scholarly journals Relationship between Inflation and other Macro Economic Variables in Pakistan

2015 ◽  
Vol 2 (4) ◽  
pp. 6-15
Author(s):  
Adnan Ali ◽  
Farzand Ali Jan ◽  
Sami Ullah Khan

Conventionally, it is claimed that persistently higher deficit in government budget may cause the inflation to rise in the long run but this relationship is not conclusive empirically. Therefore, the present study is aimed to determine the relationship between inflation and other studied variables of macroeconomic i.e. fiscal deficit and supply of money in the short run as well as in the long run in Pakistan. the bound testing approach to co-integration and VAR model, established within an autoregressive distributed lag (ARDL) is used to annual data of time series covering the period of time from 1960 to 2010 for examining the studied variables both in short run as well as in long run. The conclusion of the study shows that the relationship between the studied variables is insignificant in the long-run but the outcomes of VAR model illustrate that a short run positive relationship between the studied variables cannot be ignored. The study further indicates that 1% change in budget deficit and money supply caused to change the inflation by 0.29 and 0.31 times respectively in the short run. The results provide strong evidence that the government may target reducing the inflation by generating domestic economic resources to boost the economic growth instead of reducing budget deficit.

Author(s):  
Murat Mustafa Kutlutürk ◽  
Hakan Kasım Akmaz ◽  
Ahmet Çetin

In this study the relationship between higher education and economic growth was investigated using annual data between 1988 and 2012 for Turkey. To see short and long run effects of higher education on growth the Autoregressive Distributed Lag (ARDL) testing approach was used. In this investigation ratio of higher education graduates in employment was used as an explanatory variable. Zivot and Andrews test was implemented for the variables. The long and short run effects of higher education on growth was found significant. Granger causality test was implemented and one way Granger causality from higher education to growth was determined.


2021 ◽  
pp. 001946622110352
Author(s):  
Alisha Mahajan ◽  
Kakali Majumdar

Many countries are under constant fear that environmental policies might negatively influence the international competitiveness of polluting industries. In this study, we aim to evaluate the relationship and impact of the environmental tax on comparative advantage of trade in food and food products industry, considered to be one of the highly environmentally sensitive industries. This study also investigates, whether this relationship differs among countries covered in G20, with the help of correlation analysis. We select panel autoregressive distributed lag approach for this study as it can analyse long-run as well as short-run association even when the variables are stationary at different orders of integration. Using panel data from G20 countries over the period of 21 years that is from 1994 to 2015, it is concluded that when we allow environmental taxes to interact with the revealed comparative advantage (RCA) of G20 nations, the overall impact of the environmental tax on the RCA is negative in the long period. It is therefore suggested that countries should follow Porter hypothesis to stimulate innovations resulting from strict environmental regulations that affect the environment in least possible manner. JEL Codes: C01, C23, C33, F18, O57, Q5


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. 


2019 ◽  
Vol 22 (1) ◽  
pp. 103-122
Author(s):  
Badri Narayan Rath ◽  
Danny Hermawan

This paper investigates, using annual data from 1980 to 2014, whether adoption of information and communication technologies (ICT) fosters economic growth in Indonesia. We employ an Autoregressive Distributed Lag cointegration technique on an augmented neoclassical growth model. The empirical results indicate a positive effect of ICT development on economic growth in both the long-run and short-run. The other regressors, such as total factor productivity, human capital, and capital per worker, also positively affect economic growth. From a policy perspective, the Indonesian government should promote ICT development through greater investment.


2017 ◽  
Vol 64 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Olcay Çolak ◽  
Serap Palaz

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.


2020 ◽  
Vol 3 (2) ◽  
pp. 26-49
Author(s):  
Sisay Demissew Beyene ◽  
Balázs Kotosz

The Ricardian equivalence hypothesis (REH) suggests that when the government attempts to stimulate the economy by raising debt-financed government spending, consumption and demand do not increase but rather remain the same. The objective of this study is to test the existence of the REH in Ethiopia, using annual data from 1990 to 2011 and by employing the autoregressive-distributed lag cointegration approach. The study includes three variables (budget deficit, government consumption expenditure, and government debt) which contribute to the REH along with another variable. The results show that only the budget deficit and government consumption expenditure fulfil the REH. However, government debt fails to fulfil it. Thus, limited evidence of the existence of the REH is found in Ethiopia.


2017 ◽  
Vol 64 (1) ◽  
pp. 19-31
Author(s):  
Olcay Çolak ◽  
Serap Palaz

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.


2017 ◽  
Vol 12 (1) ◽  
pp. 80-88 ◽  
Author(s):  
Vlatka Bilas ◽  
Mile Bosnjak ◽  
Ivan Novak

AbstractThis paper examines the relationship between financial development and international trade in Croatia over the period from the first quarter of 1997 and the last quarter of 2015. The autoregressive distributed lag (ARDL) bounds testing approach to cointegration is applied to examine the long-run and short-run relationships among the series. The research hypothesis is accepted and the relationship between financial development and international trade in Croatia is established and confirmed. The research results reveal unidirectional Granger causality from financial development to international trade at the 10% significance level, and negative long-run and the positive short-run relationships between financial developments and international trade in Croatia.


2013 ◽  
Vol 5 (5) ◽  
pp. 260-267 ◽  
Author(s):  
Emmanuel Ziramba

This paper, with the use of annual data covering the period 1975 to 2008, seeks to identify the determinants of outbound tourism demand (outbound tourist outflows) in South Africa. We employ cointegration analysis by utilising an autoregressive distributed lag (ARDL) approach proposed by Pesaran et al. (2001) to make inferences about the long run and short run relationships. The results indicate that in the long run, outbound tourism demand is influenced by the real domestic income and the relative prices. Our results indicate that outbound tourism demand is a luxury good with an income elasticity of 3.5. In the short run, only relative prices have an impact on outbound tourism demand in South Africa. Outbound tourism demand was found to be price inelastic in both periods.


2021 ◽  
Vol 22 (3) ◽  
pp. 1525-1549
Author(s):  
Muzafar Shah Habibullah ◽  
Mohd Yusof Saari ◽  
Sugiharso Safuan ◽  
Badariah Haji Din ◽  
Anuar Shah Bali Mahomed

In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.


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