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Does the IMF cause civil war? A comment

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Abstract

The global economic downturn has heightened concerns about intervention by global financial institutions and political stability. One prominently-published article purports to show that signing on to an IMF structural adjustment program (SAP) increases the risk of civil war, Hartzell et al. (International Organization 64:339–56, 2010). The authors claim that IMF SAPs push liberalization, which hurts people badly enough that they foment civil war. We advance the debate by critically examining their theoretical and empirical evidence, particularly questioning their crucial assumptions about the impact of IMF programs on the economic environment in terms of who actually wins and loses from liberalization and who might be in a position to rebel. Using their data, we find that signing on to an IMF program predicts the onset of a civil war negatively if one uses a lower threshold of 25 deaths when defining civil war. These results suggest that the operationalization of the IMF variable as well as the use of large-scale civil war (1,000 deaths and above) simply capture the effect of ongoing conflict rather than the effects of liberalization. After extending the time period under study and making only minor changes to operationalization, we find that at no time does IMF involvement successfully predict the onset of a civil war.

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Notes

  1. See New York Times, The Bitter Pills in the Plan to Rescue Greece (30th April, 2010). The ‘Washington consensus’ is a term coined for specific policy package of liberalization, which pushes the opening up of markets, privatization, the removal of price supports, and the balancing of budgets etc. (Williamson 1994).

  2. Abouharb and Cingranelli (2007) present comparable results in a study using a similar design. Their study covers the years 1981–1999, using the same variable for IMF participation as HHB. Contrarily Rowlands and Joseph (2003) find a negative and significant relationship between IMF programs and civil conflict. Their study is limited to 10 years between 1985 and 1995, and the authors find that their results are not robust to alternative specifications, Bussmann et al. (2005) find no effect of IMF program participation on the risk of civil war in a sample of Sub Saharan African countries. Previous studies, thus, are limited and the results highly mixed.

  3. See Bosker and De Ree (2011) for numerous examples of civil war spillover in different parts of the globe.

  4. As a further robustness check, we replace Kegley and Hook’s (1991) measure of UNGA voting with Thacker’s (1999). He codes votes in agreement with the US as 1, votes in disagreement as 0, and abstentions as 0.5. Our results remain robust to using UNGA voting based on Thacker’s (1999) index.

  5. See Cheibub et al. (2010) for a detailed discussion on classifying democracies and dictatorships.

  6. Note that the results of signing on to the IMF also remain statistically insignificant when including the count of years a country has been under an IMF program.

  7. The results are presented in Table 2 of the online appendix available on this journal’s website.

  8. The results appear in Table 3 in the online appendix on this journal’s website. Apart from joint F-statistics, we also use the Cragg-Donald test of the null that the model is under identified, i.e., the UNGA voting index does not sufficiently identify IMF program participation (Cragg and Donald 1993). However, the Cragg-Donald test allows us to reject the null hypothesis that the model is under identified.

  9. We find no statistical significance of the UNGA voting index constructed using Kegley and Hook’s method on the onset of civil war. However, the UNGA voting index constructed using Thacker’s method did not pass the test of overidentifying restriction. These results are also displayed in an online appendix (Table 4) on the journal’s website.

References

  • Abouharb, R. M., & Cingranelli, D. L. (2007). Human rights and structural adjustment. Cambridge: Cambridge University Press.

    Google Scholar 

  • Balla, E., & Reinhardt, G. Y. (2008). Giving and receiving foreign aid: Does conflict count? World Development, 36, 2566–2585.

    Article  Google Scholar 

  • Barro, R. J., & Lee, J. (2005). IMF programs: Who is chosen and what are the effects? Journal of Monetary Economics, 52, 1245–1269.

    Article  Google Scholar 

  • Bird, G., & Rowlands, D. (2006). The demand for IMF assistance: What factors influence the decision to turn to the IMF? In G. Ranis, J. R. Vreeland, & S. Kosack (Eds.), Globalization and the Nation State: The impact of the IMF and the world bank (pp. 231–262). London: Routledge.

    Chapter  Google Scholar 

  • Bird, G., Hussain, M., & Joyce, J. P. (2004). Many happy returns? Recidivism and the IMF. Journal of International Money and Finance, 23, 231–251.

    Article  Google Scholar 

  • Boockmann, B., & Dreher, A. (2003). The contribution of the IMF and the world bank to economic freedom. European Journal of Political Economy, 19, 633–649.

    Article  Google Scholar 

  • Bosker, M., & de Ree, J. (2011). Ethnicity and the spread of civil war. London: CEPR. CEPR Discussion Paper 8055.

    Google Scholar 

  • Bound, J., Jaeger, D. A., & Baker, R. M. (1995). Problems with instrumental variables estimation when the correlation between the instrument and the endogenous explanatory variable is weak. Journal of the American Statistical Association, 90(430), 443–450.

    Google Scholar 

  • Buhaug, H. (2010). Climate Not to Blame for African Civil Wars. In Climate Change and Security. Trondheim, Norway.

  • Bussmann, M., Schneider, G., & Wiesehomeier, N. (2005). Foreign economic liberalization and peace: The case of Sub-Saharan Africa. European Journal of International Relations, 11, 551–579.

    Article  Google Scholar 

  • Cheibub, J. A., Gandhi, J., & Vreeland, J. R. (2010). Democracy and dictatorship revisited. Public Choice, 143, 67–101.

    Article  Google Scholar 

  • Claessen, E. M., & Salin, P. (1991). The impact of stabilization and structural adjustment policies on the rural sector: Case-studies of Côte dIvoire, Senegal, Liberia, Zambia and Morocco. Rome: Food and Agriculture Organization (FAO).

    Google Scholar 

  • Collier, P., & Gunning, J. W. (1999). The IMFs role in structural adjustment. The Economic Journal, 109, 634–651.

    Article  Google Scholar 

  • Cragg, J. G., & Donald, S. G. (1993). Testing identifiability and specification in instrumental variables models. Econometric Theory, 9, 222–240.

    Article  Google Scholar 

  • de Soysa, I. (2011). The hidden hand wrestles rebellion: Theory and evidence on how economic freedom prevents civil violence. Studies in Ethnicity and Nationalism, 11, 285–297.

    Article  Google Scholar 

  • de Soysa, I., & Vadlamannati, K.C. (2012). Do pro-market economic reforms drive human rights violations? An empirical assessment, 1981–2006. Public choice TBA.

  • de Soysa, I., & Fjelde, H. (2010). Is the hidden hand an iron fist? Capitalism and the onset of civil war, 1970–2005. Journal of Peace Research, 47, 287–298.

    Article  Google Scholar 

  • Dreher, A., & Sturm, J.-E. (2012). Do the IMF and the world bank influence voting in the UN general assembly? Public Choice, 151(1), 363–397.

    Article  Google Scholar 

  • Dreher, A., & Rupprecht, S. M. (2007). IMF programs and reforms: Inhibition or encouragement? Economic Letters, 95, 320–326.

    Article  Google Scholar 

  • Dreher, A. (2006). IMF and economic growth: The effects of programs, loans, and compliance with conditionality. World Development, 34, 769–788.

    Article  Google Scholar 

  • Dreher, A. (2004). A public choice perspective on IMF and world bank lending and conditionality. Public Choice, 119, 445–464.

    Article  Google Scholar 

  • Easterly, W. (2005). What did structural adjustment adjust? The association of policies and growth with repeated IMF and world bank adjustment loans. Journal of Development Economics, 76, 1–22.

    Google Scholar 

  • Elbadawi, I., & Hegre, H. (2008). Globalization, economic shocks, and internal armed conflict. Defence and Peace Economics, 19, 37–60.

    Article  Google Scholar 

  • Fearon, J. D., & Laitin, D. D. (2003). Ethnicity, insurgency, and civil war. American Political Science Review, 97, 75–90.

    Article  Google Scholar 

  • Gleditsch, N. P., Wallensteen, P., Eriksson, M., Sollenberg, M., & Strand, H. (2002). Armed conflict 1946–2001: A new dataset. Journal of Peace Research, 39, 615–637.

    Article  Google Scholar 

  • Gupta, S. (2005). Rebuilding fiscal institutions in postconflict countries. Washington: The Fund. Occasional Paper.

    Google Scholar 

  • Harbom, L., & Wallensteen, P. (2009). Armed conflicts, 1946–2009. Journal of Peace Research, 47, 501–509.

    Article  Google Scholar 

  • Hartzell, C. A., Hoddie, M., & Bauer, M. (2010). Economic liberalization via IMF structural adjustment: Sowing the seeds of civil war? International Organization, 64, 339–356.

    Article  Google Scholar 

  • Hegre, H., & Sambanis, N. (2006). Sensitivity analysis of empirical results on civil war onset. Journal of Conflict Resolution, 50, 508–535.

    Article  Google Scholar 

  • Kahn, M. S., & Sharma, S. (2006). IMF conditionality and ownership of adjustment programs. In A. Mody & A. Rebucci (Eds.), IMF-supported programs: Recent staff research (pp. 119–130). Washington: International Monetary Fund (IMF).

    Google Scholar 

  • Kegley, C. W., Jr., & Hook, S. W. (1991). US foreign aid and UN voting: Did Reagan’s linkage strategy buy deference or defiance? International Studies Quarterly, 35, 295–312.

    Article  Google Scholar 

  • Laeven, L., & Valencia, F. (2008). Systemic banking crises: A new database. In IMF Working Papers.

  • Michailof, S., Kostner, M., Devictor, X. (2002). Post-Conflict Recovery in Africa; an Agenda for the Africa Region In A. Waldburger (Ed.), Africa Region Working Paper Series. World Bank.

  • Mousseau, M., & Mousseau, D. Y. (2008). The contracting roots of human rights. Journal of Peace Research, 45, 327–344.

    Article  Google Scholar 

  • Nooruddin, I., & Simmons, J. W. (2006). The politics of hard choices: IMF programs and government spending. International Organization, 60, 1001–1033.

    Article  Google Scholar 

  • Rowlands, D., & Joseph, T. (2003). The international monetary fund and civil conflict. In D. Carment & A. Schnabel (Eds.), Conflict prevention: Grand illusion or path to peace? Tokyo: UN University Press.

  • Staiger, D., & Stock, J. H. (1997). Instrumental variables regression with weak instruments. Econometrica, 65(3), 557–586.

    Google Scholar 

  • Steinberg, D. A., & Saideman, S. M. (2008). Laissez fear: Assessing the impact of government involvement in the economy and ethnic violence. International Studies Quarterly, 52, 235–259.

    Article  Google Scholar 

  • Stiglitz, J. E. (2002). Globalization and its discontents. London: W.W. Norton.

    Google Scholar 

  • Stone, R. W. (2004). The political economy of IMF lending in Africa. American Political Science Review, 98, 577–591.

    Article  Google Scholar 

  • Thacker, S. C. (1999). The high politics of IMF lending. World Politics, 52, 38–75.

    Article  Google Scholar 

  • Themnér, L., & Wallensteen, P. (2012). Armed conflict, 1946–2011. Journal of Peace Research, 49, 565–575.

    Article  Google Scholar 

  • Treier, S., & Jackman, S. (2008). Democracy as a latent variable. American Journal of Political Science, 52, 201–217.

    Article  Google Scholar 

  • Vreeland, J. (2003). The IMF and economic development. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Vreeland, J. R. (2006). IMF program compliance: Aggregate index vs specific research strategies. The Review of International Organizations, 1, 359–378.

    Article  Google Scholar 

  • Ward, M. D., Greenhill, B. D., & Bakke, K. M. (2010). The perils of policy by p-value: Predicting civil conflicts. Journal of Peace Research, 47, 363–375.

    Article  Google Scholar 

  • Williamson, J. (Ed.). (1994). The political economy of policy reform. Washington, DC: Institute for International Economics.

  • Woods, N. (2006). The globalizers: The IMF, the world bank and their borrowers. London: Cornell University Press.

    Google Scholar 

  • World Bank (2011). The world development indicators, CD-rom. Washington, DC: The World Bank.

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Authors’ note

We are extremely grateful to Caroline Hartzell for sharing data. We are thankful to the Editor and three anonymous referees for their valuable comments. We also thank Hannes Öhler and James Vreeland for invaluable input. Only we are to blame for any errors.

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Correspondence to Indra de Soysa.

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Appendices

Appendix 1

Table 3 Descriptive statistics

Appendix 2

Table 4 Data definitions and sources

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Midtgaard, T.M., Vadlamannati, K.C. & de Soysa, I. Does the IMF cause civil war? A comment. Rev Int Organ 9, 107–124 (2014). https://doi.org/10.1007/s11558-013-9167-z

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