Advanced Search
MyIDEAS: Login to save this article or follow this journal

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

Contents:

Author Info

  • Daniel Ho
  • Kosuke Imai
  • Gary King
  • Elizabeth A. Stuart

Abstract

MatchIt 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 Info

If 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.
File URL: http://www.jstatsoft.org/v42/i08/paper
File Function: link to download full text
Download Restriction: no

Bibliographic Info

Article provided by American Statistical Association in its journal Journal of Statistical Software.

Volume (Year): 42 ()
Issue (Month): i08 ()
Pages:

as in new window
Handle: RePEc:jss:jstsof:42:i08

Contact details of provider:
Web page: http://www.jstatsoft.org/

Related research

Keywords:

References

References listed on IDEAS
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.:
as in new window
  1. 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.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. 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.
  2. 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.
  3. 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.
  4. Heather Stoll & Gary King & Langche Zeng, . "WhatIF: R Software for Evaluating Counterfactuals," Journal of Statistical Software, American Statistical Association, vol. 15(i04).
  5. Marcio Cruz, 2014. "Do Export Promotion Agencies Promote New Exporters?," IDB Publications 85293, Inter-American Development Bank.
  6. Micah Altman & Simon Jackman, . "Nineteen Ways of Looking at Statistical Software," Journal of Statistical Software, American Statistical Association, vol. 42(i02).
  7. 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).
  8. Victoria Fan & Anup Karan & Ajay Mahal, 2012. "State Health Insurance and Out-of-Pocket Health Expenditures in Andhra Pradesh, India," Working Papers id:5032, eSocialSciences.
  9. 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.
  10. Stefano Iacus & Gary King & Giuseppe Porro, . "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, American Statistical Association, vol. 30(i09).
  11. 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.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:jss:jstsof:42:i08. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.