#Autoregressive Distributed Lags Model (ARDL)

[amereid1960]

مدى انتشار سوء التغذية فى مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية - باستخدام نموذج الانحدار الذاتى للفجوات الزمنية الموزعة

مدى انتشار سوء التغذية فى مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية – باستخدام نموذج الانحدار الذاتى للفجوات الزمنية الموزعة مدى انتشار سوء التغذية فى مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية – باستخدام نموذج الانحدار الذاتى للفجوات الزمنية الموزعة المؤلف: حنان محمود عجبو  أستاذ مساعد- جامعة القاهرة، كلية الاقتصاد والعلوم السياسية المستخلص: أعطت أهداف التنمية المستدامة للأمم المتحدة…

[alewaanewspaper1960]

مدى انتشار سوء التغذية فى مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية - باستخدام نموذج الانحدار الذاتى للفجوات الزمنية الموزعة

مدى انتشار سوء التغذية فى مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية – باستخدام نموذج الانحدار الذاتى للفجوات الزمنية الموزعة مدى انتشار سوء التغذية فى مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية – باستخدام نموذج الانحدار الذاتى للفجوات الزمنية الموزعة المؤلف: حنان محمود عجبو  أستاذ مساعد- جامعة القاهرة، كلية الاقتصاد والعلوم السياسية المستخلص: أعطت أهداف التنمية المستدامة للأمم المتحدة…

[smatralph]

The relationship between both HIV rate and carbon dioxide emission and life expectancy.

OVERVIEW

After downloading the datasets and observing the variables using their respective codebooks, I eventually got attracted to the information contained in the GapMinder codebook. The data are related to economic situations and I feel that working on this might create discoveries that will eventually create some realizations that will help the society.

With this in view, I consulted research expert who is specialized in handling demographic studies to pinpoint common economic concerns that might be reviewed using the dataset. After several deliberations, I decided to base my research on finding the relationship between both HIV rate and carbon dioxide emission, and life expectancy.

I have decided to use the CO2 emissions and life expectancy variables contained in the GapMinder dataset to meet the aim of this project. This would help give just the light needed to make this research quite explicit.

RESEARCH QUESTION

In order to extensively cover the aspect of this study, the question to be researched is “Is there a relationship between carbon dioxide emission and life expectancy?”.

RESEARCH HYPOTHESIS

Ho: There is a relationship between carbon dioxide emission and life expectancy. Ho2: There is a relationship between HIV rate and life expectancy.

LITERATURE REVIEW

There exists tremendous literature in the area of environmental hazards, but some studies on the area of CO2 effects on life expectancy in the recent decades are quite rare. Chigozie Nelson Nkalu, Richardson Kojo Edeme (2019) investigated the extent to which environmental hazards affect the life expectancy in Africa using Nigeria as a case study. From their research, it is evidenced in the estimation results that CO2 emission from solid fuel consumption reduces life expectancy, while population growth and income extend life expectancy in their varying degrees and magnitudes.

Rogers and Wofford (1989) examined the determinants of life expectancy in 95 developing countries using cross-sectional data. The study found that agriculture-related population, urbanization, access to drinking water, illiteracy rate, average number of doctors per population, and average calories per person play significant roles in determining life expectancy at birth in the 95 developing nations.

Also, Amjad and Khalil (2014) examined the impact of socioeconomic factors on life expectancy in Sultanate of Oman using autoregressive distributed lag (ARDL) model on a time series data ranging from 1970 to 2012. The result indicated that CO2 is negatively and significantly associated with life expectancy in the short run but positive and insignificant in the long run.

Mariani, Pérez-Barahona, and Raffin (2009) carried a study on life expectancy and the environmental quality dynamics in Germany using the OLG model. The study reveals a positive correlation between life expectancy or longevity and environmental quality in both the transition path and long run. Similar to this findings is Bayati, Akbarian, and Kavosi (2013) which investigated the determinants of health status proxied by life expectancy in East Mediterranean Region (EMR) using panel data econometrics technique with fixed effects after pre-evaluating the parameters using Hausman test. The study covers a time period between 1995 and 2007, and estimated output shows that life expectancy is influenced positively by the level of urbanization, food availability, income per capita, education index, and employment. The study concluded that life expectancy can be improved in the EMR if policymakers can concentrate on those factors exogenous to the health care system such as reduction in unemployment, increase in productivity, and economic growth.

 Therefore, this is an extensive review of related literature on the key indicators of environmental hazards and life expectancy, and with reference to the research question and study objective.

REFERENCES

Ali, Amjad, and Khalil Ahmad. The Impact of Socio-Economic Factors on Life Expectancy for Sultanate of Oman: An Empirical Analysis. 2014, https://mpra.ub.uni-muenchen.de/70871/.

Mariani, Fabio, et al. “Life Expectancy and the Environment.” Journal of Economic Dynamics and Control, vol. 34, no. 4, Apr. 2010, pp. 798–815. ScienceDirect, doi:10.1016/j.jedc.2009.11.007.

Nkalu, Chigozie Nelson, and Richardson Kojo Edeme. “Environmental Hazards and Life Expectancy in Africa: Evidence From GARCH Model.” SAGE Open, vol. 9, no. 1, Jan. 2019, p. 215824401983050. DOI.org (Crossref), doi:10.1177/2158244019830500.

Rogers, Richard G., and Sharon Wofford. “Life Expectancy in Less Developed Countries: Socioeconomic Development or Public Health?” Journal of Biosocial Science, vol. 21, no. 2, Apr. 1989, pp. 245–52. DOI.org (Crossref), doi:10.1017/S0021932000017934.

[ikpress1]

DETERMINANTS OF CAPITAL FLOWS INTO NIGERIA: AN AUTOREGRESSIVE-DISTRIBUTED LAG (ARDL) APPROACH |  Journal of Economics and Trade

The rate of capital flows into developing markets is concerning, and it has sparked controversy in the literature. Money flows are generally seen to be helpful to developing country economies because they facilitate the effective allocation of global resources, hence improving the availability of capital for investment and economic growth. The macroeconomic determinants that affect capital movements remain disputed, despite popular assumption. In light of this, the study looked at the long- and short-term factors that influence capital flows into Nigeria. Between 1986 and 2014, the study used secondary data from the Central Bank of Nigeria (CBN), FRED Economic statistics, and the World Development Indicator. Using the Autoregressive Distributed Lag Model as an econometric approach (ARDL), the analysis discovered that the exchange rate (LnEXR) and stock market prices (LnSP) are major short- and long-run drivers of capital flows into Nigeria. As a result, it is advised that the government, through its policies, make a concentrated effort to enhance stock market activity in order to attract capital flows into the country. Please see the link :- https://www.ikprress.org/index.php/JET/article/view/66

[olahdatasemarang]

AutoRegressive Distributed Lag (ARDL) Data Panel Eviews 12

AutoRegressive Distributed Lag (ARDL) Data Panel Eviews 12

This video shows how to estimate the panel model autoregressive distributed lag (ARDL) using Eviews 12

Equipped with Input and Output Files (Excel File And EViews workfile (Wf2))

Link Download Input and Output Files (Excel File And EViews workfile (Wf2)) In Video

[attorneyandlawyer]

THE IMPACT OF INTERNALLY GENERATED REVENUE (IGR) ON OUTPUT IN KWARA STATE (1988-2017)

THE IMPACT OF INTERNALLY GENERATED REVENUE (IGR) ON OUTPUT IN KWARA STATE (1988-2017)

THE IMPACT OF INTERNALLY GENERATED REVENUE (IGR) ON OUTPUT IN KWARA STATE (1988-2017)

ABSTRACT

This study examine the impact of internally generated revenue IGR) on economic output in Kwara State from 1988 to 2017. The data were however analysed using Autoregressive Distributive Lag model (ARDL) and Vector Autoregressive (VAR). The ARDL test for co-integration at the levels of variables carried…

[project-writers]

THE IMPACT OF FINANCIAL REFORMS ON MONEY DEMAND AND ECONOMIC GROWTH IN NIGERIA

THE IMPACT OF FINANCIAL REFORMS ON MONEY DEMAND AND ECONOMIC GROWTH IN NIGERIA

THE IMPACT OF FINANCIAL REFORMS ON MONEY DEMAND AND ECONOMIC GROWTH IN NIGERIA

The study investigated the impact of financial sector reform on money demand and the rate of economic growth in Nigeria. The residual based autoregressive distributed lag-error correction model (ARDL-ECM) was used to analyze the study with a time series data sourced from the central bank of Nigeria statistical…

[amereid1960]

مدى انتشار سوء التغذية في مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية - باستخدام نموذج الانحدار الذاتي للفجوات الزمنية الموزعة

  مدى انتشار سوء التغذية في مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية – باستخدام نموذج الانحدار الذاتي للفجوات الزمنية الموزعة   مدى انتشار سوء التغذية في مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية – باستخدام نموذج الانحدار الذاتي للفجوات الزمنية الموزعة المؤلف: حنان محمود عجبو* أستاذ مساعد-جامعة القاهرة، كلية الاقتصاد والعلوم السياسية المستخلص: أعطت أهداف التنمية المستدامة للأمم…

[alewaanewspaper1960]

مدى انتشار سوء التغذية في مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية - باستخدام نموذج الانحدار الذاتي للفجوات الزمنية الموزعة

  مدى انتشار سوء التغذية في مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية – باستخدام نموذج الانحدار الذاتي للفجوات الزمنية الموزعة   مدى انتشار سوء التغذية في مصر وعلاقته بأهم العوامل الاجتماعية والاقتصادية – باستخدام نموذج الانحدار الذاتي للفجوات الزمنية الموزعة المؤلف: حنان محمود عجبو* أستاذ مساعد-جامعة القاهرة، كلية الاقتصاد والعلوم السياسية المستخلص: أعطت أهداف التنمية المستدامة للأمم…

[itsmedicinesfakianakis]

Globalisation and its effect on pollution in Malaysia: the role of Trans-Pacific Partnership (TPP) agreement

Abstract

The main objective of this study is to investigate the influence of the globalisation (Trans-Pacific Partnership (TPP) agreement in particular) on air pollution in Malaysia. To achieve this goal, the Autoregressive Distributed Lag (ARDL) model, Johansen cointegration test and fully modified ordinary least square (FMOLS) methods are utilised. CO2 emission is used as an indicator of pollution while GDP per capita and urbanisation serve as its other determinants. In addition, this study uses Malaysia’s total trade with 10 TPP members as an indicator of globalisation and analyse its effect on CO2 emission in Malaysia. The outcome of this research shows that the variables are cointegrated. Additionally, GDP per capita, urbanisation and trade between Malaysia and its 10 TPP partners have a positive impact on CO2 emissions in general. Based on the outcome of this research, important policy implications are provided for the investigated country.

from # All Medicine by Alexandros G. Sfakianakis via alkiviadis.1961 on Inoreader http://ift.tt/2xiGxzv from OtoRhinoLaryngology - Alexandros G. Sfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2ijFxsl