Improving Forecasts of State Failure

By Gary King, Langche Zeng. 2001

308 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/adf93e726f33066c6d9ac53332274b287878786d

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Citations in the corpus

Is Good Governance Rewarded? A Cross-National Analysis of Debt Forgiveness (2002, unknown): “While data from the private company, which provides the ICRG to international business, are normally prohibitively expensive to get for researchers, data covering 1989–95 were made freely available by King and Zeng (2001).”
Geographies of state failure and sophistication in maritime piracy hijackings (2009, background): “Much of the work focuses on what causes states to fail, or on constructing indicators to identify states that are failing (Bates et al., 2003; Esty et al., 1998; Fund for Peace, 2008; King & Zang, 2001; Rice & Patrick, 2008) or on how to repair failing states (Ghani & Lockhart, 2008; Rotberg, 2004”
Untangling Neural Nets (2004, background): “King and Zeng (2001) acknowledge in subsequent work that it is better to investigate the trade-offs be-tween false positives and false negatives for a variety of predictive thresholds, and not penalize a model pre-disposed to predictions biased too high or too low.”
Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data (2007, methodology): “In addition to their work on the generalized boosted model (GBM), some have been estimating propensities using classification trees (Luellen, Shadish and Clark, 2005) and neural networks (King and Zeng, 2002).”
Democracy and Human Development (2012, methodology): “First, we used a dependent variable that measures countries’ deviations from the global infant mortality mean in a particular year (King and Zeng 2001).”
The Impact of Political Violence on Tourism (2004, methodology): “They were collected as part of the U.S. State Failure Task Force Project and have been published by King and Zeng (2001).”
Penalized regression, standard errors, and Bayesian lassos (2010, background): “Their findings are criticized on substantive grounds for being oversimplified (Millien and Krause 2003, Parris and Kate 2003, Sachs 2001), and on methodological ground for their treatment of missing data and forecasting procedures (King and Zeng 2001).”
Predicting Conflict in Space and Time (2010, methodology): “Originally developed for signal transmission applications, ROC curves have also been used for the performance evaluation of conflict predictions (see, e.g., King and Zeng 2001).”