Presidential address: Evidence‐based decision making: What will it take for the decision makers to care?
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Despite the expectation of rationality in policy decision making, policy makers' decisions can include individual and group utility factors and be a source of bias because decision information is rooted in individual cognitive processing.
“Therefore, despite the expectation of rationality in policy decision making, policy makers' decisions can include individual and group utility factors and be a source of bias because decision information is rooted in individual cognitive processing [44-50,61].”
From Rationality versus reality: the challenges of evidence-based decision making for health policy makers (2010) · cites this paper as [45]
Health policy outcomes may actually be, to a varying extent, subjectively derived despite the positive intent of EBDM.
“Therefore, despite the positive intent of EBDM, health policy outcomes may actually be, to a varying extent, subjectively derived [22,23,33,40,45,61].”
From Rationality versus reality: the challenges of evidence-based decision making for health policy makers (2010) · cites this paper as [45]
The rational choice principle that governs EBDM assumes that policy makers have the required cognitive abilities and knowledge to interpret, process, understand, and determine the validity of scientific evidence relevant to policy decisions.
“The rational choice principle that governs EBDM assumes that policy makers have the required cognitive abilities and knowledge to interpret, process, understand, and determine the validity of scientific evidence relevant to policy decisions [2,16,33,45].”
From Rationality versus reality: the challenges of evidence-based decision making for health policy makers (2010) · cites this paper as [45]
Cites
Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230 · see citing works
Lipsey, M. W., & Wilson, D. B. (1993) · American Psychologist · doi:10.1037/0003-066x.48.12.1181 · Cited by 2,033 · see citing works
Accounting for No-Shows in Experimental Evaluation Designs
Bloom, H. S. (1984) · Evaluation Review · doi:10.1177/0193841x8400800205 · Cited by 532 · see citing works
Nonexperimental Versus Experimental Estimates of Earnings Impacts
Glazerman, S., Levy, D. M., & Myers, D. (2003) · The ANNALS of the American Academy of Political and Social Science · doi:10.1177/0002716203254879 · Cited by 352 · see citing works
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McCaughey, D., & Bruning, N. S. (2010) · Implementation Science · doi:10.1186/1748-5908-5-39 · Cited by 160 · see citing works
- Authors
- Maynard, R. A.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- Maynard, Rebecca A.
- ORCID
- Maynard, Rebecca A.
- Venue
- Journal of Policy Analysis and Management
- Publisher
- Wiley
- Published
- 2006-03
- Volume
- 25
- Issue
- 2
- Pages
- 249-265
- ISSN
- 0276-8739 (ISSN-L)
- 1520-6688
- OpenAlex
- W2097439115
- Cited by
- 47
- References
- 4
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 10 · 2023: 2 · 2022: 1 · 2021: 4 · 2020: 2 · 2019: 1 · 2017: 1 · 2016: 2 · 2015: 4 · 2014: 1 · 2013: 2 · 2012: 2
- FWCI
- 1.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Policy Analysis and Management (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
- Social Sciences › Public Administration › Public Policy and Administration Research
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Keywords
- evidence-based decision making, decision-makers, policy analysis, evidence use in policymaking
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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