scholarly journals Effects of Remittances on Financial Development: A Time Series Analysis for Pakistan

2019 ◽  
Vol IV (IV) ◽  
pp. 381-387
Author(s):  
Muhammad Awais ◽  
Nazima Ellahi ◽  
Ahmed Sher

International migrant remittances are possibly the largest source of external finance in developing countries and this inflow have has considerable importance in the development of the financial sector. The present study aimed to analyze the link between workers remittances and development of the financial sector in the context of Pakistan. To carry out this empirical analysis, the study utilized a data set of annual frequency ranging from 1980 to 2015 (post-liberalization period). The econometric methodology of Auto-Regressive Distributed Lag (ARDL) has been used to get the short-run and long-run elasticities of the model. Overall findings suggested that there is a strong positive link between the inflow of remittances and the development of the financial sector in the context of Pakistan.

2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi

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.


2018 ◽  
Vol 37 (2) ◽  
Author(s):  
Adenuga Fabian Adekoya ◽  
Nor Azam Abdul-Razak

This study examines the link between unemployment and violence by controlling for income and security expenditure as an antidote to reduce violence in Nigeria. Violence claims many lives and properties in the country, which further increased the demand for public security as tax on the nation’s resources. Also, the increased unemployment in Nigeria, deserving urgent attention to be reduced, as literature has pointed out, causes idleness, deception, frustration and anger. The idea of criminal motivation and strain as an inducement to violence are supported by evidence. Considering the nature of the variables in this study, we tested for endogeneity by using annual data set from 1980 to 2015 before proceeding to test for the long-run and short-run relationship. The Bound Test used to test the cointegration while the Autoregressive Distributed Lag Model (ARDL) approach was used to conduct endogeneity test. ARDL Instrumental Variable is also employed to determine long-run and short-run estimates. The results showed that unemployment causes violence while income as a variable to economic growth reduces violence at the 1% level of significance. Similarly, the deterrence variable of security expenditure adversely affects violence at the 10% level of significance. Therefore, this study suggests policy to promote economic growth as the means of income-employment generation among the youth and the unemployed. Youth programs should be provided especially among the unemployed by granting credit facilities to finance their own projects and further strengthen the deterrence institutions. RESUMEN Este estudio examina el vínculo entre el desempleo y la violencia mediante el control de los ingresos y el gasto de seguridad, como un antídoto para reducir la violencia en Nigeria. La violencia se cobra muchas vidas y propiedades en el país, lo que aumenta aún más la demanda de seguridad pública, traducida como un impuesto a los recursos de la nación. Además, el aumento del desempleo en Nigeria, la cual merece una atención urgente que se reduzca ya que, la literatura señala, provoca ociosidad, engaño, frustración e ira. La idea de la motivación y la tensión delictiva como un incentivo a la violencia está respaldada por la evidencia. Teniendo en cuenta la naturaleza de las variables en este estudio, probamos la endogeneidad mediante el uso de datos anuales de 1980 a 2015, antes de proceder a la prueba de la relación de largo y corto plazo. El Bound Test se usó para probar la cointegración, mientras que el enfoque del Modelo de retardo distribuido autorregresivo (ARDL), se usó para realizar pruebas de endogeneidad. La variable instrumental de ARDL también se emplea para determinar estimaciones a largo y corto plazo. Los resultados mostraron que el desempleo causa violencia; mientras que el ingreso, como variable del crecimiento económico, reduce la violencia, al nivel de significancia del 1%. De manera similar, la variable de disuasión del gasto en seguridad afecta adversamente la violencia, al nivel de significancia del 10%. Por lo tanto, este estudio sugiere una política para promover el crecimiento económico como el medio de generación de empleo-empleo entre los jóvenes y los desempleados. El empoderamiento de la juventud debe proporcionarse especialmente entre los desempleados mediante la concesión de servicios de crédito para financiar proyectos propios y fortalecer aún más las instituciones de disuasión.


2016 ◽  
Vol I (I) ◽  
pp. 1-12
Author(s):  
Mehmood Kakar ◽  
Adiqa Kiani ◽  
Asia Baig

This article examines the determinants of the total productivity of the agriculture sector which enhances the total agricultural productivity in Pakistan and analyzes the relations among variables used for the analysis from 1990 - 2017. The application of the auto regressive distributed lag technique ARDL was used to approximate various determinants. The area under cultivation, fertilizer consumption, agriculture credit, and rainfall show a positive effect on agriculture productivity, whereas agriculture employment and pesticide consumption show a positive but statistically insignificant effect on agricultural productivity in the long run. While in the short-run all determinants have a positive and significant effect on total agriculture productivity convergence towards equilibrium is shown by error correction term is 0.829.


2017 ◽  
Vol 3 (2) ◽  
pp. 101-110
Author(s):  
Hina Ali ◽  
Hira Tahir

Purpose: This study aims to raise the trouble of adjustment the price of capital input in Pakistan. The data that is take to estimate the analysis is time series which span over from 1974 to 2014. Yield, gross domestic product, exchange rate, land, price of capital, agriculture employment, agriculture imports and exports are variables that use in this study. Econometric technique of auto-regressive distributed lag (ardl) to co-integration approach are applied apply to estimate the long run and short run relationship among variables. Conclusion of this study shows that yield and price of capital are negative and insignificant both in short and long run.


2012 ◽  
Vol 19 (1) ◽  
pp. 61-77
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman

The article aims to investigate the impact of nominal devaluation on income distribution in Bangladesh both in short and long runs. In doing so, Auto Regressive Distributed Lag (ARDL) bounds testing has been employed for cointegration, and Error Correction Model (ECM) has been used for short-run dynamics. The empirical psychology has confirmed the existence of long-run relationship between the variables. Furthermore our estimated results reveal that nominal devaluation tends to decrease income inequality. Though economic growth appears to improve income distribution, non-linear link between both the variables, however, depicts Kuznets’ inverted-U curve (1955). Financial development causes further deterioration in income distribution. Trade openness contributes to income inequality as discussed in Leontief Paradox.


2020 ◽  
Vol 14 (2) ◽  
pp. 202-212
Author(s):  
NWOSA Philip Ifeakachukwu

This article examines the link between globalisation, economic growth and income inequality in Nigeria using annual secondary data over the period 1981–2018. Specifically, it attempts to examine the following questions: (a) What is the direction of causation among globalisation, economic growth and inequality? (b) What is the impact of globalisation and economic growth on inequality? (iii) Do trade globalisation and financial globalisation have differential impacts on inequality in Nigeria? The article used both vector error correction modelling (VECM) and auto-regressive distributed lag (ARDL) techniques. The VECM results show a unidirectional causality from inequality and globalisation to economic growth in the long run, whereas a unidirectional causation was observed from inequality to economic growth in the short run. The ARDL estimate shows that globalisation and economic growth are significant determinants of inequality in Nigeria. Furthermore, it is observed that trade and financial globalisation influenced income inequality differently. In the light of these findings, the article recommends that the foreign direct investment should be channelled towards empowering the poor, and the dividends of economic growth should be evenly distributed to reduce the income inequality gap.


2020 ◽  
Vol 12 (2) ◽  
pp. 56
Author(s):  
Afangideh U. J. ◽  
Garbobiya T. S. ◽  
Umar F. B. ◽  
Usman N.

This paper examines the Impact of inflation on financial sector development in Nigeria using quarterly data from 2002-2017. Financial sector development is proxied using money supply as a share of GDP (M2/GDP).The Auto-Regressive Distributive lag (ARDL) model is employed to carry out the estimation given the weakness of the Engle-Granger residual-based cointegration technique to test the long-run and short-run effects of the impacts of inflation on financial sector development. The results of the estimation reveal that there is a positive and statistically significant relationship between inflation and financial sector development in Nigeria. There is need to test for threshold effects of inflation on financial development in Nigeria.


2017 ◽  
Vol 7 (2017) ◽  
pp. 80-103
Author(s):  
Camara Kwasi Obeng

The government of Ghana has implemented a number of policies to strengthen the production and export of non-traditional products as a way of diversifying exports in Ghana with very little success. Foremost among these policies is the liberalization of exchange rate. Meanwhile, the exchange rate has been very volatile. The study, therefore, examines the effects of exchange rate volatility on non-traditional exports in Ghana.This study employed Auto-regressive Distributed Lag (ARDL) co-integration estimation technique for the investigation. The results indicate that exchange rate volatility negatively impacts Ghana’s non-traditional exports. Also, the effect is greater in the long- run than it is in the short-run. Other results also show that world income, growth rate of the economy and Treasury bill rate promote non-traditional exports, but real effective exchange rate does not. The value of the paper lies in the discussion of the short-run and long-run effects of exchange rate volatility on non-traditional exports in the Ghanaian context.


2019 ◽  
Vol 5 (1) ◽  
pp. 18
Author(s):  
Rafaela Maiara Caetano ◽  
Cleomar Gomes Da Silva

<p>The aim of this article is to investigate the determinants of consumer confidence in Brazil and possible impacts on monetary policy actions. The econometric methodology applied is based on Autoregressive Distributed Lag (ARDL) Models, particularly the Bounds Testing (ARDL) Approach to Cointegration. For monthly data between January 2003 and December 2016, the empirical results suggest that there is a long run relationship between consumer confidence and the other variables analyzed. As for short-run dynamics, the error correction mechanism varies between 1.9% and 8.7%, depending on the estimated model. This suggests that economic variables influence consumer confidence, and when there is a break in confidence, its recovery is very slow.</p>


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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