The belief that men and women have fundamentally distinct natures, resulting in divergent preferences and behaviours, is widespread. In particular, the idea that "women are more risk-averse than men" has become accepted as a truism. Here, Julie Nelson asks: is it true? Operating on empirical, methodological, and policy levels, this book provides an important corrective to scholarly empirical research on gender. It provides tools that can be used in evaluating many sorts of claims of "difference," and offers context for economic policy controversies, such the 2008 financial crisis and the combatting of climate change.…mehr
The belief that men and women have fundamentally distinct natures, resulting in divergent preferences and behaviours, is widespread. In particular, the idea that "women are more risk-averse than men" has become accepted as a truism. Here, Julie Nelson asks: is it true? Operating on empirical, methodological, and policy levels, this book provides an important corrective to scholarly empirical research on gender. It provides tools that can be used in evaluating many sorts of claims of "difference," and offers context for economic policy controversies, such the 2008 financial crisis and the combatting of climate change.
Julie A. Nelson is Professor of Economics at the University of Massachusetts Boston and Senior Research Fellow at the Global Development and Environment Institute at Tufts University, USA.
Inhaltsangabe
Dedication List of Figures and Tables Acknowledgements Introduction Part I. To Understand the Answer, You First Have to Have a Clear Question Chapter 1. The Better Question: How Much Different and How Much Similar Chapter 2. Why We Get Stuck on the Bad Question Chapter 3. Statistical Tools for Analyzing Similarity and Difference Chapter 4. Statistical Tools for Inference and the Detection of Bias Part II. Evidence about Risk Behavior: Little Difference, Much Similarity Chapter 5. Difference and Similarity in 35 Scholarly Works Chapter 6. Difference and Similarity in 37 Investment Game Studies Part III. Evidence about Stereotyping and Confirmation Bias: Rampant Chapter 7. Stereotyping and Research Participants Chapter 8. Confirmation Bias Among Researchers in 35 Scholarly Works Chapter 9. Confirmation Bias and the Review of 37 Investment Game Studies Part IV. Why It Matters Chapter 10. Presumed Timidity: Consequences for Women Chapter 11. Recklessness: The (Masculine) Gendering of Commerce and Finance Chapter 12. Fearing Fear: The (Masculine) Gendering of Economics and Policy Conclusion Index
Dedication List of Figures and Tables Acknowledgements Introduction Part I. To Understand the Answer, You First Have to Have a Clear Question Chapter 1. The Better Question: How Much Different and How Much Similar Chapter 2. Why We Get Stuck on the Bad Question Chapter 3. Statistical Tools for Analyzing Similarity and Difference Chapter 4. Statistical Tools for Inference and the Detection of Bias Part II. Evidence about Risk Behavior: Little Difference, Much Similarity Chapter 5. Difference and Similarity in 35 Scholarly Works Chapter 6. Difference and Similarity in 37 Investment Game Studies Part III. Evidence about Stereotyping and Confirmation Bias: Rampant Chapter 7. Stereotyping and Research Participants Chapter 8. Confirmation Bias Among Researchers in 35 Scholarly Works Chapter 9. Confirmation Bias and the Review of 37 Investment Game Studies Part IV. Why It Matters Chapter 10. Presumed Timidity: Consequences for Women Chapter 11. Recklessness: The (Masculine) Gendering of Commerce and Finance Chapter 12. Fearing Fear: The (Masculine) Gendering of Economics and Policy Conclusion Index
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