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Part 1: Document Description
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Citation |
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Title: |
Replication data for: Causal Inference Without Balance Checking: Coarsened Exact Matching |
Identification Number: |
doi:10.7910/DVN/NMMYYW |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2011-03-02 |
Version: |
5 |
Bibliographic Citation: |
Iacus, Stefano M.; King, Gary; Porro, Giuseppe, 2011, "Replication data for: Causal Inference Without Balance Checking: Coarsened Exact Matching", https://doi.org/10.7910/DVN/NMMYYW, Harvard Dataverse, V5 |
Citation |
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Title: |
Replication data for: Causal Inference Without Balance Checking: Coarsened Exact Matching |
Identification Number: |
doi:10.7910/DVN/NMMYYW |
Authoring Entity: |
Iacus, Stefano M. (University of Milan) |
King, Gary (Harvard University) |
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Porro, Giuseppe (University of Trieste) |
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Producer: |
Political Analysis |
Date of Production: |
2011 |
Distributor: |
Harvard Dataverse |
Distributor: |
Harvard Dataverse |
Access Authority: |
Gary King |
Date of Deposit: |
2011-03-02 |
Date of Distribution: |
2011 |
Series Name: |
Volume 20, Issue 1 |
Holdings Information: |
https://doi.org/10.7910/DVN/NMMYYW |
Study Scope |
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Keywords: |
Social Sciences |
Abstract: |
We discuss a method for improving causal inferences called "Coarsened Exact Matching'' (CEM), and the new "Monotonic Imbalance Bounding'' (MIB) class of matching methods from which CEM is derived. We summarize what is known about CEM and MIB, derive and illustrate several new desirable statistical properties of CEM, and then propose a variety of useful extensions. We show that CEM possesses a wide range of desirable statistical properties not available in most other matching methods, but is at the same time exceptionally easy to comprehend and use. We focus on the connection between theoretical properties and practical applications. We also make available easy-to-use open source software for R and Stata which implement all our suggestions. <br /><br /> <a href="http://pan.oxfordjournals.org/content/early/2011/08/23/pan.mpr013.abstract?keytype=ref&ijkey=Bmb7XaiUlYkVW9j" target="_blank">Political Analysis version</a> <br /><br /> <a href="https://docs.google.com/document/d/1xQwyLt_6EXdNpA685LjmhjO20y5pZDZYwe2qeNoI5dE/edit" target="_blank"> An Explanation of CEM Weights</a> <br /><br /> See also: <a href="http://gking.harvard.edu/category/research-interests/methods/causal-inference" target="_blank">Causal Inference</a> |
Methodology and Processing |
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Sources Statement |
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Data Access |
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<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Iacus, Stefano M, Gary King, and Giuseppe Porro. 2012. "Causal Inference Without Balance Checking: Coarsened Exact Matching." Political Analysis (Winter 2012) 20 (1): 1-24. <a href="http://j.mp/iUUwyH" target="_blank">Link to article</a> and <a href="http://pan.oxfordjournals.org/content/early/2011/08/23/pan.mpr013.short" target="_blank">doi: 10.1093/pan/mpr013</a> |
Bibliographic Citation: |
Iacus, Stefano M, Gary King, and Giuseppe Porro. 2012. "Causal Inference Without Balance Checking: Coarsened Exact Matching." Political Analysis (Winter 2012) 20 (1): 1-24. <a href="http://j.mp/iUUwyH" target="_blank">Link to article</a> and <a href="http://pan.oxfordjournals.org/content/early/2011/08/23/pan.mpr013.short" target="_blank">doi: 10.1093/pan/mpr013</a> |
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cemsim-penta.R |
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this generates cemsim-penta.rda |
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text/plain; charset=US-ASCII |
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cemsim-penta.rda |
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used by lalonde-sim.R |
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application/warc |
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lalonde-sim.R |
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run this to produce Table 2 |
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text/plain; charset=US-ASCII |
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measerr.R |
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run this to produce Table 1 |
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text/plain; charset=US-ASCII |
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measerr2.R |
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a file called by measerr.R |
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text/plain; charset=US-ASCII |
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measerr2.rda |
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produced by measerr2.R |
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application/warc |
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progcem.R |
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run this to produce Figure 1 |
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text/plain; charset=US-ASCII |
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ReadMe.txt |
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describes the files in this study |
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text/plain; charset=US-ASCII |