MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
AbstractMatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated matching methods, making it possible to greatly reduce the dependence of causal inferences on hard-to-justify, but commonly made, statistical modeling assumptions. The software also easily fits into existing research practices since, after preprocessing data with MatchIt, researchers can use whatever parametric model they would have used without MatchIt, but produce inferences with substantially more robustness and less sensitivity to modeling assumptions. MatchIt is an R program, and also works seamlessly with Zelig.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Statistical Software.
Volume (Year): 42 ()
Issue (Month): i08 ()
Contact details of provider:
Web page: http://www.jstatsoft.org/
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kosuke Imai & Gary King & Elizabeth A. Stuart, 2008. "Misunderstandings between experimentalists and observationalists about causal inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 481-502.
- Victoria Fan, Anup Karan, and Anjay Mahal, 2012. "State Health Insurance and Out-of-Pocket Health Expenditures in Andhra Pradesh, India - Working Paper 298," Working Papers 298, Center for Global Development.
- Karatekin, Canan & Hong, Saahoon & Piescher, Kristine & Uecker, Jill & McDonald, Jeff, 2014. "An evaluation of the effects of an integrated services program for multi-service use families on child welfare and educational outcomes of children," Children and Youth Services Review, Elsevier, vol. 41(C), pages 16-26.
- Deng, Yongheng & McMillen, Daniel P. & Sing, Tien Foo, 2012. "Private residential price indices in Singapore: A matching approach," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 485-494.
- Heather Stoll & Gary King & Langche Zeng, . "WhatIF: R Software for Evaluating Counterfactuals," Journal of Statistical Software, American Statistical Association, vol. 15(i04).
- Marcio Cruz, 2014. "Do Export Promotion Agencies Promote New Exporters?," IDB Publications 85293, Inter-American Development Bank.
- Micah Altman & Simon Jackman, . "Nineteen Ways of Looking at Statistical Software," Journal of Statistical Software, American Statistical Association, vol. 42(i02).
- Micah Altman & John Fox & Simon Jackman & Achim Zeileis, . "An Introduction to the Special Volume on "Political Methodology"," Journal of Statistical Software, American Statistical Association, vol. 42(i01).
- Victoria Fan & Anup Karan & Ajay Mahal, 2012.
"State Health Insurance and Out-of-Pocket Health Expenditures in Andhra Pradesh, India,"
- Victoria Fan & Anup Karan & Ajay Mahal, 2012. "State health insurance and out-of-pocket health expenditures in Andhra Pradesh, India," International Journal of Health Care Finance and Economics, Springer, vol. 12(3), pages 189-215, September.
- Phuong Nguyen-Hoang, 2012. "Fiscal effects of budget referendums: evidence from New York school districts," Public Choice, Springer, vol. 150(1), pages 77-95, January.
- Stefano Iacus & Gary King & Giuseppe Porro, . "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, American Statistical Association, vol. 30(i09).
- Gary King & Emmanuela Gakidou & Nirmala Ravishankar & Ryan T. Moore & Jason Lakin & Manett Vargas & Martha Mar�a Téllez-Rojo & Juan Eugenio Hernández �vila & Mauricio Hernández �vila & Hécto, 2007. "A “politically robust” experimental design for public policy evaluation, with application to the Mexican Universal Health Insurance program," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(3), pages 479-506.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.