The Asymmetric Impact of Oil Prices on Unemployment in the MENA Region

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Iman Cheratian ◽  
Mohammad Reza Farzanegan ◽  
Saleh Goltabar
Keyword(s):  
Unemployment Rate ◽  
Resource Curse ◽  
Oil Prices ◽  
Alternative Measure ◽  
Mena Region ◽  
Unemployment Rates ◽  
Distributed Lag ◽  
Long Run ◽  
Oil Rents ◽  
Short Run

Abstract We examine the effects of oil prices on unemployment rates in the Middle East and North Africa (MENA) over the period of 1991–2017. Using the panel nonlinear autoregressive distributed lag (panel NARDL) model, the results show that in the long run, positive changes of oil prices exert a positive (increasing) impact on the unemployment rate. However, negative changes in oil prices have a significant decreasing effect on the unemployment rate in the MENA region. We also find that the short run changes in oil prices do not show a significant effect on unemployment rates. Our findings are robust to an alternative measure of oil rents per capita and in line with predictions of the resource curse hypothesis. Countries with higher dependency on natural resource rents experience, on average, a slower long run economic growth rate (and thus higher unemployment rates), compared with countries with lower dependency.

scholarly journals The Nexus Among Economic Growth, Inflation and Unemployment in Bhutan

2019 ◽  
Vol 20 (1) ◽  
pp. 94-105
Author(s):  
Ugyen Tenzin
Keyword(s):  
Economic Growth ◽  
Unemployment Rate ◽  
Positive Association ◽  
Economic Output ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Employment Elasticity ◽  
The Impact

In order to understand the dynamics of unemployment in Bhutan at a macro-level, this study has explored the association among economic growth, inflation and unemployment from 1998 to 2016. The autoregressive distributed lag (ARDL) model was applied to estimate the impact of economic growth and inflation on unemployment. The results of this empirical analysis suggest that economic growth had no impact on the reduction of unemployment rate in Bhutan both in the short and in the long run. In fact, as the economic growth increased, so did the unemployment rate. However, inflation had a negative association with unemployment rate in the short run and a positive association in the long run. In other words, an increase in the employment rate led to an increase in the inflation in the short run. Likewise, if inflation is not monitored or controlled, the uncertainty of inflation can lead to lower investment and lower economic growth, thereby causing unemployment to rise in the long run. This study, therefore, recommends policymakers to take into account the employment elasticity with respect to economic output and focus on sectors, which have more absorptive capacity in engaging the young labour market entrants. JEL: B22, C22, E24, E31

scholarly journals Testing the Effects of Real Exchange Rate Pass-Through to Unemployment in Brazil

Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 49 ◽  
Author(s):  
Ojonugwa Usman ◽  
Osama Elsalih
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Unemployment Rate ◽  
Policy Implications ◽  
The Real ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Pass Through ◽  
Linearity Test

This paper attempts to test the pass-through of the real exchange rate (RERT) to unemployment in Brazil over the period 1981M1–2015M11 using linear and nonlinear Autoregressive Distributed Lag (ARDL) models. The result of the linearity test suggests that the relationship between RERT and unemployment is linear in the short-run and nonlinear in the long-run. Therefore, using the symmetric ARDL model for the short-run analysis, we find that an increase in the RERT decreases the unemployment rate. The result of the nonlinear ARDL for the long-run analysis shows that the unemployment rate reacts to the RERT appreciations and depreciations differently with depreciations having a strong effect. However, the pass-through of the RERT to unemployment is incomplete both in the short- and long-run. These findings have important policy implications for the designing of appropriate monetary policy in response to a rise in unemployment resulting from a change in the real exchange rate.

scholarly journals Determinants of Socio Economic and Demographic Characteristics of Poverty in Aceh Province

2021 ◽  
Vol 2 (2) ◽  
pp. 50-56
Author(s):  
Heri Wintara ◽  
Raja Masbar ◽  
Suriani Suriani
Keyword(s):  
Unemployment Rate ◽  
Demographic Characteristics ◽  
Cigarette Consumption ◽  
Poor People ◽  
Dependency Ratio ◽  
Analysis Model ◽  
Distributed Lag ◽  
Long Run ◽  
Aceh Province ◽  
Short Run

This study analyzes the effect of socio-economic and demographic characteristics on poverty levels in Aceh Province in the short and long run. Socio-economic characteristics are represented by factors of income per capita, open unemployment rate, and cigarette consumption. While the demographic characteristics are represented by the dependency ratio factor. This study uses panel data from 23 districts/cities in Aceh Province for the 2010-2019 period and the analysis model used is the Autoregressive Distributed Lag (ARDL) panel model. The results found in this study are the dependency ratio factor, cigarette consumption, and the open unemployment rate have a significant effect in the long run on the percentage of poor people. Meanwhile, the significant factors in the short run are the dependency ratio and the open unemployment rate.

scholarly journals Stock Prices of Renewable Energy Firms: Are There Asymmetric Responses to Oil Price Changes?

Economies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 59 ◽  
Author(s):  
Donggyu Lee ◽  
Jungho Baek
Keyword(s):  
Renewable Energy ◽  
Stock Prices ◽  
Oil Prices ◽  
Oil Price ◽  
Price Changes ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Crude Oil Prices ◽  
Long Run ◽  
Short Run

This article revisits the question of whether crude oil prices have a positive effect on stock the prices of renewable energy firms. To examine this question carefully, we allow for the asymmetric effects of oil price changes in our modeling process, using the nonlinear autoregressive distributed lag (ARDL) approach. We find that changes in oil prices indeed have a significant, positive short-run effect on renewable energy stock prices in an asymmetric manner. However, this short-run effect does not appear to last in the long-run.

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

scholarly journals Mobile Money Use: The Impact of Macroeconomic Policy and Regulation

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Lorna Katusiime
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Financial Innovation ◽  
Macroeconomic Policy ◽  
Mobile Money ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examines the effects of macroeconomic policy and regulatory environment on mobile money usage. Specifically, we develop an autoregressive distributed lag model to investigate the effect of key macroeconomic variables and mobile money tax on mobile money usage in Uganda. Using monthly data spanning the period March 2009 to September 2020, we find that in the short run, mobile money usage is positively affected by inflation while financial innovation, exchange rate, interest rates and mobile money tax negatively affect mobile money usage in Uganda. In the long run, mobile money usage is positively affected by economic activity, inflation and the COVID-19 pandemic crisis while mobile money customer balances, interest rate, exchange rate, financial innovation and mobile money tax negatively affect mobile money usage.

Fish Exports and Economic Growth: The Pakistan’s Experience

2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.

scholarly journals Determinants of Insurance Penetration in West African Countries: A Panel Auto Regressive Distributed Lag Approach

2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi
Keyword(s):  
Banking Sector ◽  
West African ◽  
Education Sector ◽  
African Countries ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Insurance Penetration ◽  
The Government

This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous connection was discovered between insurance penetration along with the independent variables, which were education, productivity, dependency, inflation and income. The error correction term’s significance and negative sign demonstrate that all variables are heading towards long-run equilibrium at a moderate speed of 56.4%. This further affirms that education, productivity, dependency, inflation and income determine insurance penetration in West Africa in the long run. In addition, the short-run causality revealed that all the pairs of regressors could jointly cause insurance penetration. The findings of this study recommend that the economy-wide policies by the government and the regulators of insurance markets in these economies should be informed by these significant factors. The restructuring of the education sector to ensure finance-related modules cut across every faculty in the higher education sector is also recommended. Furthermore, Bancassurance is also recommended to boost the easy penetration of the insurance sector using the relationship with the banking sector as a pathway.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

Impact of Environmental Tax on Comparative Advantage of Food and Food Products: A Study of G20 Countries in Light of Environmentally Sensitive Goods

2021 ◽  
pp. 001946622110352
Author(s):  
Alisha Mahajan ◽  
Kakali Majumdar
Keyword(s):  
Comparative Advantage ◽  
Food Products ◽  
Environmental Taxes ◽  
Environmental Tax ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Environmentally Sensitive ◽  
The Relationship

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

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