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1
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84926273672
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Assessing the Effect of Military Expenditure on OECD Economies: A Survey
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Arms Control, (May)
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Ron P. Smith and George Georgiou, “Assessing the Effect of Military Expenditure on OECD Economies: A Survey,” Arms Control 13, 4 (May 1983): 15.
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(1983)
, vol.13
, Issue.4
, pp. 15
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Smith, R.P.1
Georgiou, G.2
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2
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84924121284
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Domestic Constraints on International Economic Leverage
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See, ed. Klaus Knorr and Frank N. Trager (Lawrence: University Press of Kansas, 1977), 160; Barbara Haskel, “Access to Society: A Neglected Dimension of State Power,” International Organization 34, 4 (Winter 1980): 89-120; Jacek Kugler and William Domke, “Comparing the Strength of Nations,” Comparative Political Studies 19,1 (April 1986): Lewis W. Snider, “Identifying the Elements of State Power: Where Do We Begin?” Comparative Political Studies 20, 3 (October 1987): 314-56; and Joel S. Migdal, Strong Societies and Weak States: State-Society Relations and State Capabilities in the Third World (Princeton, N.J.: Princeton University Press).
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See Stephen D. Krasner, “Domestic Constraints on International Economic Leverage,” in Economic Issues and National Security, ed. Klaus Knorr and Frank N. Trager (Lawrence: University Press of Kansas, 1977), 160; Barbara Haskel, “Access to Society: A Neglected Dimension of State Power,” International Organization 34, 4 (Winter 1980): 89-120; Jacek Kugler and William Domke, “Comparing the Strength of Nations,” Comparative Political Studies 19,1 (April 1986): 39-69; Lewis W. Snider, “Identifying the Elements of State Power: Where Do We Begin?” Comparative Political Studies 20, 3 (October 1987): 314-56; and Joel S. Migdal, Strong Societies and Weak States: State-Society Relations and State Capabilities in the Third World (Princeton, N.J.: Princeton University Press, 1988).
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(1988)
in Economic Issues and National Security
, pp. 39-69
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Krasner, S.D.1
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3
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84970691792
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Domestic Constraints
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Krasner, “Domestic Constraints,” 160.
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Krasner1
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4
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84970727623
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(Princeton, N.J.: Princeton University Press)
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Nicole Ball, Security and Economy in the Third World (Princeton, N.J.: Princeton University Press, 1988), 207-10.
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(1988)
Security and Economy in the Third World
, pp. 207-210
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Ball, N.1
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6
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0024183557
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Classes, Sectors, and Foreign Debt in Latin America
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See, (October)
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See Jeff Frieden, “Classes, Sectors, and Foreign Debt in Latin America,” Comparative Politics 21, 1 (October 1988): 3-6.
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(1988)
Comparative Politics
, vol.21
, Issue.1
, pp. 3-6
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Frieden, J.1
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7
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0003220705
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Financial Policy and Economic Infrastructure of Modern States and Nations
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ed. Charles Tilly (Princeton, N.J.: Princeton University Press)
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Gabriel Ardant, “Financial Policy and Economic Infrastructure of Modern States and Nations,” in The Formation of National States in Western Europe, ed. Charles Tilly (Princeton, N.J.: Princeton University Press, 1975), 220.
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(1975)
in The Formation of National States in Western Europe
, pp. 220
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Ardant, G.1
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8
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84970711278
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A Regression Approach to Tax Effort and Tax Ratio Analysis
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See, IMF Staff Papers 18, 3 (November 1971): 570-610; Raja J. Chelliah, IMF Staff Papers 18, 2 (July 1971); 254-321; Jorgen R. Lotz and Elliot R. Morss, “A Theory of Tax Level Determinants for Developing Countries,” Economic Development and Cultural Change 18, 3 (April 1970): 328-41; and Alan A. Tait, Wilfrid L. M. GrMz and Barry J. Eichengreen, “International Comparisons of Taxation for Selected Developing Countries, 1972-1976,” IMF Staff Papers 26, 1 (March)
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See Roy W. Bahl, “A Regression Approach to Tax Effort and Tax Ratio Analysis,” IMF Staff Papers 18, 3 (November 1971): 570-610; Raja J. Chelliah, “Trends in Taxation in Developing Countries,” IMF Staff Papers 18, 2 (July 1971); 254-321; Jorgen R. Lotz and Elliot R. Morss, “A Theory of Tax Level Determinants for Developing Countries,” Economic Development and Cultural Change 18, 3 (April 1970): 328-41; and Alan A. Tait, Wilfrid L. M. GrMz and Barry J. Eichengreen, “International Comparisons of Taxation for Selected Developing Countries, 1972-1976,” IMF Staff Papers 26, 1 (March 1979): 123-56.
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(1979)
Trends in Taxation in Developing Countries
, pp. 123-156
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Bahl, R.W.1
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9
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84970732743
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Trends in Taxation
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See, 282, 291-293; and Raja J. Chelliah, Hassel Bass, and Margaret Kelly, “Tax Ratios and Tax Effort in Developing Countries, 1969-1971,” IMF Staff Papers 22, 2 (March)
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See Chelliah, “Trends in Taxation,” 282, 291-293; and Raja J. Chelliah, Hassel Bass, and Margaret Kelly, “Tax Ratios and Tax Effort in Developing Countries, 1969-1971,” IMF Staff Papers 22, 2 (March 1975): 197-240.
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(1975)
, pp. 197-240
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Chelliah1
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11
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84973795134
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Political Strength, Economic Structure, and the Debt Servicing Potential of Developing Countries
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See Lewis W. Snider, Comparative Political Studies 20, 4 (January):
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Space limitations do not permit a summary of the estimation of predicted revenue extraction. See Lewis W. Snider, “Political Strength, Economic Structure, and the Debt Servicing Potential of Developing Countries,” Comparative Political Studies 20, 4 (January 1988): 455-88.
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(1988)
Space limitations do not permit a summary of the estimation of predicted revenue extraction.
, pp. 455-488
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12
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84970683352
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The countries the World Bank classifies as are Argentina
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Bolivia, Brazil, Chile, Colombia, Costa Rica, Ecuador, Cote dTvoire, Jamaica, Mexico, Morocco, Nigeria, Peru, Philippines, Uruguay, Venezuela, and Yugoslavia. The other countries are: Algeria, Egypt, Ghana, India, Indonesia, Israel, Liberia, Malaysia, Pakistan, South Africa, South Korea, Sudan, Tanzania, Thailand, Turkey, Uganda, Zaire, and Zambia.
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The countries the World Bank classifies as “highly indebted” are Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Ecuador, Cote dTvoire, Jamaica, Mexico, Morocco, Nigeria, Peru, Philippines, Uruguay, Venezuela, and Yugoslavia. The other countries are: Algeria, Egypt, Ghana, India, Indonesia, Israel, Liberia, Malaysia, Pakistan, South Africa, South Korea, Sudan, Tanzania, Thailand, Turkey, Uganda, Zaire, and Zambia.
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14
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84970644687
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However, the kind of hardware required to deal with internal insurgencies seldom requires expensive imported weapons such as main battle tanks, sophisticated fighter aircraft, elaborate air defense systems or major surface vessels. Acquisition of these classes of weapons can dramatically increase military budgets and the amount spent on arms imports. In this study, the average size of the military budget for countries not facing an external threat is 13.5 percent of central government expenditures-about half the average budget share of the Third World debtors facing an external threat (25%).
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Some countries, such as the Philippines and Peru, are facing serious internal security threats. However, the kind of hardware required to deal with internal insurgencies seldom requires expensive imported weapons such as main battle tanks, sophisticated fighter aircraft, elaborate air defense systems or major surface vessels. Acquisition of these classes of weapons can dramatically increase military budgets and the amount spent on arms imports. In this study, the average size of the military budget for countries not facing an external threat is 13.5 percent of central government expenditures-about half the average budget share of the Third World debtors facing an external threat (25%).
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Some countries, such as the Philippines and Peru, are facing serious internal security threats.
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16
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84970644987
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Data are from the World Bank, World Debt Tables, various editions. Government deficit and government consumption are expressed as percentages of central government expenditures, the source of which is the World Bank, World Tables 1987 (4th ed.). Arms imports as a percentage of total imports, arms exports as a percentage of total exports, and military expenditures as a percent of central government expenditures are from the Arms Control and Disarmament Agency, World Military Expenditures and Arms Transfers (Washington, D.C., various years). The main source for value of military production is Michael Brzoska and Thomas Ohlson, eds. Arms Production in the Third World (London & Philadelphia: Taylor and Francis), appendix 1. Military production data expressed in constant dollars were converted into current dollars and divided by the current value of GDP. Interest rates on commercial sovereign loans are measured by the London Interbank Offer Rate (LIBOR) on U.S. dollar deposits. This is the rate of interbank transactions and reflects the banks’ cost of raising funds. Data on the LIBOR are from the International Monetary Fund (IMF), International Financial Statistics (Washington, D.C., various years).
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The dependent variable is total external public and publicly guaranteed debt as a percentage of exports of goods and services. Data are from the World Bank, World Debt Tables, various editions. Government deficit and government consumption are expressed as percentages of central government expenditures, the source of which is the World Bank, World Tables 1987 (4th ed.). Arms imports as a percentage of total imports, arms exports as a percentage of total exports, and military expenditures as a percent of central government expenditures are from the Arms Control and Disarmament Agency, World Military Expenditures and Arms Transfers (Washington, D.C., various years). The main source for value of military production is Michael Brzoska and Thomas Ohlson, eds. Arms Production in the Third World (London & Philadelphia: Taylor and Francis, 1986), appendix 1. Military production data expressed in constant dollars were converted into current dollars and divided by the current value of GDP. Interest rates on commercial sovereign loans are measured by the London Interbank Offer Rate (LIBOR) on U.S. dollar deposits. This is the rate of interbank transactions and reflects the banks’ cost of raising funds. Data on the LIBOR are from the International Monetary Fund (IMF), International Financial Statistics (Washington, D.C., various years).
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(1986)
The dependent variable is total external public and publicly guaranteed debt as a percentage of exports of goods and services.
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17
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84970734353
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Data are from the IMF, Government Financial Statistics, various years. The growth rate is the rate of change in current GDP. The source for this variable is the World Bank, World Tables 1989, 5th ed. (Washington, D.C.). Debt service is represented by the ratio of total debt service divided by the value of exports of goods and services; see World Bank, World Debt Tables, various editions.
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The mobilization ratio is the ratio of the percentage of government revenue from direct taxes, divided by the percentage of central government revenue from trade taxes. Data are from the IMF, Government Financial Statistics, various years. The growth rate is the rate of change in current GDP. The source for this variable is the World Bank, World Tables 1989, 5th ed. (Washington, D.C., 1989). Debt service is represented by the ratio of total debt service divided by the value of exports of goods and services; see World Bank, World Debt Tables, various editions.
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(1989)
The mobilization ratio is the ratio of the percentage of government revenue from direct taxes, divided by the percentage of central government revenue from trade taxes.
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18
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84970715017
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For example, countries such as Argentina and Bolivia have very low mobilization ratios while others, such as Israel and South Africa, have very high ratios. The extreme ends of the distribution of such highly skewed variables must be compressed. Log transformations pull the extreme values closer to the mean without changing the relative distance of the observations from one another. The result is a more symmetrical distribution, which means it resembles more closely a normal distribution. That in turn helps meet the statistical assumptions upon which the regression model is based.
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Some of the causal variables are expressed in natural logarithms because their distributions are highly skewed. For example, countries such as Argentina and Bolivia have very low mobilization ratios while others, such as Israel and South Africa, have very high ratios. The extreme ends of the distribution of such highly skewed variables must be compressed. Log transformations pull the extreme values closer to the mean without changing the relative distance of the observations from one another. The result is a more symmetrical distribution, which means it resembles more closely a normal distribution. That in turn helps meet the statistical assumptions upon which the regression model is based.
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Some of the causal variables are expressed in natural logarithms because their distributions are highly skewed.
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19
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84970717644
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Additional programs it adopted in subsequent years are added to that cumulative total. Data are from the IMF Annual Report of the Executive Directors (various years) and from Peter Korner, Gero Maass, Thomas Siebold, and Rainer Tetzlaff, The IMF and the Debt Crisis: A Guide to the Third World's Dilemma (London: Zed Books), appendix 2.
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This is the total number of IMF-supported stabilization programs a country concluded with the IMF between 1953 and 1974. Additional programs it adopted in subsequent years are added to that cumulative total. Data are from the IMF Annual Report of the Executive Directors (various years) and from Peter Korner, Gero Maass, Thomas Siebold, and Rainer Tetzlaff, The IMF and the Debt Crisis: A Guide to the Third World's Dilemma (London: Zed Books, 1984), appendix 2.
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(1984)
This is the total number of IMF-supported stabilization programs a country concluded with the IMF between 1953 and 1974.
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20
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84970735972
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See World Bank, World Development Report, World Development Indicators, Table 30 (Washington, D.C., various years). Since many data are missing from this series, estimated values were generated by analysis of covariance where the income data were regressed on measures of per capita income, type of regime, level of industrialization, distribution of tax burden and level of development. This accounted for 90 percent of the variation in the original data. A comparison of estimated values for cases where the actual figures were available showed only slight differences between the two series.
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Income distribution is operationalized as the percentage of disposable household income held by the wealthiest 10 percent of the population. See World Bank, World Development Report, World Development Indicators, Table 30 (Washington, D.C., various years). Since many data are missing from this series, estimated values were generated by analysis of covariance where the income data were regressed on measures of per capita income, type of regime, level of industrialization, distribution of tax burden and level of development. This accounted for 90 percent of the variation in the original data. A comparison of estimated values for cases where the actual figures were available showed only slight differences between the two series.
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Income distribution is operationalized as the percentage of disposable household income held by the wealthiest 10 percent of the population.
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21
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84970727109
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Capital Flight: Estimates, Issues, and Explanations
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(Princeton, N.J.: Department of Economics, Princeton University). It is defined as net short-term capital outflows of the nonbank private sector plus recorded errors and omissions. Capital flight is essentially a short-run, “hot money” phenomenon so that a large number of capital flight transactions are hidden from the authorities and will only appear residually as errors and omissions in the balance of payments statistics. Data for this variable are from the IMF, Balance of Payments Statistics (various years).
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The measurement of capital flight follows the method explained in John Cuddington, “Capital Flight: Estimates, Issues, and Explanations,” Studies in International Finance, no. 58 (Princeton, N.J.: Department of Economics, Princeton University, 1986). It is defined as net short-term capital outflows of the nonbank private sector plus recorded errors and omissions. Capital flight is essentially a short-run, “hot money” phenomenon so that a large number of capital flight transactions are hidden from the authorities and will only appear residually as errors and omissions in the balance of payments statistics. Data for this variable are from the IMF, Balance of Payments Statistics (various years).
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(1986)
The measurement of capital flight follows the method explained in John Cuddington
, Issue.58
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