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32.01 --- #SBIB:35H001 --- #SBIB:35H006 --- 32.01 Politicologie --- Politicologie --- Bestuurswetenschappen: algemene werken, referentiewerken, documentatie --- Bestuurswetenschappen: theorieën --- Policy sciences. --- Beleidskunde. --- Policy sciences --- Policy-making --- Policymaking --- Public policy management --- Public administration --- Political sociology

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Sociology of policy --- Sociological theory building --- Policy sciences --- Political planning --- #SBIB:35H006 --- #SBIB:35H400 --- #SBIB:IO --- #SBIB:012.IEB --- Bestuurswetenschappen: theorieën --- Beleid: algemeen --- Policy sciences. --- Political planning. --- Beleidskunde --- Beleidskunde. --- Planning in politics --- Public policy --- Policy-making --- Policymaking --- Public policy management --- Planning --- Politics, Practical --- Public administration

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Transportation, Automotive --- -Transportation, Automotive --- -Policy sciences --- #SBIB:35H500 --- #SBIB:35H400 --- #SBIB:35H438 --- #SBIB:011.IO --- Policy-making --- Policymaking --- Public policy management --- Automotive transportation --- Highway transportation --- Motor carriers --- Motor transportation --- Road transportation --- Automobiles --- Government policy --- -Government policy --- -Bestuur en samenleving: algemene werken --- Beleid: algemeen --- Beleidssectoren: openbare werken, verkeer en telecommunicatie --- Social aspects --- Policy sciences --- Bestuur en samenleving: algemene werken

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February 2000 - Some say that democracy is more likely to survive under parliamentary governments. That result is not robust to the use of different variables from the Database of Political Institutions, a large new cross-country database that may illuminate many other issues affecting and affected by political institutions. This paper introduces a large new cross-country database on political institutions: the Database on Political Institutions (DPI). Beck, Clarke, Groff, Keefer, and Walsh summarize key variables (many of them new), compare this data set with others, and explore the range of issues for which the data should prove invaluable. Among the novel variables they introduce: Several measures of tenure, stability, and checks and balances; Identification of parties with the government coalition or the opposition; Fragmentation of opposition and government parties in legislatures. The authors illustrate the application of DPI variables to several problems in political economy. Stepan and Skach, for example, find that democracy is more likely to survive under parliamentary governments than presidential systems. But this result is not robust to the use of different variables from the DPI, which raises puzzles for future research. Similarly, Roubini and Sachs find that divided governments in the OECD run higher budget deficits after fiscal shocks. Replication of their work using DPI indicators of divided government indicates otherwise, again suggesting issues for future research. Among questions in political science and economics that this database may illuminate: the determinants of democratic consolidation, the political conditions for economic reform, the political and institutional roots of corruption, and the elements of appropriate and institutionally sensitive design of economic policy. This paper - a product of Regulation and Competition Policy, Development Research Group - is part of a larger effort in the group to understand the institutional bases of poverty alleviation and economic reform. The study was funded by the Bank's Research Support Budget under the research project Database on Institutions for Government Decisionmaking (RPO 682-79). The authors may be contacted at tbeck@worldbank.org, gclarke@worldbank.org, pkeefer@worldbank.org, or pwalsh@worldbank.org.

Cabinet --- Candidates --- Constituents --- Decision Makers --- Decision Making --- Democracy --- E-Business --- E-Government --- Economic Theory and Research --- Election --- Election Data --- Elections --- Governance --- Government --- Industry --- Information Security and Privacy --- Legislation --- Legislative Powers --- Legislators --- Macroeconomics and Economic Growth --- Microfinance --- Parliament --- Parliamentary Government --- Parliamentary Governments --- Parliamentary Systems --- Policy Making --- Political System --- Political Systems --- Prime Minister --- Private Sector Development --- Public Sector Corruption and Anticorruption Measures --- Technology Industry

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Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. Written for graduate students and researchers in the statistical and social sciences, this book describes a coherent framework for understanding binary and ordinal regression models, item response models, graded response models, and ROC analyses, and for exposing the close connection between these models. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface.

Numbers, Ordinal --- Policy sciences --- Social sciences --- 519.22 --- Policy-making --- Policymaking --- Public policy management --- Ordinal numbers --- Number theory --- Proof theory --- Set theory --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Statistical theory. Statistical models. Mathematical statistics in general --- Statistical methods --- Mathematical statistics --- Statistics. --- Statistics for Social Sciences, Humanities, Law. --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Statistical methods. --- Social sciences - Statistical methods --- Policy sciences - Statistical methods