000 | 03486cam a22004697 4500 | ||
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001 | w29475 | ||
003 | NBER | ||
005 | 20211202102635.0 | ||
006 | m o d | ||
007 | cr cnu|||||||| | ||
008 | 211202s2021 mau fo 000 0 eng d | ||
100 | 1 | _aDarden, Michael E. | |
245 | 1 | 0 |
_aModeling to Inform Economy-Wide Pandemic Policy: _bBringing Epidemiologists and Economists Together / _cMichael E. Darden, David Dowdy, Lauren Gardner, Barton Hamilton, Karen Kopecky, Melissa Marx, Nicholas W. Papageorge, Daniel Polsky, Kimberly Powers, Elizabeth Stuart, Matthew Zahn. |
260 |
_aCambridge, Mass. _bNational Bureau of Economic Research _c2021. |
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_a1 online resource: _billustrations (black and white); |
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490 | 1 |
_aNBER working paper series _vno. w29475 |
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500 | _aNovember 2021. | ||
520 | 3 | _aFacing unprecedented uncertainty and drastic trade-offs between public health and other forms of human well-being, policy makers during the Covid-19 pandemic have sought the guidance of epidemiologists and economists. Unfortunately, while both groups of scientists use many of the same basic mathematical tools, the models they develop to inform policy tend to rely on different sets of assumptions and, thus, often lead to different policy conclusions. This divergence in policy recommendations can lead to uncertainty and confusion, opening the door to disinformation, distrust of institutions, and politicization of scientific facts. Unfortunately, to date, there have not been widespread efforts to build bridges and find consensus or even to clarify sources of differences across these fields, members of whom often continue to work within their traditional academic silos. In response to this "crisis of communication," we convened a group of scholars from epidemiology, economics, and related fields (e.g., statistics, engineering, and health policy) to discuss approaches to modeling economy-wide pandemics. We summarize these conversations by providing a consensus view of disciplinary differences (including critiques) and working through a specific policy example. Thereafter, we chart a path forward for more effective synergy between disciplines, which we hope will lead to better policies as the current pandemic evolves and future pandemics emerge. | |
530 | _aHardcopy version available to institutional subscribers | ||
538 | _aSystem requirements: Adobe [Acrobat] Reader required for PDF files. | ||
538 | _aMode of access: World Wide Web. | ||
588 | 0 | _aPrint version record | |
690 | 7 |
_aC8 - Data Collection and Data Estimation Methodology • Computer Programs _2Journal of Economic Literature class. |
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690 | 7 |
_aH0 - General _2Journal of Economic Literature class. |
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690 | 7 |
_aI1 - Health _2Journal of Economic Literature class. |
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690 | 7 |
_aJ0 - General _2Journal of Economic Literature class. |
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700 | 1 | _aDowdy, David. | |
700 | 1 | _aGardner, Lauren. | |
700 | 1 | _aHamilton, Barton. | |
700 | 1 | _aKopecky, Karen. | |
700 | 1 | _aMarx, Melissa. | |
700 | 1 | _aPapageorge, Nicholas W. | |
700 | 1 | _aPolsky, Daniel. | |
700 | 1 | _aPowers, Kimberly. | |
700 | 1 | _aStuart, Elizabeth. | |
700 | 1 | _aZahn, Matthew. | |
710 | 2 | _aNational Bureau of Economic Research. | |
830 | 0 |
_aWorking Paper Series (National Bureau of Economic Research) _vno. w29475. |
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856 | 4 | 0 | _uhttps://www.nber.org/papers/w29475 |
856 |
_yAcceso en lĂnea al DOI _uhttp://dx.doi.org/10.3386/w29475 |
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_2ddc _cW-PAPER |
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_c388860 _d347422 |