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Volumn 33, Issue 4, 2001, Pages 463-473

Democracy and economic growth: A causal analysis

(2)  Heo, Uk a   Tan, Alexander C a  

a NONE

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0039178037     PISSN: 00104159     EISSN: None     Source Type: Journal    
DOI: 10.2307/422444     Document Type: Article
Times cited : (73)

References (57)
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    • Jung, W.S.1    Marshall, P.J.2
  • 28
    • 84924304542 scopus 로고    scopus 로고
    • Bilson
    • Bilson.
  • 29
    • 84924304541 scopus 로고    scopus 로고
    • Bilson, p. 106
    • Bilson, p. 106.
  • 32
    • 84924304540 scopus 로고    scopus 로고
    • Burkhart and Lewis-Beck; Feng; Londregan and Pool
    • Burkhart and Lewis-Beck; Feng; Londregan and Pool.
  • 33
    • 84924304539 scopus 로고    scopus 로고
    • Burkhart and Lewis-Beck
    • Burkhart and Lewis-Beck.
  • 40
    • 84924304538 scopus 로고    scopus 로고
    • note
    • In a review of empirical studies investigating the relationship between democracy and economic growth, Przeworski and Limongi found inconclusive evidence to support the hypothesis that democracies grow faster than nondemocracies.
  • 42
    • 60449115636 scopus 로고    scopus 로고
    • Zehra Arat, Democracy and Human Rights (Boulder: Lynne Rienner, 1991). One concern that has been raised is whether these various democracy data sets are tapping the same concept. Bollen, "Liberal Democracy," pointed out that some data sets are laden with measurement error that may have an impact on overall findings and conclusions. Burkhart and Lewis-Beck employed Gastil's data set because, according to them, it has been found to have the fewest measurement errors. To check whether we are tapping into the same phenomenon and to see how Arat's new data set is correlated with others, we ran a simple Pearson correlation on Gastil's scores and Arat's scores on 146 countries for 1980. We found that the two data sets are highly correlated (-0.80, significant at the 0.001 level). The negative correlation is expected because Gastil's scores range from 1 for democracy to 7 for nondemocracies, while Arat's high scores reflect a higher level of "democraticness." Arat, Democracy and Human Rights, p. 28, also provided correlation scores for her democracy scores and existing democracy indices. For example, the correlation between Bollen's 1960 and 1965 scores with Arat's scores is 0.90 (n=106) and 0.90 (n=104), respectively.
    • (1991) Democracy and Human Rights
    • Arat, Z.1
  • 43
    • 84924304537 scopus 로고    scopus 로고
    • note
    • The countries that cover a different time period due to the lack of data availability are Argentina (1949-82), Brazil (1958-80), Burma (1953-82), Chile (1955-82), Egypt (1955-82), El Salvador (1951-82), India (1955-82), Indonesia (1960-82), Iran (1959-82), Israel (1953-82), Korea (1953-82), Pakistan (1955-82), Panama (1959-82), The Philippines (1951-82), Thailand (1952-82), Uruguay (1955-82).
  • 44
    • 84924304536 scopus 로고    scopus 로고
    • note
    • The level of democracy is calculated according to the following equation: Score of democraticness = [(Participation × (1 + Inclusiveness) + Competitiveness] - Coercieness.
  • 45
    • 0003334267 scopus 로고
    • Military expenditure data for developing countries: Methods and measurement
    • Geoffrey Lamb, ed., Washington, D.C.: World Bank Discussion Papers
    • Somnath Sen, "Military Expenditure Data for Developing Countries: Methods and Measurement," in Geoffrey Lamb, ed., Military Expenditure and Economic Development (Washington, D.C.: World Bank Discussion Papers, 1995).
    • (1995) Military Expenditure and Economic Development
    • Sen, S.1
  • 46
    • 84924304535 scopus 로고    scopus 로고
    • note
    • Consumer price index was used to convert current values to constant values for Brazil, Egypt, India, Peru, and Thailand.
  • 48
    • 84891551627 scopus 로고
    • Granger causality and the time series analysis of political relationship
    • John R. Freeman, "Granger Causality and the Time Series Analysis of Political Relationship," American Journal of Political Science, 27 (1983), 337-58; C. W. J. Granger, "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, 37 (1969), 424-38; Peter Kennedy, A Guide to Econometrics (Cambridge, Mass.: MIT Press, 1991), p. 68.
    • (1983) American Journal of Political Science , vol.27 , pp. 337-358
    • Freeman, J.R.1
  • 49
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • John R. Freeman, "Granger Causality and the Time Series Analysis of Political Relationship," American Journal of Political Science, 27 (1983), 337-58; C. W. J. Granger, "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, 37 (1969), 424-38; Peter Kennedy, A Guide to Econometrics (Cambridge, Mass.: MIT Press, 1991), p. 68.
    • (1969) Econometrica , vol.37 , pp. 424-438
    • Granger, C.W.J.1
  • 50
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    • Cambridge, Mass.: MIT Press
    • John R. Freeman, "Granger Causality and the Time Series Analysis of Political Relationship," American Journal of Political Science, 27 (1983), 337-58; C. W. J. Granger, "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, 37 (1969), 424-38; Peter Kennedy, A Guide to Econometrics (Cambridge, Mass.: MIT Press, 1991), p. 68.
    • (1991) A Guide to Econometrics , pp. 68
    • Kennedy, P.1
  • 51
    • 84924304534 scopus 로고    scopus 로고
    • note
    • The concept of causality used by the Granger causality test is empirical rather than theoretical. It requires two conditions for X to cause Y: changes in X must precede changes in Y, and X must help predict Y. Since this concept is slightly different from what we usually mean by causality, we use the term "Granger cause." For detailed information, see Freeman.
  • 52
    • 84924304533 scopus 로고    scopus 로고
    • Ibid., p. 346
    • Ibid., p. 346.
  • 53
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    • Estimating the dimension of a model
    • Gideon Schwartz, "Estimating the Dimension of a Model," Annals of Statistics, 6 (1978), 461-1; John Geweke and Richard Meese, "Estimating Regression Models of Finite but Unknown Order," International Economic Review, 22 (1981), 55-70.
    • (1978) Annals of Statistics , vol.6 , pp. 461-461
    • Schwartz, G.1
  • 54
    • 0003067505 scopus 로고
    • Estimating regression models of finite but unknown order
    • Gideon Schwartz, "Estimating the Dimension of a Model," Annals of Statistics, 6 (1978), 461-1; John Geweke and Richard Meese, "Estimating Regression Models of Finite but Unknown Order," International Economic Review, 22 (1981), 55-70.
    • (1981) International Economic Review , vol.22 , pp. 55-70
    • Geweke, J.1    Meese, R.2
  • 56
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    • The structural determinants of the world economy on national political development
    • Lev S. Gonick and Robert M. Rosh, "The Structural Determinants of the World Economy on National Political Development," Comparative Political Studies, 21 (1988), 171-99.
    • (1988) Comparative Political Studies , vol.21 , pp. 171-199
    • Gonick, L.S.1    Rosh, R.M.2
  • 57
    • 84924304532 scopus 로고    scopus 로고
    • Burkhart and Lewis-Beck
    • Burkhart and Lewis-Beck


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.