Economic Determinants Affecting Military Expenditures : Panel Data Analysis

Mahmoud Mourad; Bilal Nehme

Economic Determinants Affecting Military Expenditures : Panel Data Analysis

Mahmoud Mourad * §

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§ Lebanese University

Economic Determinants Affecting Military Expenditures : Panel Data Analysis

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Abstract

Our research revolves around the topic of considering the military expenditures per capita as a dependent variable and the GDP per capita and CO2 Emissions per capita as two explanatory variables. The study is made up of ten sections addressing several points, each of which clarifies the research method in order to reach a conclusion revealing the importance of the findings. Beginning with the basic statistical characteristics, such as averages, standard deviations, minimums, maximums and the Compound Annual Growth Rate (CAGR), a benefit use of the graph of each variable for each country has been highlighted for a better understanding of the rising and falling during its temporal evolution. The various aspects of the panel analysis have been completed as the questions of individual specific heterogeneity in panel data, the panel unit root tests using the most famous from the first and second generations, and the co-integration analysis according to the Pedroni’s approach, which has led to the rejection of the null hypothesis of no co-integration for each country and for the group as a whole.

References

41 Cites in Article

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(null). Ernesto Che Guevara. s.f., 1962, 1963, 1967, 1968, 1969, 1970. 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1982, 1988, 1988, 1989, 1990, 1991, 1992, 1993, 1995, 1996, 1998, 1999, 2000, 2001, 2007, 2008, 2009, 2010, 2021, 2022, 2023.
Lnemipc In Vs Pa CO2 Emissions per Capita -Primary Data & Data in logarithm Figure 4: References Références Referencias.
David Bell,David Blanchflower (2010). UK Unemployment in the Great Recession.
Jörg Breitung (2000). The local power of some unit root tests for panel data.
J Breitung,S Das (2005). Panel unit root tests under cross-sectional dependence.
Janice Breuer,Robert Mcnown,Myles Wallace (2002). Series‐specific Unit Root Tests with Panel Data*.
T Breusch,A Pagan (1980). The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics.
L Carroué (1997). Les travailleurs coréens à lássaut du dragon.
Yoosoon Chang (2002). Nonlinear IV unit root tests in panels with cross-sectional dependency.
I Choi (2001). Unit root tests for panel data.
G Elliott,T Rothenberg,J Stock (1996). Efficient tests for an autoregressive unit root.
Kaddour Hadri (2000). Testing for stationarity in heterogeneous panel data.
Richard Harris,Elias Tzavalis (1999). Inference for unit roots in dynamic panels where the time dimension is fixed.
Cheng Hsiao (1986). Analysis of Panel Data.
C Hurlin (2010). Panel data econometrics.
C Hurlin,V Mignon (2006). Panel data econometrics.
K Im,M Pesaran,Y Shin (2003). Testing for unit roots in heterogenous panels.
J,B,S,N (2004). A panic attack on unit roots and cointegration.
Vishal Jaunky,Robert Lundmark (2017). Dynamics of Wood Pulp Production: Evidence from OECD Countries.
C Kao,M Chiang (2000). Dynamics of wood pulp production: Evidence from oecd countries.
A Levin,C Lin (1992). Unit root test in panel data: Asymptotic and finite sample properties.
Andrew Levin,Chien-Fu Lin,Chia-Shang James Chu (2002). Unit root tests in panel data: asymptotic and finite-sample properties.
G Maddala (1999). On the Use of Panel Data Methods with Cross-Country Data.
G Maddala,S Wu (1999). A comparative study of unit root tests with panel data and a new simple test.
Nelson Mark,Donggyu Sul (2003). Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand*.
H Moon,B Perron (2004). Testing for a unit root in panels with dynamic factors.
Mahmoud Mourad,Bilal Nehme (2018). Economic Determinants Affecting Military Expenditures : Panel Data Analysis.
M Mourad (2018). Vital economic determinants and real GDP in GCC countries: Panel co-integration analysis.
M Mourad (2019). Econometrics from Theory to Practice-volume II.
W Newey,K West (1994). Automatic Lag Selection in Covariance Matrix Estimation.
Peter Pedroni (1995). PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESIS.
P Pedroni (1996). Fully modified ols for heterogeneous cointegrated panels and the case of purchasing power parity.
Peter Pedroni (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors.
Peter Pedroni (2001). Purchasing Power Parity Tests in Cointegrated Panels.
Peter Pedroni (2004). PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESIS.
P Pedroni (2007). Social capital, barriers to production and capital shares: Implications for the importance of parameter heterogeneity from a nonstationary panel approach.
M Pesaran (2007). A simple panel unit root test in the presence of cross‐section dependence.
M Pesaran (2004). General diagnostic tests for cross section dependence in panels.
Peter Phillips (1995). Fully Modified Least Squares and Vector Autoregression.
Peter Phillips,Bruce Hansen (1990). Statistical Inference in Instrumental Variables Regression with I(1) Processes.
E Rafael,R De Hoyos,V Sarafidis (2006). Testing for cross-sectional dependence in panel-data models.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mahmoud Mourad, Bilal Nehme. 2019. "Economic Determinants Affecting Military Expenditures : Panel Data Analysis". Global Journal of Science Frontier Research, Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 19 (GJSFR Volume 19 Issue F3).

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GJSFR Volume 19 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-F Classification MSC 2010: 62N86

Submission ReceivedJune 11, 2019
Peer Review Double Blind
Handling Editor
Accepted July 9, 2019
Published July 22, 2019

Version of record

v1.2

Issue date

August 19, 2019

Language

English

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Article Matrices

Total Score: 146

Country: Lebanon

Subject: Global Journal of Science Frontier Research

Authors: Mahmoud Mourad, Bilal Nehme (PhD/Dr. count: 0)

View Count (all-time): 299

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Publish Date: 2019 07, Mon

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