scholarly journals Money Demand in Nigeria: Application of Autoregressive Distributed Lag (ARDL) Approach

2021 ◽  
Vol 11 (4) ◽  
pp. 308-321
Author(s):  
Charles O. Manasseh ◽  
Ifeoma C. Nwakoby ◽  
Felicia C. Abada ◽  
Felix C. Alio ◽  
Ogochukwu Okanya
Keyword(s):  
Money Demand ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach

Factors Determining Gold Prices in Malaysia

2019 ◽  
Vol 1 (2) ◽  
pp. 75-82
Author(s):  
Anis Mat Dalam ◽  
Noorhaslinda Kulub Abd Rashid ◽  
Jaharudin Padli
Keyword(s):  
Crude Oil ◽  
Time Series Data ◽  
Oil Prices ◽  
Series Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Crude Oil Prices ◽  
Inflation Rates ◽  
Ardl Approach ◽  
Gold Reserve

Gold is a valuable asset to a country because of its liquidity. Gold reserve can stabilize the currency in a country. The objective of this paper is to identify the factors contributing to the volatility of gold prices, such as Real Malaysia GDP, inflation rates, crude oil prices and exchange rates. The data was analysed using Autoregressive Distributed Lag (ARDL) approach with time series data, with 30-year coverage from 1987 to 2016. Findings showed that only Real Malaysia GDP and crude oil prices were significantly related to gold prices. As a conclusion, this study can be used as reference by other investors. The author suggests to other researchers to further improve upon this study by adding more variables or diversifying the variables that relate to volatility of gold prices.

SHORT-RUN AND LONG-RUN IMPACT OF INFLATION, UNEMPLOYMENT, AND ECONOMIC GROWTH TOWARDS POVERTY IN INDONESIA: ARDL APPROACH

2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani
Keyword(s):  
Economic Growth ◽  
Poverty Alleviation ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
The Government ◽  
The Impact

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 

scholarly journals Determinants of Money Supply in Nigeria

2021 ◽  
pp. 181-199
Author(s):  
Aderopo R. Adediyan
Keyword(s):  
Money Supply ◽  
Financial Liberalization ◽  
Financial Sector ◽  
Money Multiplier ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Reserve Ratio

Studies on money supply determinants focus on the Classicists or Monetarists, Keynesians and post-Keynesians variables like income and money multiplier. This research extends the literature on money supply determinants to include the influence of financial liberalization on money supply with a reference to Nigeria between 1980 and 2019, using the Autoregressive Distributed Lag (ARDL) approach. Data used for the study were collected from the 2019 CBN Annual Statistical Bulletin. The study found that financial liberalization is an important factor in determining money supply in Nigeria, in addition to currency ratio, required reserve ratio and high-powered money. As a result, the extent of the liberalization of the financial sector matters in decisions on the regulation of money supply in the economy.

scholarly journals Role of Advertising Expenditure as an Influential Non-traditional Regressor in Russia’s Money Demand Specification

2019 ◽  
Vol 10 (6) ◽  
pp. 232
Author(s):  
Lee-Chea Hiew ◽  
Chin-Hong Puah ◽  
Mohammand Affendy Arip ◽  
Mei-Teing Chong
Keyword(s):  
Money Demand ◽  
Consumer Behaviour ◽  
Demand Function ◽  
Supply And Demand ◽  
Search Costs ◽  
Demand For Money ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

The term advertising refers to the strategy that affects consumer behaviour and induces higher household final consumption expenditure (HFCE), which is associated with incredibly demanding for money upon transaction usages and a reduction in search costs. The model of money demand that is stable, reliable and well defined is crucial for central banks in formulating their monetary policy to minimise the gap between the supply and demand of money. Hence, this paper examines the influence of expenditure in advertising (ADEX) towards the level of demand for money among the households in Russia. An approach known as Autoregressive distributed lag (ARDL) is opted to model the money demand function (MDF) of Russia and nine years of quarterly data from 2008 to 2016 have been used in the estimation. Empirical findings reveal that ADEX not only positively influences the Russian’s money demand in long term, its MDF also becomes more superior when the ADEX has been added. As such, this study suggests that ADEX can be taken into account as a non-traditional explanatory variable in the formulation of a stable and well-specified MDF for the case in Russia.

On the Evolutionary Interplay Between Remittances, Financial Development, and Economic Growth

2019 ◽  
pp. 78-96
Author(s):  
Ramzi Fahrani ◽  
Azza Béjaoui
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Data Series ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Stable Economy ◽  
Relationship Of ◽  
The Impact

In this chapter, the authors attempt to investigate the interaction between remittances and financial development and its impact on the economic growth over the period 1980-2016. In this respect, they apply the autoregressive distributed lag bound test (ARDL) approach on cross-country of data series from 1980 to 2016 to study the short- and long-run relationship of remittances and financial development with economic growth. The empirical results show that the direct effects of shipments on growth are significant. On the other hand, the impact of remittances on economic seems to be more significant by means of the financial development. It also shows that these shipments are more efficient in the case of a less developed informal sector, a politically stable economy, and a developed financial structure.

The Determinants of Health Expenditures in Tunisia

2018 ◽  
pp. 253-267
Author(s):  
Sami Chaabouni ◽  
Chokri Abednnadher
Keyword(s):  
Health Expenditures ◽  
Determinants Of Health ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Capita Health Expenditure ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
The One

This article examines the determinants of health expenditures in Tunisia during the period 1961-2008, using the Autoregressive Distributed Lag (ARDL) approach by Pesaran et al. (2001). The results of the bounds test show that there is a stable long-run relationship between per capita health expenditure, GDP, population ageing, medical density and environmental quality. In fact, on the one hand there are the short-run and long-run results which reveal that health care is a necessity, not a luxury good. On the other hand, results of the causality test show that there is a bidirectional causal flow from health expenditures to income, both in the short and in the long run.

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