Replication Data for: Why Propensity Scores Should Not Be Used for Matching (doi:10.7910/DVN/A9LZNV)

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Document Description

Citation

Title:

Replication Data for: Why Propensity Scores Should Not Be Used for Matching

Identification Number:

doi:10.7910/DVN/A9LZNV

Distributor:

Harvard Dataverse

Date of Distribution:

2019-01-28

Version:

1

Bibliographic Citation:

Nielsen, Richard; King, Gary, 2019, "Replication Data for: Why Propensity Scores Should Not Be Used for Matching", https://doi.org/10.7910/DVN/A9LZNV, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication Data for: Why Propensity Scores Should Not Be Used for Matching

Identification Number:

doi:10.7910/DVN/A9LZNV

Authoring Entity:

Nielsen, Richard (MIT)

King, Gary (Harvard University)

Producer:

Political Analysis

Distributor:

Harvard Dataverse

Access Authority:

Nielsen, Richard

Depositor:

Nielsen, Richard

Date of Deposit:

2018-11-09

Series Name:

Volume #, Issue #

Holdings Information:

https://doi.org/10.7910/DVN/A9LZNV

Study Scope

Keywords:

Mathematical Sciences, Social Sciences, Matching; Propensity Score; Causal Inference; Observational Studies

Abstract:

Abstract: We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its intended goal — thus increasing imbalance, inefficiency, model dependence, and bias. The weakness of PSM comes from its attempts to approximate a completely randomized experiment, rather than, as with other matching methods, a more efficient fully blocked randomized experiment. PSM is thus uniquely blind to the often large portion of imbalance that can be eliminated by approximating full blocking with other matching methods. Moreover, in data balanced enough to approximate complete randomization, either to begin with or after pruning some observations, PSM approximates random matching which, we show, increases imbalance even relative to the original data. Although these results suggest researchers replace PSM with one of the other available matching methods, propensity scores have other productive uses.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Related Publications

Citation

Title:

Forthcoming, Political Analysis

Bibliographic Citation:

Forthcoming, Political Analysis

Other Study-Related Materials

Label:

archive_psnot.zip

Text:

Full replication archive.

Notes:

application/zip