumuah

The issue as to whether the interest rate influences the demand for money in developing countries is still controversial. The aim of this study is to attempt to resolve this controversy. The study uses panel data from eight African countries to look at the interest elasticity of demand for money in developing countries. The countries used in the study are Angola (ANG), Equatorial Guinea (EQG), Gambia (GMB), Guinea-Bissau (GBS), Kenya (KNY), Mali (MLI), Nigeria (NGR) and Uganda (UGD). Overall, the study finds the interest rate to be inelastic in the short run but elastic in the long run. This finding suggests that monetary policy is ineffective in developing countries in the long run.

2019 ◽  
Vol 1 (1) ◽  
pp. 131
Author(s):  
Zul Azhar ◽  
Alpon Satrianto ◽  
Nofitasari Nofitasari

This study aims to analyze the effect of money supply M2, interest rate, government spending and local tax on the inflation in West Sumatera. This type of research is descriptive research and secondary datain the form of time-series from quartely 1 2007 to 2017 quartely 4 using the method of Autoregresive Distributed Lag analysis. The results of this study indicate that money supply in the long run have a significant and positive effect on inflation West Sumatera. In the short run  and long run the interest rate has a significant and positive effect on inflation in West Sumatera. Government spending in the Long run has a significant and negative effect on inflation in West Sumatera. Based on the result of this study can be concluded that there is inflation in West Sumatera is monetery of phenomenon in the long run. 


Author(s):  
Pujan Adhikari

This paper examines the long run and short-run dynamics relationship between broad money, consumption expenditure, capital stock and interest rate in Nepal over the period of 1975-2017. This paper employs ARDL bound testing approach for co-integration between the broad money demand and its determinants. Result reveals the evidence of cointegration among the variables. The empirical results show that the demand for money is affected by the interest rate and final consumption expenditure both in the long run and short-run. However, the gross fixed capital formation has no impact on demand for money in the long-run and short-run as well. On contrast, interest rate is positively associated with Broad money demand, which is not consistent with theoretically. Positive association of money demand with interest rate shows that demand for money function is instability in Nepal. Thus, this study suggests that policy maker to correct price fluctuation through the control of various expenditure components, particularly, real final consumption expenditure might be an important strategy in the long run. However, the gross fixed capital formation has no impact on demand for money in the long-run.


2004 ◽  
Vol 94 (5) ◽  
pp. 1303-1327 ◽  
Author(s):  
Louis J Maccini ◽  
Bartholomew J Moore ◽  
Huntley Schaller

This paper presents a model that provides an explanation, based on regime switching in the real interest rate and learning, of why tests based on stock-adjustment models, Euler equations, or decision rules—which emphasize short-run fluctuations in inventories and the interest rate—are unlikely to uncover a negative relationship between inventories and the real interest rate. The model, however, predicts that inventories will respond to long-run movements, that is, to regime shifts in the real interest rate. Tests emphasizing cointegration techniques confirm this prediction and show a significant long-run relationship between inventories and the real interest rate.


2020 ◽  
Vol 14 (1) ◽  
pp. 91-112
Author(s):  
E. A. OLUBIYI ◽  
F. KOLADE ◽  
D. A. DAIRO

This study investigates the effect of exchange rate movement on export of five selected agricultural products, in five emerging countries in Africa. Autoregressive Distributed Lag (ARDL) method was employed to analyse the data spanning 1995 to 2015. It was found that, in the short run, exchange rate has a mixed effect on the product across countries, that is, in some products and countries, exchange rate affects export positively, while in some countries and product exchange rate movement has a negative effect on export.  Further, exchange rate does not have long run effect on sugar and fruits and nuts in most of the countries.  Consequently, it is recommended that government, in countries where exchange rate depreciation increases export, should maintain depreciation. Further, there should be provision of adequate infrastructure that will enhance agricultural production.   In the same vein, interest rate on loans given to farmers should be minimal, so as to encourage borrowing to finance agricultural production.  This recommendation is mostly relevant to countries where interest rate affects export negatively.    


2018 ◽  
Vol 10 (12) ◽  
pp. 4655 ◽  
Author(s):  
Maria Cipollina ◽  
Nadia Cuffaro ◽  
Giovanna D’Agostino

Increasing commercial pressure on land may lead to land concentration in developing countries, especially in the context of complex systems of property rights. In this article we review through meta-analysis (MA) the econometric findings of the literature estimating the nexus between land inequality and economic growth. In particular, our MA controls for various features of the studies and for the so-called “publication bias,” and shows that land-inequality negatively affects economic growth, especially at low development levels. Analysis based on panel data, which generally imply a relatively short run perspective, typically report a lower or positive correlation between land inequality and growth, suggesting that the negative impact of land inequality emerges in the long run, possibly through credit constraints and institutional mechanisms.


2021 ◽  
Vol 14 (6) ◽  
pp. 277
Author(s):  
Muhammad Azmat Hayat ◽  
Huma Ghulam ◽  
Maryam Batool ◽  
Muhammad Zahid Naeem ◽  
Abdullah Ejaz ◽  
...  

This research is the earliest attempt to understand the impact of inflation and the interest rate on output growth in the context of Pakistan using the wavelet transformation approach. For this study, we used monthly data on inflation, the interest rate, and industrial production from January 1991 to May 2020. The COVID-19 pandemic has affected economies around the world, especially in view of the measures taken by governmental authorities regarding enforced lockdowns and social distancing. Traditional studies empirically explored the relationship between these important macroeconomic variables only for the short run and long run. Firstly, we employed the autoregressive distributed lag (ARDL) cointegration test and two causality tests (Granger causality and Toda–Yamamoto) to check the cointegration properties and causal relationship among these variables, respectively. After confirming the long-run causality from the ARDL bound test, we decomposed the time series of growth, inflation, and the interest rate into different time scales using wavelet analysis which allows us to study the relationship among variables for the very short run, medium run, long run, and very long run. The continuous wavelet transform (CWT), the cross-wavelet transform (XWT), cross-wavelet coherence (WTC), and multi-scale Granger causality tests were used to investigate the co-movement and nature of the causality between inflation and growth and the interest rate and growth. The results of the wavelet and multi-scale Granger causality tests show that the causal relationship between these variables is not the same across all time horizons; rather, it is unidirectional in the short-run and medium-run but bi-directional in the long-run. Therefore, this study suggests that the central bank should try to maintain inflation and the interest rate at a low level in the short run and medium run instead of putting too much pressure on these variables in the long-run.


Author(s):  
Sehrish Haleem ◽  
Awais Khan ◽  
Malik Adeel Ur Rahman

Through the current study it’s been tried to discuss that how fiscal sustainability is impacted by the debt which is taken by countries in order to push their economy towards prosperity and growth in Pakistan. Because the economy is considering vulnerable in terms of Public debt due to huge fiscal deficit in the economy. The ARDL approach is being applied by taking GDP as dependent variable while public debt, total revenues, government expenditures and interest rate are been taken as independent variable. The findings of the study suggested that there is strong and significant relationship exist between focused variables. Public debt is negatively associated with GDP in both short run and long run, while government expenditure give positive and significant relationship with GDP and interestingly total revenue give negative significant relationship in long run that supported the argument that the high revenues in developing nations inversely affects the investment that is pillar of GDP, so it adversely affected. The interest rate is positively significant in long run but in short run its negatively related with GDP because it affects cost of capital. The findings of study attract the attention of policy makers that we need either debt reduction strategies or either to minimize the gap between public revenues and public expenditures to promote sustain economic growth in the economy.


2016 ◽  
Vol 8 (7) ◽  
pp. 233
Author(s):  
Samih Antoine Azar ◽  
Ali Bolbol ◽  
Alexandre Mouradian

<p>The paper, instead of relying on ad hoc measures, derives a simple theoretical model for the income of a commercial bank. This model identifies eight internal exogenous factors to the profitability of these banks. A total panel of 39 banks over the twelve-year period 2003-2014 is studied. The dependent variable is taken to be the return on average total assets (ROAA). The estimation procedure is through panel least squares.  Fixed effects and random effects are considered. The results support the cross section fixed effects model, which brings to light the heterogeneity of banks in Lebanon. Four out of the eight factors are found to be statistically highly significant, explaining about 50% of the variation in ROAA. These are: the interest rate spread, the capital adequacy ratio, the cost to income ratio, and the ratio of non-interest income to total assets. Dynamics are included in the model by adding to the regressors the first lag of the dependent variable. This makes for different short run and long run impacts, with the latter found to be higher than the former as economic theory postulates. Among other recommendations banks are advised to diversify their income towards more wealth management and investment banking, to pay particular attention to their traditional source of income, which is the interest rate spread between loans and deposits, and to manage carefully their cost structure.</p>


2018 ◽  
Vol 2 (2) ◽  
pp. 79-97
Author(s):  
Agya Atabani Adi ◽  
Joshua Sunday Riti

The paper examines demand for real money balances in six West Africa countries, over the 1985-2014 periods using panel Cointegration technique. The result shows that long run money demand is positively related to real income, inflation rate and inversely related to interest rate spread, real effective exchange rate and US real interest rate. Long run income elasticity is greater than unity and less than unity in short run. All variables are significant except effective exchange rate, thus; both currency substitution and capital mobility hypotheses hold in the long run while capital mobility holds only in the short run. We recommend that monetary aggregate should growth slower than economic growth to maintain price stability, countries should try to maintained stable exchange rate and ensured market driven interest rate policy. Keyword: Demand for Money; Interest Rate Spread; Capital Mobility and Currency Substitution, Panel Analysis.JEL CODE: E41, E52, C33, O11.


2018 ◽  
Vol 4 (2) ◽  
pp. 147-156
Author(s):  
Taiwo Akinlo ◽  
Olusola Joel Oyeleke

This study examined the effect of government expenditure on private investment in Nigeria during the period 1980–2016. The error correction model analysis was used in the study to analyze the relationship between the two variables. The study found that there is a long-run relationship among the variables and that the interest rate and inflation have negative but significant impact on private investment in the long run. On the other hand, government expenditure has positive but insignificant impact on private investment in the long run. In the short run, government expenditure and interest rate have a significant positive impact on private investment in Nigeria, while GDP per capita and inflation negatively impact private investment. The study concluded that there is the need for the government to increase its expenditure particularly on the provision of more infrastructural facilities as this will attract more investment from within and outside the country.


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