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Data for Daughters and left-wing voting

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Powdthavee, Nattavudh and Oswald, Andrew J. (2010) Data for Daughters and left-wing voting. [Dataset]

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Official URL: https://wrap.warwick.ac.uk/3381/

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Abstract

What determines human beings' political preferences? Using nationally representative longitudinal data, we show that having daughters makes people more likely to vote for left-wing political parties. Having sons leads people to favor right-wing parties. The paper checks that our result is not an artifact of family stopping rules, discusses the predictions from a simple economic model, and tests for possible reverse causality.

Item Type: Dataset
Alternative Title: Replication data for : Daughters and Left-Wing Voting
Subjects: H Social Sciences > HQ The family. Marriage. Woman
J Political Science > JA Political science (General)
J Political Science > JN Political institutions (Europe) > JN101 Great Britain
Divisions: Faculty of Social Sciences > Economics
Type of Data: Quantitative survey data
Library of Congress Subject Headings (LCSH): Voting -- Great Britain, Voting -- Sex differences, Right and left (Political science) -- Great Britain, Daughters, Sons
Publisher: University of Warwick, Department of Economics
Official Date: 26 August 2010
Dates:
DateEvent
26 August 2010Published
Status: Not Peer Reviewed
Publication Status: Published
Media of Output (format): .do
Access rights to Published version: Open Access (Creative Commons)
Copyright Holders: University of Warwick
Description:

Data record consists of 4 data files, in .do format, and a readme file.
The data files (British Household Panel Survey, Waves 1-14) can be downloaded from http://www.data-archive.ac.uk/. For more detailed information, see also the BHPS website: http://www.iser.essex.ac.uk/survey/bhps.
The four .do files are required to merge, clean and estimate the data.
Step 1: Merge household and individual files
Step 2: Merge children and generate daughter variables
Step 3: Merge all files and clean
Step 4: Estimation

RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
UNSPECIFIED[ESRC] Economic and Social Research Councilhttp://dx.doi.org/10.13039/501100000269
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Contributors:
ContributionNameContributor ID
Contact PersonPowdthavee, Nattavudh73932

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