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Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?

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  • MAÏ ASSAN CHEDI, Maman

Abstract

This study examines the effects of defence expenditure on education and health expenditures, using data from Saharan African countries over the period 2000-2019. It employs the secondgeneration panel data tools to diagnose cross-sectional dependence and adopt appropriate tests. It then uses a panel vector autoregressive model estimated by the least squares dummy variable method. The study finds two mixed effects of defence expenditure. First, it finds that defense expenditure affects negatively education expenditure in the short run only. Second, it finds evidence of positive effect of defense expenditure on health expenditure in the short, only. Furthermore, this study finds that defence expenditure has no effect on education and health expenditures in the long run. Finally, this study proposes some policy recommendations to the governments of Saharan African countries.

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  • MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    • Handle: RePEc:ags:afjecr:330366
    DOI: 10.22004/ag.econ.330366
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    1. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.
    2. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    3. Javier Alvarez & Manuel Arellano, 2003. "The Time Series and Cross-Section Asymptotics of Dynamic Panel Data Estimators," Econometrica, Econometric Society, vol. 71(4), pages 1121-1159, July.
    4. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    5. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    6. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    7. Aschauer, David Alan, 1989. "Is public expenditure productive?," Journal of Monetary Economics, Elsevier, vol. 23(2), pages 177-200, March.
    8. Jiaqi Xiao & Artūras Juodis & Yiannis Karavias & Vasilis Sarafidis & Jan Ditzen, 2023. "Improved tests for Granger noncausality in panel data," Stata Journal, StataCorp LP, vol. 23(1), pages 230-242, March.
    9. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    11. Liming Zhao & Liang Zhao & Bing-Fu Chen, 2017. "The interrelationship between defence spending, public expenditures and economic growth: evidence from China," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(6), pages 703-718, November.
    12. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    13. Behr, Andreas, 2003. "A comparison of dynamic panel data estimators: Monte Carlo evidence and an application to the investment function," Discussion Paper Series 1: Economic Studies 2003,05, Deutsche Bundesbank.
    14. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    15. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    16. Jinyong Hahn & Guido Kuersteiner, 2002. "Asymptotically Unbiased Inference for a Dynamic Panel Model with Fixed Effects when Both "n" and "T" Are Large," Econometrica, Econometric Society, vol. 70(4), pages 1639-1657, July.
    17. Devarajan, Shantayanan & Swaroop, Vinaya & Heng-fu, Zou, 1996. "The composition of public expenditure and economic growth," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 313-344, April.
    18. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    19. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    20. Eric S. Lin & Hamid E. Ali & Yu-Lung Lu, 2015. "Does Military Spending Crowd Out Social Welfare Expenditures? Evidence from a Panel of OECD Countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(1), pages 33-48, February.
    21. Yingying Xu & Hsu Ling Chang & Chi Wei Su & Adelina Dumitrescu, 2018. "Guns for Butter? Empirical Evidence from China," Defence and Peace Economics, Taylor & Francis Journals, vol. 29(7), pages 809-820, November.
    22. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    23. Barro, Robert J, 1974. "Are Government Bonds Net Wealth?," Journal of Political Economy, University of Chicago Press, vol. 82(6), pages 1095-1117, Nov.-Dec..
    24. Ying Zhang & Xiaoxing Liu & Jiaxin Xu & Rui Wang, 2017. "Does military spending promote social welfare? A comparative analysis of the BRICS and G7 countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(6), pages 686-702, November.
    25. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    26. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    27. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    28. Deger, Saadet & Sen, Somnath, 1995. "Military expenditure and developing countries," Handbook of Defense Economics, in: Keith Hartley & Todd Sandler (ed.), Handbook of Defense Economics, edition 1, volume 1, chapter 11, pages 275-307, Elsevier.
    29. Jacques Fontanel & Stephen Martin & Ron Smith, 1985. "Estimations macroéconomiques de l'impact des dépenses militaires sur les économies de la France et de la Grande-Bretagne," Post-Print hal-02938192, HAL.
    30. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    31. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    32. Christos Kollias & Susana-Maria Paleologou, 2011. "Budgetary trade-offs between defence, education and social spending in Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 18(11), pages 1071-1075.
    33. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    34. Onur Ozsoy, 2002. "Budgetary Trade-Offs Between Defense, Education and Health Expenditures: The Case of Turkey," Defence and Peace Economics, Taylor & Francis Journals, vol. 13(2), pages 129-136.
    35. Michael R.M. Abrigo & Inessa Love, 2016. "Estimation of Panel Vector Autoregression in Stata: a Package of Programs," Working Papers 201602, University of Hawaii at Manoa, Department of Economics.
    36. Aschauer, David Alan, 1988. "The Equilibrium Approach to Fiscal Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(1), pages 41-62, February.
    37. Lubna Khan & Imtiaz Arif & Sundus Waqar, 2021. "The Impact of Military Expenditure on External Debt: The Case of 35 Arms Importing Countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 32(5), pages 588-599, July.
    38. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    39. Buddelmeyer, Hielke & Jensen, Paul H. & Oguzoglu, Umut & Webster, Elizabeth, 2008. "Fixed Effects Bias in Panel Data Estimators," IZA Discussion Papers 3487, Institute of Labor Economics (IZA).
    40. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    41. Adam Coutts & Adel Daoud & Ali Fakih & Walid Marrouch & Bernhard Reinsberg, 2019. "Guns and butter? Military expenditure and health spending on the eve of the Arab Spring," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(2), pages 227-237, February.
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