The DOI matches its Crossref record.
Attitudes Toward Risk: Experimental Measurement in Rural India
Abstract
Attitudes toward risk were measured in 240 households using two methods: an interview method eliciting certainty equivalents and an experimental gambling approach with real payoffs which, at their maximum, exceeded monthly incomes of unskilled laborers. The interview method is subject to interviewer bias and its results were totally inconsistent with the experimental measures of risk aversion. Experimental measures indicate that, at high payoff levels, virtually all individuals are moderately risk‐averse with little variation according to personal characteristics. Wealth tends to reduce risk aversion slightly, but its effect is not statistically significant.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Learning in High Stakes Ultimatum Games: An Experiment in the Slovak Republic
Slonim, R., & Roth, A. E. (1998) · Econometrica · doi:10.2307/2998575 · Cited by 512
Neural correlates of value, risk, and risk aversion contributing to decision making under risk
Christopoulos, G. I., Tobler, P. N., Bossaerts, P., Dolan, R. J., & Schultz, W. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2614-09.2009 · Cited by 451
Heterogeneity in Risky Choice Behavior in a Broad Population
von Gaudecker, H.-M., van Soest, A., & Wengström, E. (2011) · American Economic Review · doi:10.1257/aer.101.2.664 · Cited by 349
Friedman, R., Anderson, C., Brett, J., Olekalns, M., Goates, N., & Lisco, C. C. (2004) · Journal of Applied Psychology · doi:10.1037/0021-9010.89.2.369 · Cited by 269
Deciding for others reduces loss aversion
Andersson, O., Holm, H. J., Tyran, J.-R., & Wengström, E. (2016) · Management Science · doi:10.1287/mnsc.2014.2085 · Cited by 194
Ready or Not? How Citizens and Public Officials Perceive Risk and Preparedness
Donahue, A. K., Eckel, C. C., & Wilson, R. K. (2014) · The American Review of Public Administration · doi:10.1177/0275074013506517 · Cited by 141
Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show
Post, T., van den Assem, M. J., Baltussen, G., & Thaler, R. H. (2008) · American Economic Review · doi:10.1257/aer.98.1.38 · Cited by 110
Nkonya, E. M., Pender, J. L., Kaizzi, K. C., Kato, E., Mugarura, S., Ssali, H., Muwonge, J., Nkonya, E. M., Pender, J. L., Kaizzi, K. C., et al. (2008) · Unknown · doi:10.22004/ag.econ.47224 · Cited by 100
Marette, S., Roosen, J., Blanchemanche, S., & Feinblatt-Mélèze, E. (2010) · Food Policy · doi:10.1016/j.foodpol.2010.04.009 · Cited by 89
Risk preferences, production contracts and technology adoption by broiler farmers in China
Mao, H., Zhou, L., Ifft, J., & Ying, R. (2019) · China Economic Review · doi:10.1016/j.chieco.2018.10.014 · Cited by 77
Land Tenure, Investment Incentives, and the Choice of Techniques: Evidence from Nicaragua
Bandiera, O. (2007) · The World Bank Economic Review · doi:10.1093/wber/lhm005 · Cited by 66
Risk preferences and development revisited
Vieider, F. M., Martinsson, P., Nam, P. K., & Truong, N. (2019) · Theory and Decision · doi:10.1007/s11238-018-9674-8 · Cited by 47
Cross-national harmonization of neurocognitive assessment across five sites in a global study.
Batistuzzo, M. C., Sheshachala, K., Alschuler, D. M., Hezel, D. M., Lewis-Fernández, R., de Joode, N. T., Vriend, C., Lempert, K. M., Narayan, M., Marincowitz, C., et al. (2023) · Neuropsychology · doi:10.1037/neu0000838 · Cited by 4
Metadata
- Authors
- Binswanger, H. P.
- Venue
- American Journal of Agricultural Economics
- Publisher
- Wiley
- Published
- 1980-08
- Volume
- 62
- Issue
- 3
- Pages
- 395-407
- ISSN
- 0002-9092 (ISSN-L)
- 1467-8276
- OpenAlex
- W2087991264
- Cited by
- 1,619
- References
- 0
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.