Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem
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- Manski, Charles F. & Molinari, Francesca, 2021. "Estimating the COVID-19 infection rate: Anatomy of an inference problem," Journal of Econometrics, Elsevier, vol. 220(1), pages 181-192.
- Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," NBER Working Papers 27023, National Bureau of Economic Research, Inc.
- Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," Papers 2004.06178, arXiv.org.
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- repec:hrv:faseco:34728615 is not listed on IDEAS
- Charles F. Manski & John V. Pepper, 2018.
"How Do Right-to-Carry Laws Affect Crime Rates? Coping with Ambiguity Using Bounded-Variation Assumptions,"
The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 232-244, May.
- Charles F. Manski & John V. Pepper, 2015. "How Do Right-To-Carry Laws Affect Crime Rates? Coping With Ambiguity Using Bounded-Variation Assumptions," NBER Working Papers 21701, National Bureau of Economic Research, Inc.
- Francesca Molinari, 2020.
"Microeconometrics with Partial Identification,"
Papers
2004.11751, arXiv.org.
- Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Charles F. Manski & John V. Pepper, 2000.
"Monotone Instrumental Variables, with an Application to the Returns to Schooling,"
Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
- Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables with an Application to the Returns to Schooling," NBER Technical Working Papers 0224, National Bureau of Economic Research, Inc.
- Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables: With an Application to the Returns to Schooling," Virginia Economics Online Papers 308, University of Virginia, Department of Economics.
- Charles F. Manski, 1989. "Anatomy of the Selection Problem," Journal of Human Resources, University of Wisconsin Press, vol. 24(3), pages 343-360.
- Elie Tamer, 2010. "Partial Identification in Econometrics," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 167-195, September.
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JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- I19 - Health, Education, and Welfare - - Health - - - Other
NEP fields
This paper has been announced in the following NEP Reports:- NEP-HEA-2021-07-19 (Health Economics)
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