IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/72379.html
   My bibliography  Save this paper

The Economics of State Fragmentation: Assessing the Economic Impact of Secession - Addendum

Author

Listed:
  • Reynaerts, Jo
  • Vanschoonbeek, Jakob

Abstract

Reynaerts and Vanschoonbeek (2016) propose a semi-parametric procedure to estimate the economic impact of secession, finding empirical evidence that declaring independence significantly lowered per capita GDP in newly formed states. To demonstrate that these findings appear to hold irrespective of the estimation procedure employed, this addendum formulates a parametric approach to estimate the independence dividend. Our preferred parametric specifications comprise a dynamic, quasi-myopic model of per capita GDP dynamics that controls for country and year fixed effects, the rich dynamics of GDP, finite anticipation effects and a vector of alternative growth determinants. The results indicate that declaring independence reduces per capita GDP by around 15-20% in the long run. These results are qualitatively confirmed when we use non-regional secession waves to instrument for local incentives to secede.

Suggested Citation

  • Reynaerts, Jo & Vanschoonbeek, Jakob, 2016. "The Economics of State Fragmentation: Assessing the Economic Impact of Secession - Addendum," MPRA Paper 72379, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:72379
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/72379/2/MPRA_paper_72379.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Papke, Leslie E. & Wooldridge, Jeffrey M., 2005. "A computational trick for delta-method standard errors," Economics Letters, Elsevier, vol. 86(3), pages 413-417, March.
    2. Enrico Spolaore & Alberto Alesina & Romain Wacziarg, 2000. "Economic Integration and Political Disintegration," American Economic Review, American Economic Association, vol. 90(5), pages 1276-1296, December.
    3. Alberto Alesina & Dani Rodrik, 1994. "Distributive Politics and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 465-490.
    4. Jo Reynaerts & Jakob Vanschoonbeek, 2022. "The economics of state fragmentation: Assessing the economic impact of secession," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 82-115, January.
    5. World Bank, 2015. "World Development Indicators 2015," World Bank Publications - Books, The World Bank Group, number 21634, December.
    6. Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2019. "Democracy Does Cause Growth," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 47-100.
    7. Patrick Bolton & Gérard Roland, 1997. "The Breakup of Nations: A Political Economy Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(4), pages 1057-1090.
    8. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    9. Persson, Torsten & Tabellini, Guido, 1994. "Is Inequality Harmful for Growth?," American Economic Review, American Economic Association, vol. 84(3), pages 600-621, June.
    10. Everaert, Gerdie & Pozzi, Lorenzo, 2007. "Bootstrap-based bias correction for dynamic panels," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1160-1184, April.
    11. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    12. Anthony J. Venables, 2010. "Economic geography and African development," Papers in Regional Science, Wiley Blackwell, vol. 89(3), pages 469-483, August.
    13. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    14. Malani, Anup & Reif, Julian, 2015. "Interpreting pre-trends as anticipation: Impact on estimated treatment effects from tort reform," Journal of Public Economics, Elsevier, vol. 124(C), pages 1-17.
    15. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    16. Ignace De Vos & Gerdie Everaert & Ilse Ruyssen, 2015. "Bootstrap-based bias correction and inference for dynamic panels with fixed effects," Stata Journal, StataCorp LP, vol. 15(4), pages 986-1018, December.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thierry Madiès & Grégoire Rota-Grasiozi & Jean-Pierre Tranchant & Cyril Trépier, 2018. "The economics of secession: a review of legal, theoretical, and empirical aspects," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-18, December.
    2. Jo Reynaerts & Jakob Vanschoonbeek, 2022. "The economics of state fragmentation: Assessing the economic impact of secession," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 82-115, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jo Reynaerts & Jakob Vanschoonbeek, 2022. "The economics of state fragmentation: Assessing the economic impact of secession," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 82-115, January.
    2. Roberto Dell'Anno & Adalgiso Amendola, 2015. "Social Exclusion and Economic Growth: An Empirical Investigation in European Economies," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 274-301, June.
    3. Gründler, Klaus & Krieger, Tommy, 2016. "Democracy and growth: Evidence from a machine learning indicator," European Journal of Political Economy, Elsevier, vol. 45(S), pages 85-107.
    4. Andrew Berg & Jonathan D. Ostry & Charalambos G. Tsangarides & Yorbol Yakhshilikov, 2018. "Redistribution, inequality, and growth: new evidence," Journal of Economic Growth, Springer, vol. 23(3), pages 259-305, September.
    5. Nguyen Phuc Canh & Nguyen Thanh Binh & Su Dinh Thanh & Christophe Schinckus, 2020. "Determinants of foreign direct investment inflows: The role of economic policy uncertainty," International Economics, CEPII research center, issue 161, pages 159-172.
    6. Gravier-Rymaszewska, Joanna & Tyrowicz, Joanna & Kochanowicz, Jacek, 2010. "Intra-provincial inequalities and economic growth in China," Economic Systems, Elsevier, vol. 34(3), pages 237-258, September.
    7. Opolska, Iweta, 2017. "The efficacy of liberalization and privatization in introducing competition into European natural gas markets," Utilities Policy, Elsevier, vol. 48(C), pages 12-21.
    8. Grundmann, Rainer & Gries, Thomas, 2015. "Crucial for Modern Sector Development? The Role of Exports and Institutions in Developing Countries," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112962, Verein für Socialpolitik / German Economic Association.
    9. Veronica Amarante, 2014. "Revisiting Inequality and Growth: Evidence for Developing Countries," Growth and Change, Wiley Blackwell, vol. 45(4), pages 571-589, December.
    10. Jiang, Haiyun & Xu, Shulin & Cui, Jingwen & Subhani, Ghulam, 2023. "The impact of bank capital, liquidity and funding liquidity on sustainable bank lending: Evidence from MENA region," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 713-726.
    11. José Carlos Coelho & José Alves, 2021. "How inequality drives growth: an investigation of the transmission channels for OECD countries," Working Papers REM 2021/0194, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    12. Jorge Rojas-Vallejos & Stephen J. Turnovsky, 2017. "Tariff Reduction and Income Inequality: Some Empirical Evidence," Open Economies Review, Springer, vol. 28(4), pages 603-631, September.
    13. Mitze, Timo & Reinkowski, Janina, 2010. "Testing the Validity of the Neoclassical Migration Model: Overall and Age-Group Specific Estimation Results for German Spatial Planning Regions," MPRA Paper 23616, University Library of Munich, Germany.
    14. Gründler, Klaus & Scheuermeyer, Philipp, 2015. "Income inequality, economic growth, and the effect of redistribution," W.E.P. - Würzburg Economic Papers 95, University of Würzburg, Department of Economics.
    15. Ünal Töngür & Adem Yavuz Elveren, 2017. "The nexus of economic growth, military expenditures, and income inequality," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1821-1842, July.
    16. Onur Özdemir, 2020. "The handicap for enhanced solidarity across advanced economies: The greater the economic openness higher the unequal distribution of income," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 91(4), pages 585-632, December.
    17. Max Kohler & Stefan Sperlich & Jisu Yoon, 2019. "A Varying Coefficient Model for Assessing the Returns to Growth to Account for Poverty and Inequality," Papers 1903.02390, arXiv.org.
    18. Islam, Md. Rabiul & McGillivray, Mark, 2020. "Wealth inequality, governance and economic growth," Economic Modelling, Elsevier, vol. 88(C), pages 1-13.
    19. Gründler, Klaus & Scheuermeyer, Philipp, 2018. "Growth effects of inequality and redistribution: What are the transmission channels?," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 293-313.
    20. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.

    More about this item

    Keywords

    Independence dividend; panel data; dynamic model; generalized method of moments; bootstrap-based bias correction; instrumental variable regression;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:72379. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.