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Cited by 19Economic and Environmental ValuationStatistical Methods and Bayesian InferenceHealthcare Policy and Management

Identification issues in some double-index models for non-negative data

Papadopoulos, Georgios, Santos Silva, J.M.C.·2012·Economics Letters
DOI 10.1016/j.econlet.2012.06.001
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  • The hierarchical Bayesian framework can borrow from better-known quantities to enhance identification while propagating appropriate uncertainty over parameters.

    “The main appeal of this framework is that although most of the components are not identifiable (e.g., if reporting rates and true cases are both unknown, the same observed case counts can be achieved by multiplying both by the same factor) (37), we can borrow from better-known quantities (e.g., rough estimates of prevalence, reporting, etc.) to enhance identification while propagating the appropri”

    From Socioeconomic status determines COVID-19 incidence and related mortality in Santiago, Chile (2021) · cites this paper as [37]

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Authors
Papadopoulos, G., & Santos Silva, J. M. C.
Affiliations
University of East Anglia (GB)
ORCID
Papadopoulos, Georgios
Venue
Economics Letters
Publisher
Elsevier BV
Published
2012-10
Volume
117
Issue
1
Pages
365-367
ISSN
0165-1765 (ISSN-L)
DOI
10.1016/j.econlet.2012.06.001
OpenAlex
W2038766276
Cited by
19
References
15
Citations by year
2025: 2 · 2024: 2 · 2023: 3 · 2022: 1 · 2021: 4 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 2
FWCI
1.53
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Economics Letters (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Open Research (University of Surrey) (submittedVersion)
  • Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
  • Open Access at Essex (University of Essex) (submittedVersion)
  • UEA Digital Repository (University of East Anglia) (submittedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
Keywords
identification problem, non-negative data, health care costs, count data models

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