scholarly journals Money Demand in a Dollarized Economy: Evidence from Laos PDR

2019 ◽  
Vol 18 (1) ◽  
pp. 99-115
Author(s):  
Phouphet Kyophilavong ◽  
Gazi Salah Uddin ◽  
Muhammad Shahbaz ◽  
Charles Harvie ◽  
Teerawat Charoenrat
Keyword(s):  
Exchange Rate ◽  
Money Demand ◽  
Structural Breaks ◽  
Demand Function ◽  
Correction Method ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Money Demand Function ◽  
Distributed Lag ◽  
The Exchange Rate

This paper uses a time series perspective to examine the determinants and stability of the money demand function in the case of Laos PDR. An autoregressive distributed lag bounds testing approach to cointegration in the presence of structural breaks and Granger causality in a vector error correction method framework are applied to data covering the period 1992:Q1 to 2013:Q4. The results indicate that the money demand function is stable when exchange rate fluctuations are incorporated, and the causality analysis reveals that there is a feedback effect between money demand and the exchange rate in the long run. This implies that the exchange rate plays an important role in influencing money demand in the case of a dollarized economy such as that of Laos.

scholarly journals Structural Breaks dan Ketidakstabilan Permintaan Uang di Indonesia

2017 ◽  
Vol 17 (2) ◽  
pp. 169-183
Author(s):  
Deviyantini Deviyantini ◽  
Iman Sugema ◽  
Tony Irawan
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Money Demand ◽  
Structural Breaks ◽  
Demand Function ◽  
Series Data ◽  
Time Varying ◽  
Money Demand Function ◽  
Time Varying Parameter

Structural Breaks and Instability of Money Demand in IndonesiaThis research aims to identify the sources of instability of the money demand function (M1 and M2) due to structural changes that occur as a result of economic shocks. These shocks, are technically shown by the presence of structural breaks in the data and can lead the parameters non-constancy. The instability of the money demand function was analyzed using the Gregory and Hansen test. The source of instability of the money demand was identified using time varying parameter model. This research used quarterly time series data from 1993Q1 to 2013Q4. The result of Gregory and Hansen test indicates there is no long term equilibrium between variables (money demand, income, domestic interest rate, foreign interest rate, exchange rate, and inflation) in the model, neither M1 nor M2 model. On the other word, money demand function is unstable. The source of the instability is exchange rate variable.Keywords: Stability Money Demand; Structural Breaks; Time Varying Parameter ModelAbstrakPenelitian ini bertujuan untuk mengidentifikasi sumber-sumber ketidakstabilan fungsi permintaan uang (M1 dan M2) akibat dari perubahan struktural yang terjadi karena adanya guncangan ekonomi. Guncangan tersebut, yang secara teknis ditunjukkan oleh keberadaan structural breaks di dalam data, dapat menyebabkan parameter menjadi tidak konstan. Ketidakstabilan fungsi permintaan uang dianalisis dengan menggunakan Gregory and Hansen test. Sumber ketidakstabilan dari permintaan uang diidentifikasi dengan menggunakan time varying parameter model. Penelitian ini menggunakan data time series dalam bentuk kuartalan dari 1993Q1 sampai 2013Q4. Hasil Gregory and Hansen test menunjukkan bahwa tidak ada keseimbangan jangka panjang di antara variabel-variabel (permintaan uang, pendapatan, suku bunga domestik, suku bunga luar negeri, nilai tukar, dan inflasi) di dalam model, baik pada model M1 maupun M2. Dengan kata lain, fungsi permintaan uang tidak stabil. Sumber ketidakstabilan tersebut berasal dari variabel nilai tukar.

scholarly journals The Impact of Financial Innovation on the Money Demand Function: An Empirical Verification in India

2020 ◽  
Vol 14 (1) ◽  
pp. 28-61 ◽  
Author(s):  
Masudul Hasan Adil ◽  
Neeraj Hatekar ◽  
Pravakar Sahoo
Keyword(s):  
Money Demand ◽  
Demand Function ◽  
Financial Innovation ◽  
Jel Classification ◽  
Parameter Estimates ◽  
Correlated Errors ◽  
Bounds Testing ◽  
Money Demand Function ◽  
Long Run ◽  
The Impact

Traditional money demand functions are often criticized for persistent over-prediction, implausible parameter estimates, highly serially correlated errors and unstable money demand. This study argues that some of these problems may have emerged for the lack of factoring financial innovation into the money demand function. This study estimates money demand for India during the post-reform period, from 1996:Q2 to 2016:Q3. The money demand function is estimated with the linear ARDL approach to cointegration developed by Pesaran, Shin, & Smith (2001), Bounds testing approaches to the analysis of level relationships, Journal of Applied Econometrics, 16(3), 289–326, after employing various proxies for financial innovation. In conclusion, the study finds that there is a stable long-run relationship among variables, such as real money balances, and the scale and opportunity cost variables. In a nutshell, the study assesses the relative importance of financial innovation variables in the money demand equation, and finds that financial innovation plays a very significant role in the money demand specification and its stability. JEL Classification: E41, E44, E42, E52, O16, O53

scholarly journals Financial Development and Money Demand Function: Cointegration, Causality and Variance Decomposition Analysis for Pakistan

2017 ◽  
Vol 18 (4) ◽  
pp. 811-824 ◽  
Author(s):  
Muhammad Ahad
Keyword(s):  
Exchange Rate ◽  
Financial Development ◽  
Money Demand ◽  
Industrial Production ◽  
Unit Root ◽  
Demand Function ◽  
Decomposition Analysis ◽  
Money Demand Function ◽  
Long Run ◽  
Short Run

This study has investigated money demand function incorporating financial development, industrial production, income and exchange rate for Pakistan for time span from 1972 to 2012. Bayer–Hanck combined cointegration and Johansen cointegration approaches have been used to test cointegration among variables and vector error correction model (VECM) approach has been applied to explain the direction of causality in the long run and short run. Unit root problem has been tested by augmented Dickey–Fuller (ADF) and Phillips–Perron (PP) unit root tests. The results indicate that feedback effect is found between financial development and money demand. There is a long-run relationship existing among money demand, financial development, income, industrial production and exchange rate. Financial development is the main factor to determine money demand function in both long run and short run.

scholarly journals Structural Breaks, Stability and Demand for Money in South Africa

2015 ◽  
Vol 7 (5(J)) ◽  
pp. 79-90
Author(s):  
Sambulo Malumisa
Keyword(s):  
South Africa ◽  
Money Demand ◽  
Structural Breaks ◽  
Demand Function ◽  
Money Demand Function ◽  
Correction Model ◽  
Cointegrating Vector ◽  
Long Run ◽  
Maximum Likelihood Procedure ◽  
Policy Shifts

The paper tests the null hypothesis of a stable long-run money demand in South Africa over the period 1970-2013. We employ the Gregory-Hansen (GH) method to test for the possibility of structural breaks in the money demand function. The Johansen Maximum likelihood procedure is carried out to determine the cointegration vector from which existence of one cointegrating vector is supported. Also based on the GH criterion, there is existence of one cointegrating vector. GH proposes three structural breaks for the money demand function. Results suggest that endogenous breaks occurred in 1991 and 1994. The GH cointegration equations reject M1 whilst M2 and M3 pass and we proceed to estimate the error-correction model. Complemented by the CUSUM and CUSUM of squares, the tests carried out suggest that monetary policy shifts did not introduce instability.

scholarly journals THE IMPACT OF GLOBALIZATION ON CO2 EMISSIONS IN CHINA

2017 ◽  
Vol 62 (04) ◽  
pp. 929-957 ◽  
Author(s):  
MUHAMMAD SHAHBAZ ◽  
SALEHEEN KHAN ◽  
AMJAD ALI ◽  
MITA BHATTACHARYA
Keyword(s):  
Structural Breaks ◽  
Correction Method ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Bounds Testing ◽  
Coal Consumption ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Auto Regressive ◽  
The Impact

This paper examines the environmental kuznets curve (EKC) hypothesis for China in the presence of globalization. We have applied Bayer and Hanck combined cointegration test as well as the auto regressive distributed lag (ARDL) bounds testing approach to cointegration by accommodating structural breaks in the series. The causal relationship among the variables is investigated by applying the vector error correction method (VECM) causality framework. The study covers the period of 1970–2012. The results confirm the presence of cointegration among the variables. Furthermore, the EKC hypothesis is valid in China both in short and long runs. Coal consumption increases carbon dioxide (CO2) emissions significantly. The overall index and sub-indices of globalization indicate that globalization in China is decreasing CO2 emissions. The causality results reveal that economic growth causes CO2 emissions confirming the existence of the EKC hypothesis. The feedback effect exists between coal consumption and CO2 emissions. CO2 emissions Granger causes globalization (social, economic and political).

scholarly journals STRUCTURAL BREAKS DAN KETIDAKSTABILAN PERMINTAAN UANG DI INDONESIA

2018 ◽  
Vol 6 (2) ◽  
pp. 47-60
Author(s):  
Deviyantini Deviyantini ◽  
Iman Sugema ◽  
Tony Irawan
Keyword(s):  
Money Demand ◽  
Structural Breaks ◽  
Structural Changes ◽  
Demand Function ◽  
Time Series Data ◽  
Series Data ◽  
Time Varying ◽  
Economic Shocks ◽  
Money Demand Function ◽  
Time Varying Parameter

This research aims to identify the sources of instability of the money demand function (M1 and M2) due to structural changes that occur as a result of economic shocks. These shocks are technically shown by the presence of structural breaks in the data and can lead the parameters non-constancy. The instability of the money demand function was analyzed using the Gregory and Hansen test. The source of instability of the money demand was identified using time varying parameter model. This research used quarterly time series data from 1993Q1 to 2013Q4. The results show that the money demand function (M1 dan M2) is not cointegrated (unstable) and the source of the instability is exchange rate variable. Keywords: Stability money demand, Structural breaks, Time varying parameter model

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