Everyday Econometricians: Selection Neglect and Overoptimism When Learning from Others
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DOI: 10.1257/mic.20200030
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Other versions of this item:
- Kai Barron & Steffen Huck & Philippe Jehiel, 2024. "Everyday Econometricians: Selection Neglect and Overoptimism When Learning from Others," American Economic Journal: Microeconomics, American Economic Association, vol. 16(3), pages 162-198, August.
- Kai Barron & Steffen Huck & Philippe Jehiel, 2022. "Everyday econometricians: Selection neglect and overoptimism when learning from others," PSE Working Papers halshs-03735640, HAL.
- Kai Barron & Steffen Huck & Philippe Jehiel, 2022. "Everyday econometricians: Selection neglect and overoptimism when learning from others," Working Papers halshs-03735640, HAL.
- Kai Barron & Steffen Huck & Philippe Jehiel, 2023. "Everyday econometricians: Selection neglect and overoptimism when learning from others," PSE Working Papers halshs-04154345, HAL.
- Barron, Kai & Huck, Steffen & Jehiel, Philippe, 2019. "Everyday econometricians: Selection neglect and overoptimism when learning from others," Discussion Papers, Research Unit: Economics of Change SP II 2019-301, WZB Berlin Social Science Center.
- Kai Barron & Steffen Huck & Philippe Jehiel, 2023. "Everyday econometricians: Selection neglect and overoptimism when learning from others," Working Papers halshs-04154345, HAL.
- Kai Barron & Steffen Huck & Philippe Jehiel, 2024. "Everyday Econometricians: Selection Neglect and Overoptimism When Learning from Others," Post-Print halshs-04811339, HAL.
More about this item
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
- D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
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