scholarly journals Asymmetric effect of income on the US healthcare expenditure: evidence from the nonlinear autoregressive distributed lag (ARDL) approach

2018 ◽  
Vol 58 (4) ◽  
pp. 1979-2008 ◽  
Author(s):  
Mehdi Barati ◽  
Hadiseh Fariditavana
2020 ◽  
Vol 14 (3) ◽  
pp. 285-308
Author(s):  
Imadeddin Ahmed Almosabbeh

The aim of this study, using Egyptian data from 1970 to 2016, is to explore the relationship between government spending and private consumption spending and to understand whether the relationship between the two is symmetric. The study uses the autoregressive distributed lag (ARDL) approach to explore a cointegration relationship between the two variables, and the nonlinear autoregressive distributed lag (NARDL) approach to test the hypothesis of a symmetric relationship between the two variables. By applying the ARDL approach, the study concludes that the effect of government spending on consumption spending is not significant in the long term. By applying the NARDL approach, the study concludes that: the hypothesis of the presence of a symmetric relationship is not accepted, there is a crowding-out relationship from the positive shocks of government spending and the substitutability coefficient between the two types of spending is 0.8699. JEL Classification: E12, E21, F62, H50


2021 ◽  
Vol 22 (2) ◽  
pp. 713-733
Author(s):  
Kwang-Jing Yii ◽  
Chai-Thing Tan ◽  
Nian-Meng Tan ◽  
Xue-Wen Teng ◽  
Ting-En Khor ◽  
...  

This study discusses the relationship between hot money and stock market in China by employing the Autoregressive Distributed Lag (ARDL) and Nonlinear Autoregressive Distributed Lag (NARDL) methods. The data used in this study is quarterly data over the period 2000: Q1 to 2017: Q4. The results show that oil price, economic growth and hot money possess a long-run relationship towards stock market in China, whereas, no effect is found from inflation. The oil price and economic growth are both positively related to stock market while there is a negative relationship from hot money. Furthermore, the study supports the existence of an asymmetric effect between hot money and stock market. The findings imply that policymakers should form better monitoring systems to control the inflow of hot money, thus, strengthening investors’ confidence and avoiding unwanted bubbles in China’s stock market.


Author(s):  
Muhammad Faheem ◽  
Azali Mohamed ◽  
Fatima Farooq ◽  
Sajid Ali

The study asseses the influence of  migrant remittances on financial development over the period of 1976-2018 in Pakistan. This study has applied the linear autoregressive distributive lag (ARDL) model and nonlinear autoregressie distributed lag (NARDL) model to check the symmetric and asymmetric effect of remittances. Results of the ARDL and NARDL bound test confirm remittances, FDI, real GDP and inflation significantly contributing to financial development. The outcomes of ARDL and NARDL have also confirmed the significant positive effect of  migrant remittances on financial development in long-run. The asymmetric ARDL  results show the existence of remittances nonlinear effect  on financial development. Specifically, the study found remittances decrease have a significant impact while remittances increase have no any significant effect on financial development. Based on findings, this study recommends the plan for the policymakers of recipient countries, especially Pakistan, could harvest the potential gain of migrant remittances though positive asymmetric association with financial sector development.


Author(s):  
Anis Mat Dalam ◽  
Noorhaslinda Kulub Abd Rashid ◽  
Jaharudin Padli

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.


2020 ◽  
pp. 097674791989890
Author(s):  
Sudeshna Ghosh

The study explores the relationship between consumer confidence, household private consumer expenditure and other related macroeconomic financial variables for Brazil, a major, upper middle, income, Latin American country. It is widely discussed in the literature that the consumer confidence is an initial guide to the future behaviour of the economy based on the consumption path. Thus, a rise in the confidence of the consumer would lead to rising household consumption behaviour, which would percolate to accelerate economic growth. The study uses the nonlinear autoregressive distributed lag model (NARDL) to measure the effects of changes in consumer sentiment on private consumer spending, taking into consideration the significance of other financial variables, namely the rate of interest, stock market index, the exchange rate, inflation and unemployment trends. The study employs monthly data from the 4th month of 1995 to the 10th month of 2018. The bounds test of the NARDL suggests the presence of a cointegrating relationship among the variables. The model estimation affirms the presence of asymmetries in the behaviour of the major explanatory variables. In the short run, there are both positive and negative asymmetric impacts of consumer confidence index (CCI) on consumer expenditure, while the rate of interest has only negative asymmetries. In the long run, unemployment changes, stock market fluctuations, interest rate variation and alterations in the CCI shape the behaviour of consumer spending at the household level in Brazil. So, the consumers are able to perceive the signalling of the future behaviour of the market and contribute through consumption spending. JEL: C22; D12; E21; O54


2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani

 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. 


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