The Determinants of Fertility and Economic Uncertainty: An Application of the NARDL Model for Hong Kong and South Korea

2021 ◽  
pp. 097639962110184
Author(s):  
Sudeshna Ghosh

This article examines the determinants of fertility, using annual data sets from 1980 to 2017 for two major developed economies of the Asian region, namely Hong Kong (China) and South Korea. The article applies the non-linear autoregressive distributed lag model to study the impact of economic uncertainty on fertility decisions in these two countries. Using output volatility measure of economic uncertainty, the study shows that there is an asymmetric impact of economic uncertainty upon fertility decisions. Such an exploration demonstrates the extent of the impact of insecurity in the economy on fertility decisions. Furthermore, the study also explores the impact of infant mortality rate, old-age population, urbanization, income per capita, female employment levels, percentage of women in marriage or union, contraceptive prevalence and human capital formation on fertility decisions in these two advanced economies. The results confirm the asymmetry because the impact of the positive change of uncertainty and the impact of the negative change are not identical. The study concludes that for these major industrialized economies of Asia, economic uncertainty apart from the traditional demographic and economic factors appears to be a crucial factor in impacting fertility decisions.

2020 ◽  
Vol 1 (1) ◽  
pp. 41-52
Author(s):  
Raima Nazar ◽  
Aisha Ambreen ◽  
Sumbal Sabtain

Pakistan is one of the developing countries instead of possessing large amount of natural resources like mines, reserves of coal, adequate amount of minerals and oil, But, Pakistan is still deprived of basic necessities of life and suffering from extreme inflation in the country. Therefore, this study is an attempt to synopsis the impact of inflation on GDP of Pakistan. This study mainly focus on the inflation rate from the period 1980 to 2016, time series annual data has been employed in the study. The Auto Regressive Distributed Lag Model technique is applied in the study in order to estimate and analyze the data. The study concludes that inflation indicates negative impact on the GDP of Pakistan and it can only be minimized if all resources of the country are properly allocated and fully utilized.


Author(s):  
Paulo Fernando Marschner ◽  
Paulo Sergio Ceretta

ABSTRACT The aim of this study is to analyze how economic uncertainty and monetary policy affect investor sentiment in Brazil. Investor sentiment is an important element in the finance, economics, and accounting literature and its impact on financial markets is widely documented. However, understanding the variables that affect it remains an important challenge, and this research seeks to explore this gap within the Brazilian context. The study provides initial evidence regarding the impact of economic uncertainty and monetary policy on investor sentiment in Brazil. The findings documented here provide theoretical, managerial, and social contributions, with a possible impact on the areas of finance, economics, and accounting. Monthly data were used relating to four mechanisms of transmission of economic uncertainty and of monetary policy (interest rate, exchange rate, inflation rate, economic uncertainty index) and to the consumer confidence index as a proxy for investor sentiment (covering the period from January of 2006 to March of 2020). An autoregressive distributed lag model was estimated to capture short- and long-term relationships between the variables. The results indicate that investor sentiment is affected by economic uncertainty and by the main mechanisms of transmission of monetary policy to different extents and in the different time horizons. The evidence suggests that investors, policymakers, and monetary authorities should consider sentiment as a signal, whether for altering investment portfolios or for anticipating economic trends. It also provides support for focusing on economic and monetary policy in the National Financial Education Strategy (Estratégia Nacional de Educação Financeira - ENEF) recently adopted in Brazil


Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Lorna Katusiime

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.


2020 ◽  
Vol 3 (2) ◽  
pp. 77-86
Author(s):  
Abubakar Aminu ◽  

This paper investigated the impact of education tax and investment in human capital on economic growth in Nigeria utilizing the Non-Linear Autoregressive Distributed Lag Model of cointegration covering the period of 25 years from 1995 to 2019. The findings reveal that education tax and investment in human capital have positive and significant effect on the growth of the Nigerian economy over the sampled period. The paper recommends that in order to boost the economy, Nigeria would need to, among other policy frameworks, provide a suitable environment for ensuring macro-economic stability through effective utilization of income from education tax that will encourage increased investment in human capital in the public sector. In addition to income from education tax, for effective and speedy economic growth and development in Nigeria, the government, beneficiaries (students/parents), employers of labor and other stakeholders in the society should share the responsibility for financing primary, secondary and tertiary education, so as to provide a solid foundation for human capital development. However, as revealed in this paper, the contribution of education tax and investment in human capital is most likely to be realized over a long-run period than in the short term. Keywords: Education Tax; Investment; Human capital; Economic growth


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.


2020 ◽  
Author(s):  
Peter John Collignon ◽  
John Beggs

Background: As the Covid-19 virus epidemic spreads, it is important to establish reliable estimates of fatality hazard rates. Australia and South Korea are ideal candidates for detailed consideration. Both have completed the first wave of the epidemic, they have extensive Covid-19 testing and tracking programs so that confirmed case load data are reliable, and neither country has had any significant case load stress in their hospital systems. Methods: For each country, mortality hazard models were estimated using a parameterized distributed lag model where the number of daily deaths was dependent on the number of confirmed cases in each of the preceding six weeks. Age cohort CFRs were also examined. Findings: We observed major difference in the mortality rates when comparing South Korea to Australia in both the simple age adjusted fatality rates and in the disease hazard curve. On a like-for-like basis, the CFR for South Korea appears to be close to double the Australian rate (aggregate; 2.4% vs 1.4%). Interpretation: Neither differences in the time pattern of the peaking of the case load of confirmed cases, nor differences in the size of age cohorts of confirmed cases explain the difference in mortality observed. We discuss possible explanations that point the way for further investigation. Funding: nil.


2021 ◽  
Vol 15 (4) ◽  
pp. 761-772
Author(s):  
Fitria Virgantari ◽  
Wilda Rahayu

The distributed lag model is a regression  model that describes the relationship between the dependent variable of a given period and the independent variables of a certain or previous periods. The model can be used to determine the impact of the independent variable to dependent variables over time and forecast time series data for the next periods. There are two forms of distributed lag model that have been widely proposed in the estimation of distributed lag regression model. The first form  is proposed by Koyck and the second form by Almon. This paper aims to apply the Almon model to examine the effect of  the ratio of BOPO (Operating Cost and Operating Income) to the ROA (Return on Asset) of a government bank based on quarterly data, to estimate its parameters, to examine the feasibility of the model, and to predict the next quarter.  Results shows that distributed lag model is  = 10.110 - 0.078  + 0.015  + 0.026  – 0.045  with Yt is ROA, and Xt is the ratio BOPO  on the 1st quarter until the previous 3 quarters. The model is quite good according to the determination coefficient that is 0.75, no autocorrelation in the model, t test and F test are also significant. Based on the model, the value of ROA ratio next quarter predicted 4.63%. The decrease in profitability ROA ratio is due to an increase in interest expense while interest income can not compensate


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