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Part 1: Document Description
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Citation |
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Title: |
Replication data for: Empirical vs. Theoretical Claims about Extreme Counterfactuals: A Response |
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Identification Number: |
doi:10.7910/DVN/VL7QMO |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2009-03-15 |
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Version: |
5 |
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Bibliographic Citation: |
King, Gary; Zeng, Langche, 2009, "Replication data for: Empirical vs. Theoretical Claims about Extreme Counterfactuals: A Response", https://doi.org/10.7910/DVN/VL7QMO, Harvard Dataverse, V5 |
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Citation |
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Title: |
Replication data for: Empirical vs. Theoretical Claims about Extreme Counterfactuals: A Response |
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Identification Number: |
doi:10.7910/DVN/VL7QMO |
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Authoring Entity: |
King, Gary (Harvard University) |
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Zeng, Langche (UC San Diego) |
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Date of Production: |
2008 |
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Distributor: |
Harvard Dataverse |
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Distributor: |
The Dataverse Project |
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Date of Deposit: |
2008-09-06 |
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Date of Distribution: |
2009 |
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Holdings Information: |
https://doi.org/10.7910/DVN/VL7QMO |
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Study Scope |
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Keywords: |
Social Sciences |
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Abstract: |
A response to Sambanis and Michaelides, "A Comment on Diagnostic Tools for Counterfactual Inference", which was a comment on: Gary King and Langche Zeng. 2006. " <a href="http://j.mp/iJ7KVv" target="_blank">The Dangers of Extreme Counterfactuals</a>," <em>Political Analysis</em>, 14, 2, Pp. 131-159. <br /><br /> In response to the data-based measures of model dependence proposed in King and Zeng (2006), Sambanis and Michaelides (2008) propose alternative measures that rely upon assumptions untestable in observational data. If these assumptions are correct, then their measures are appropriate and ours, based solely on the empirical data, may be too conser vative. If instead and as is usually the case, the researcher is not certain of the precise functional form of the data generating process, the distribution from whic h the data are drawn, and the applicability of these modeling assumptions to new counterfactuals, then the data-based measures proposed in King and Zeng (2006) are much preferred. After all, the point of model dependence checks is to verify empirically, rather than to stipulate by assumption, the effects of modeling assumptions on counterfactual inferences. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
King, Gary, and Langche Zeng. 2009. Empirical versus Theoretical Claims about Extreme Counterfactuals: A Response. Political Analysis 17: 107-112: <a href="http://j.mp/pr0WRJ" target="_blank">Link to article</a> |
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Bibliographic Citation: |
King, Gary, and Langche Zeng. 2009. Empirical versus Theoretical Claims about Extreme Counterfactuals: A Response. Political Analysis 17: 107-112: <a href="http://j.mp/pr0WRJ" target="_blank">Link to article</a> |
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Label: |
balance.out |
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output of balance.R, showing the KS Bootstrap p-values |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
balance.R |
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Text: |
demonstrating the balance test fallacy in SM (according to the test used in SM, data with N=20 and K=20 are "balanced". N=1000 and K=10 however fail to pass the test on all covariates) |
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Notes: |
text/plain; charset=US-ASCII |
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compact.R |
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1 of several files producing a Gower distance version of fig.1, showing similar patterns as using Euclidean distance. |
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text/plain; charset=US-ASCII |
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fig1.G.pdf |
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1 of several files producing a Gower distance version of fig.1, showing similar patterns as using Euclidean distance. |
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Notes: |
application/pdf |
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fig1.G.R |
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1 of several files producing a Gower distance version of fig.1, showing similar patterns as using Euclidean distance. |
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text/plain; charset=US-ASCII |
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fig1.pdf |
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Figure 1 from the paper |
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application/pdf |
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fig1.R |
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code generating fig1.pdf |
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text/plain; charset=US-ASCII |
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Label: |
NK.G.out |
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Text: |
1 of several files producing a Gower distance version of fig.1, showing similar patterns as using Euclidean distance. |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
NK.G.R |
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1 of several files producing a Gower distance version of fig.1, showing similar patterns as using Euclidean distance. |
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Notes: |
text/plain; charset=US-ASCII |
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NK.out |
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data used by fig1.R |
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text/plain; charset=US-ASCII |
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NK.R |
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code generating NK.out, computing the average distance to nearest match in the other group as a function of N and K, for SM's simulation data that come from Euclidean space. |
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text/plain; charset=US-ASCII |
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run.cmd |
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shell script used with NK.R for looping over sims |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
run.G.cmd |
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Text: |
1 of several files producing a Gower distance version of fig.1, showing similar patterns as using Euclidean distance. |
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Notes: |
text/plain; charset=US-ASCII |