Modeling National Latent Socioeconomic Health and Examination of Policy Effects via Causal Inference
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- Keele, Luke J. & Titiunik, Rocío, 2015. "Geographic Boundaries as Regression Discontinuities," Political Analysis, Cambridge University Press, vol. 23(1), pages 127-155, January.
- Jeni Klugman & Francisco Rodríguez & Hyung-Jin Choi, 2011.
"The HDI 2010: new controversies, old critiques,"
The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 249-288, June.
- Jeni Klugman & Francisco Rodríguez & Hyung-Jin Choi, 2011. "The HDI 2010: New Controversies, Old Critiques," Human Development Research Papers (2009 to present) HDRP-2011-01, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
- Corwin M. Zigler & Krista Watts & Robert W. Yeh & Yun Wang & Brent A. Coull & Francesca Dominici, 2013. "Model Feedback in Bayesian Propensity Score Estimation," Biometrics, The International Biometric Society, vol. 69(1), pages 263-273, March.
- Grace S Chiu & Margaret A Wu & Lin Lu, 2013. "Model-Based Assessment of Estuary Ecosystem Health Using the Latent Health Factor Index, with Application to the Richibucto Estuary," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-12, June.
- Corwin Matthew Zigler, 2016. "The Central Role of Bayes’ Theorem for Joint Estimation of Causal Effects and Propensity Scores," The American Statistician, Taylor & Francis Journals, vol. 70(1), pages 47-54, February.
- David Kaplan & Jianshen Chen, 2012. "A Two-Step Bayesian Approach for Propensity Score Analysis: Simulations and Case Study," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 581-609, July.
- John F. Helliwell & Haifang Huang, 2014.
"New Measures Of The Costs Of Unemployment: Evidence From The Subjective Well-Being Of 3.3 Million Americans,"
Economic Inquiry, Western Economic Association International, vol. 52(4), pages 1485-1502, October.
- John F. Helliwell & Haifang Huang, 2011. "New measures of the costs of unemployment: Evidence from the subjective well-being of 3.3 million Americans," NBER Working Papers 16829, National Bureau of Economic Research, Inc.
- Auke Rijpma, 2016. "What can’t money buy? Wellbeing and GDP since 1820," Working Papers 0078, Utrecht University, Centre for Global Economic History.
- Kristian S. Gleditsch & Michael D. Ward, 2001. "Measuring Space: A Minimum-Distance Database and Applications to International Studies," Journal of Peace Research, Peace Research Institute Oslo, vol. 38(6), pages 739-758, November.
- Shawn Treier & Simon Jackman, 2008. "Democracy as a Latent Variable," American Journal of Political Science, John Wiley & Sons, vol. 52(1), pages 201-217, January.
- McCandless Lawrence C & Douglas Ian J. & Evans Stephen J. & Smeeth Liam, 2010. "Cutting Feedback in Bayesian Regression Adjustment for the Propensity Score," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-24, March.
- Martin, Andrew D. & Quinn, Kevin M., 2002. "Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999," Political Analysis, Cambridge University Press, vol. 10(2), pages 134-153, April.
- Yang, Lin, 2018. "Measuring well-being: a multidimensional index integrating subjective well-being and preferences," LSE Research Online Documents on Economics 87789, London School of Economics and Political Science, LSE Library.
- Lin Yang, 2018. "Measuring Well-being: A Multidimensional Index Integrating Subjective Well-being and Preferences," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 19(4), pages 456-476, October.
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, January.
- Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
- Jackman, Simon, 2001. "Multidimensional Analysis of Roll Call Data via Bayesian Simulation: Identification, Estimation, Inference, and Model Checking," Political Analysis, Cambridge University Press, vol. 9(3), pages 227-241, January.
- Sudipto Banerjee, 2005. "On Geodetic Distance Computations in Spatial Modeling," Biometrics, The International Biometric Society, vol. 61(2), pages 617-625, June.
- Jeffrey D. Sachs & Richard Layard & John F. Helliwell, 2018. "World Happiness Report 2018," Working Papers id:12761, eSocialSciences.
- David Kaplan & Jianshen Chen, 2012. "Erratum to: A Two-Step Bayesian Approach for Propensity Score Analysis: Simulations and Case Study," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 610-610, July.
- Corwin Matthew Zigler & Francesca Dominici, 2014. "Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model-Averaged Causal Effects," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 95-107, March.
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