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The pm25s data does NOT report locations for the stations in x, y coordinates. An attempt to cross-walk the stations with aqicn stations is found in: JoinTable_Lex_2017-01-18.ods (Open Office spreadsheet) Any assistance in determining the missing station locations will be GREATLY appreciated!
Data Types:
  • Tabular Data
  • Document
The hourly updates of ground monitoring observations in China are collected and stored in .csv files (one for each hour). NOTE: the pm25s data does NOT report locations for the reporting stations in x, y coordinates.
Data Types:
  • Text
  • File Set
Survey of Young People in Egypt (SYPE) is a nationally representative sample of young people in the Middle East and North Africa. The 2009 survey included 15,000 young people between the ages of 10 and 29 from 11,000 households. The 2014 survey follows more than 10,000 original respondents. Gender-disaggregated information on health, schooling, employment, and civic engagement is available.
Data Types:
  • Tabular Data
  • Document
This study is for household data that was collected for the Mekong Sentinel Landscape.
Data Types:
  • Tabular Data
  • Document
We argue that political scientists can provide additional evidence for the predictive validity of observational and quasi-experimental research designs by minimizing the expected prediction error or generalization error of their empirical models. For observational and quasi-experimental data not generated by a stochastic mechanism under the researcher's control, the reproduction of statistical analyses is possible but replication of the data generating procedures is not. Estimating the generalization error of a model for this type of data and then adjusting the model to minimize this estimate --- regularization --- provides evidence for the predictive validity of the study by decreasing the risk of overfitting. Estimating generalization error also allows for model comparisons that highlight underfitting: when a model generalizes poorly due to missing systematic features of the data generating process. Thus, minimizing generalization error provides a principled method for modeling relationships between variables that are measured but whose relationships with the outcome(s) are left unspecified by a deductively valid theory. Overall, the minimization of generalization error is important because it quantifies the expected reliability of predictions in a way that is similar to external validity, consequently increasing the validity of the study's conclusions.
Data Types:
  • Software/Code
  • Text
The legislative agenda in most parliamentary systems is controlled tightly by the government and bills offered by individual members of parliament have low rates of success. Yet, MPs do seek to present (private) members’ bills even where the rate of adoption is very low. We argue that members’ bills serve as an electoral connection but also as an opportunity for MPs to signal competence to their co-partisans. To demonstrate the presence of an electoral connection we take advantage of the random selection of private members’ bills in the New Zealand House of Representatives and show that survey respondents approve more of electorate MPs whose bills were drawn on the ballot. In addition, we show that MPs respond to the incentives created by the voters and parties’ willingness to reward legislative effort and, consequently, that electorally vulnerable legislators are more likely to place members’ bills on the ballot.
Data Types:
  • Other
  • Software/Code
  • Tabular Data
  • Document
  • Text
Data and code for: Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2012. "Party Control, Party Competition and Public Service Performance." British Journal of Political Science 42 (3): 641-660.
Data Types:
  • Software/Code
  • Tabular Data
  • Document
Data and code for: Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2011. "Leadership Succession and Organisational Success: When Do New Chief Executives Make a Difference?" Public Money & Management 31 (5): 339-346.
Data Types:
  • Software/Code
  • Tabular Data
  • Document
Data and code for: Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2011. "Top Management Turnover and Organizational Performance: A Test of a Contingency Model." Public Administration Review 71 (4): 572-581.
Data Types:
  • Software/Code
  • Tabular Data
  • Document
Data and code for: Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2010. "Does Public Service Performance Affect Top Management Turnover?" Journal of Public Administration Research and Theory 20 (suppl. 2): i261-i279.
Data Types:
  • Software/Code
  • Tabular Data
  • Document
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