Hansen, Stephen and McMahon, Michael
(2020).
Estimating Bayesian decision problems with heterogeneous priors 2010-2015.
[Data Collection]. Colchester, Essex:
UK Data Service.
10.5255/UKDA-SN-854127
Data description (abstract)
The files included in this project are therefore the US Supreme court data that is obtained from Iaryczower and Shum (2012). It contains the vote of every justice (31 in total) on every case from 1953-2008. The files also include the R code that is used to Simulate the re-estimate the court data.
The project considers the novel two-step estimator of Iaryczower and Shum (2012), who analyze voting decisions of US Supreme Court justices. Motivated by the underlying theoretical voting model, it suggests that where the data under consideration displays variation in the common prior, estimates of the structural parameters based on their methodology should generally benefit from including interaction terms between individual and time covariates in the first stage whenever there is individual heterogeneity in expertise. It shows numerically, via simulation and re-estimation of the US Supreme Court data, that the first order interaction effects that appear in the theoretical model can have an important empirical implication.
Data creators: |
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Sponsors: |
Economic and Social Research Council
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Grant reference: |
ES/H021248/1
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Topic classification: |
Law, crime and legal systems Politics Economics
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Keywords: |
decision making, expertise
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Project title: |
Centre for Competitive Advantage in the Global Economy (CAGE)
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Grant holders: |
Nicholas Crafts, Andrew Oswald, Sharun Mukand, Sascha O Becker, Sayantan Ghosal, Kimberley Scharf, Stephen Broadberry, Anandi Mani, John Whalley
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Project dates: |
From | To |
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4 January 2010 | 3 January 2015 |
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Date published: |
16 Apr 2020 10:19
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Last modified: |
18 Sep 2020 12:50
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Collection period: |
Date from: | Date to: |
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4 January 2010 | 3 January 2015 |
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Country: |
United States |
Data collection method: |
The data is from Iaryczower and Shum (2012), containing the vote (31 in total) of every US Supreme Court justice on every case from 1953-2008. The data court data is henceforth used to estimate parameter that are in turn used to simulate new court data according to the theory highlighted in the description. |
Observation unit: |
Organization |
Kind of data: |
Numeric |
Type of data: |
Experimental data
, Other surveys |
Resource language: |
English |
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Data sourcing, processing and preparation: |
The data and documentation is available from Wiley Online Library, along with the publication "Estimating Bayesian Decision Problems with Heterogeneous Expertise" (link under Related resources); the data files can be found under 'Supporting information'.
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Rights owners: |
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Contact: |
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Notes on access: |
The Data Collection is available from an external repository. Access is available via Related Resources.
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Publisher: |
UK Data Service
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Last modified: |
18 Sep 2020 12:50
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