Powered by the Dataverse Network Project
All IQSS Dataverses  >
Murray Research Archive Dataverse
Replication data for: Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment
Jump Over Tab Navigation Area. Current Selection is
Cataloging Information
Documentation, Data and Analysis
Citation Information
How to Cite
Yusaku Horiuchi; Kosuke Imai; Naoko Taniguchi, 2007, "Replication data for: Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment", hdl:1902.1/JMFHKLRCXS UNF:3:7GCTDGRQGWzoDB1hrZGQfw== Murray Research Archive [Distributor]
Study Global Id hdl:1902.1/JMFHKLRCXS
Authors Yusaku Horiuchi (Australian National University); Kosuke Imai (Princeton University); Naoko Taniguchi (Teikyo University)
Producer Kosuke Imai
Production Date 2007
Distributor Murray Research Archive Logo
Distributor Contact mra_support@help.hmdc.harvard.edu
Distribution Date 2007
Deposit Date 2007
Replication For Yusaku, Horiuchi; Imai, Kosuke; and Taniguchi, Naoko, 2007, "Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment," American Journal of Political Science, Forthcoming: http://imai.princeton.edu/research/index.html (article available here).
Provenance
Abstract and Scope
Abstract

Randomized experiments are becoming increasingly common in political science. Despite their well-known advantages over observational studies, randomized experiments are not free from complications. In particular, researchers often cannot force subjects to comply with treatment assignment and to provide the requested information. Furthermore, simple randomization of treatments remains the most commonly used method in the discipline even though more efficient procedures are available. Building on the recent statistical literature, we address these methodological issues by offering general recommendations for designing and analyzing randomized experiments to improve the validity and efficiency of causal inference. We also develop a new statistical methodology to explore causal heterogeneity. The proposed methods are applied to a survey experiment conducted during Japan's 2004 Upper House election, where randomly selected voters were encouraged to obtain policy information from political parties' websites. An R package is publicly available for implementing various methods useful for designing and analyzing randomized experiments.
Topic Classification Political Science; Replication
Date of Collection 2007
Terms of Use
Dataverse Terms of Use
  • The Murray Archive (the Distributor) has granted me a revocable license to use this dataset solely for the purposes stated above, and the Distributor may terminate this license at any time and for any reason.
  • I will use the dataset solely for statistical analysis and reporting of aggregated information, and not for investigation of specific individuals or organizations, except when identification is authorized in writing by the Distributor.
  • I will produce no links among the Distributor’s datasets or among the Distributor’s data and other datasets that could identify individuals or organizations.
  • I represent that neither I, nor anyone I know, has any prior knowledge of the possible identities of any study participants in any dataset that I am being licensed to use.
  • I will not knowingly divulge any information that could be used to identify individual participants in the study, nor will I attempt to identify or contact any study participant, and I agree to use any precautions necessary to prevent such identification.
  • I will make no use of the identity of any person or establishment discovered inadvertently. If I suspect that I might recognize or know a study participant, I will immediately inform the Distributor, and I will not use or retain a copy of data regarding that study participant. If these measures to resolve an identity disclosure are not sufficient, the Distributor may terminate my use of the dataset.
  • I will not reproduce the dataset except as is necessary for my scholarly purposes. I will destroy the dataset upon the completion of my scholarly work with it.
  • I will not share data from the dataset (in any form or by any means) with any third party, including other members of my research team, as I understand that all users of data must obtain the data directly from the Distributor.
  • I will make appropriate acknowledgement of the contributor of the dataset as well as the Distributor in any manuscript or presentation (published or unpublished) using the citation standard documented here: http://thedata.org/citation
  • THE DISTRIBUTOR MAKES NO WARRANTIES, EXPRESS OR IMPLIED, BY OPERATION OF LAW OR OTHERWISE, REGARDING OR RELATING TO THE DATASET.
    BY CLICKING THE “I AGREE” CHECKBOX BELOW, I CONFIRM THAT I HAVE READ AND UNDERSTOOD EACH AND EVERY TERM SET FORTH IN THE TERMS AND CONDITIONS FOR THE USE OF DATA FOUND ABOVE, AND I AGREE TO BE BOUND BY ALL OF SUCH TERMS AND CONDITIONS.
    IF I DO NOT UNDERSTAND OR AGREE TO ALL OF THE TERMS AND CONDITIONS, I MUST NOT DOWNLOAD THE MATERIALS.
Network Terms of Use

TERMS AND CONDITIONS FOR THE USE OF DATA

By downloading these Materials, I agree to the following:

  1. I will not use the Materials to
    1. obtain information that could directly or indirectly identify subjects.
    2. produce links among the Distributor's datasets or among the Distributor's data and other datasets that could identify individuals or organizations.
    3. obtain information about, or further contact with, subjects known to me except where the use and/or release of such identifying information has no potential for constituting an unwarranted invasion of privacy and/or breach of confidentiality.
  2. I agree not to download any Materials where prohibited by applicable law.
  3. I agree not to use the Materials in any way prohibited by applicable law.
  4. I agree that any books, articles, conference papers, theses, dissertations, reports, or other publications that I create which employ data reference the bibliographic citation accompanying this data. These citations include the data authors, data identifier, and other information accord with the Recommended Standard (http://thedata.org/citation/standard) for social science data.
  5. THE DISTRIBUTOR MAKES NO WARRANTIES, EXPRESS OR IMPLIED, BY OPERATION OF LAW OR OTHERWISE, REGARDING OR RELATING TO THE DATASET

BY CLICKING THE "I AGREE" CHECKBOX BELOW, I CONFIRM THAT I HAVE READ AND UNDERSTOOD EACH AND EVERY TERM SET FORTH IN THE TERMS AND CONDITIONS FOR THE USE OF DATA FOUND ABOVE, AND I AGREE TO BE BOUND BY ALL OF SUCH TERMS AND CONDITIONS.

IF I DO NOT UNDERSTAND OR AGREE TO ALL OF THE TERMS AND CONDITIONS, I MUST NOT DOWNLOAD THE MATERIALS.