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Volumn 36, Issue 1, 2006, Pages 17-38

The politics of EU eastern enlargement: Evidence from a Heckman selection model

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EID: 29144478358     PISSN: 00071234     EISSN: 14692112     Source Type: Journal    
DOI: 10.1017/S0007123406000020     Document Type: Article
Times cited : (29)

References (51)
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    • This also means that we do not intend to draft an alternative to the theories discussed above. In other words: economic and political gains explain the incentive to enlarge the EU. Starting from there, we aim at formulating a more convincing explanation; one that explicitly integrates application and accession as contingent choices in a coherent framework.
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    • In cases where parliamentary parties sought to co-ordinate their position as to increase the likelihood of EU admission, the resulting 'grand coalition' was short-lived, as in Hungary in 2000, where the coalition failed shortly after its establishment.
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    • note
    • Countries in the first step are Albania, Belarus, Bulgaria, Croatia, the Czech Republic, Estonia, Georgia, Hungary, Latvia, Lithuania, Macedonia, Moldova, Poland, Romania, Russia, Slovakia, Slovenia and Ukraine. Countries at war and Central Asian countries are excluded.
  • 32
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    • note
    • Countries of the second step are the Czech Republic, Estonia, Hungary, Poland, Slovenia, Latvia, Lithuania, Slovakia, Bulgaria and Romania.
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    • note
    • Note that considering country-years as the level of analysis in the second stage generates correlated errors because the EU concluded the accession negotiations with eight out of ten applicants from Central and East European countries simultaneously in December 2002 rather than accepting applicants once they passed a certain threshold level. As a consequence, the standard errors we obtain in the second stage estimation of the Heckman model are probably too large. We investigate and discuss the severity of this error in the robustness tests.
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    • Since the correlation between all the different types of regulation is extremely high, taking the mean does not omit much of the difference between countries. A factor analysis also supports that the variance over all dimensions can be reduced to a single proxy (factor).
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    • All economic control variables are from the World Bank's Development Indicators.
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    • The EU publishes regular reports on the progress the candidate countries have made, based on the single chapters; see http://europa.eu.int/comm/enlargement/negotiations/chapters/index.htm.
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    • Agricultural subsidies to new members will probably be phased-in over a relatively long period of time. Since the conditions are identical for all new members, the total size of agriculture measures the relative stress new members put on the EU's common agricultural policy.
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    • note
    • We thank an anonymous referee for bringing this issue to our attention.
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    • note
    • Estimation results will be supplied upon request.
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    • note
    • Note that multicollinearity has no impact on the coefficients. Even if two or more variables were collinear, the estimated coefficients would remain unbiased. Therefore, our inferences are not hampered by multicollinearity problems.
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    • note
    • Likelihood ratio tests have shown that we have to deal with overdispersion (α ≠ 0), which means the sample variance is larger than the mean. Consequently, we cannot run a simple Poisson model but have to use a negative binomial regression procedure that allows for overdispersion.
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    • note
    • These include regulatory quality, level of democracy, the potential power of a president and economical control variables, such as exports of goods and services and the government consumption as a percentage of gross domestic product.
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    • note
    • it and it should include a constant. The second equation, however, need not include a constant.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.