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Smith, Ron P.; Cavatorta, Elisa (2016)
Publisher: Birkbeck College, University of London
Languages: English
Types: Article
Subjects: ems
Strategic interactions between countries, such as arms races, alliances and wider economic and political shocks, can induce strong cross-sectional dependence in models of military expenditures using panel data. If the assumption of cross-sectional independence fails, standard panel estimators such as fixed or random effects can lead to misleading inference. This paper shows how to improve estimation of dynamic, heterogenous, panel models of the demand for military expenditure allowing for cross-sectional dependence in errors using two approaches: Principal Components and Common Correlated Effect estimators. Our results show that it is crucial to allow for cross-section dependence and there are large gains in it by allowing for both dynamics and between country heterogeneity in demand models of military expenditures. Our estimates show that mean group estimation of error correction models using the Common Correlated Effect approach provides an effective modelling framework.
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    • Bai, Jushan (2009), `Panel data models with interactive xed e ects', Econometrica 77(4), 1229{1279.
    • Brauner, Jennifer (2015), `Military spending and democracy', Defence and Peace Economics 26(4), 409{423.
    • Breitung, Jorg and M Hashem Pesaran (2008), `Unit roots and cointegration in panels', The Econometrics of Panel Data pp. 279{322.
    • Cavatorta, Elisa (2010), `Unobserved common factors in military expenditure interactions across mena countries', Defence and Peace Economics 21(4), 301{316.
    • Chudik, Alexander and M Hashem Pesaran (2011), `In nite-dimensional vars and factor models', Journal of Econometrics 163(1), 4{22.
    • Chudik, Alexander and M Hashem Pesaran (2013), `Econometric analysis of high dimensional vars featuring a dominant unit', Econometric Reviews 32(5-6), 592{ 649.
    • Chudik, Alexander and M Hashem Pesaran (2015a), `Common correlated e ects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors', Journal of Econometrics 188(2), 393{420.
    • Chudik, Alexander and M Hashem Pesaran (2015b), Large panel data models with cross-sectional dependence: a survey, in B.Baltagi, ed., `The Oxford Handbook on Panel Data', Oxford University Press, chapter 1.
    • Coakley, Jerry, Ana-Maria Fuertes and Ron Smith (2006), `Unobserved heterogeneity in panel time series models', Computational Statistics & Data Analysis 50(9), 2361{2380.
    • Collier, Paul and Anke Hoe er (2007), `Unintended consequences: Does aid promote arms races?', Oxford Bulletin of Economics and Statistics 69(1), 1{27.
    • Dunne, J Paul and Ron P Smith (2007), The econometrics of military arms races, in T.Sandler and K.Hartley, eds, `Handbook of Defense Economics', Vol. 2, Elsevier, pp. 913{940.
    • Dunne, J Paul, Sam Perlo-Freeman and Ron P Smith (2008), `The demand for military expenditure in developing countries: hostility versus capability', Defence and Peace Economics 19(4), 293{302.
    • Kapetanios, George, M Hashem Pesaran and Takashi Yamagata (2011), `Panels with non-stationary multifactor error structures', Journal of Econometrics 160(2), 326{348.
    • Murdoch, James C (1995), `Military alliances: Theory and empirics', Handbook of Defense Economics 1, 89{108.
    • Pesaran, M Hashem (2006), `Estimation and inference in large heterogeneous panels with a multifactor error structure', Econometrica 74(4), 967{1012.
    • Pesaran, M Hashem (2015), Time-series and panel data econometrics for macroeconomics and nance, Oxford University Press.
    • Pesaran, M Hashem and Elisa Tosetti (2011), `Large panels with common factors and spatial correlation', Journal of Econometrics 161(2), 182{202.
    • Pesaran, M Hashem and P. Ron Smith (1995), `Estimating long-run relationships from dynamic heterogeneous panels', Journal of econometrics 68(1), 79{113.
    • Pesaran, M Hashem and Ron P Smith (2014), `Signs of impact e ects in time series regression models', Economics Letters 122(2), 150{153. W - d l
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