Estimating risk attitudes in denmark: A field experiment

By Glenn W. Harrison, Morten I. Lau, E Elisabet Rutström. 2007

514 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/525666ae71bfd40d130e79f3a5644ede0ca371be

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In General Decision Sciences

Citations in the corpus

A large-scale test of the effects of time discounting, risk aversion, loss aversion, and present bias on household adoption of energy-efficient technologies (2019, result): “Our mean value of α = 0.822 is similar to the mean value found by Heutel (2017, 0.809) or to that found among university students by Kahneman and Tversky (1979, 0.88), but higher than those among participants in Denmark (Harrison et al., 2007, 0.67), among others (Tanaka et al., 2010, 0.60; Liu, 201”
Higher Order Risk Attitudes, Demographics, and Financial Decisions (2011, background): “Deck and Schlesinger (2010, section five) 17 Holt and Laury (2002) also report DARA and IRRA ( =.029; r=.269), while Harrison et al. (2007) do not reject the CRRA model and estimate an not significantly different from zero. and Bleichrodt and Eeckhoudt (2005) discuss non-expected utility models…”
Social Preferences in the Lab: A Comparison of Students and a Representative Population (2015, unknown): “9Since the lab sample and the sampling frame are very similar on observable characteristics, we do not conduct any selection correction analysis (Harrison et al., 2007), but we condition all later analysis on gender.”
Who Is (More) Rational (2014, background): “Finally, the coe¢ cients on the CCEI in columns (8) and (9) show economically substantial and statistically signicant correlations between the CCEI and decisions regarding home ownership.”
Cross-Sectional Earnings Risk and Occupational Sorting: The Role of Risk Attitudes (2006, background): “Concerning the stability of preferences, other evidence suggests that risk preferences elicited from lottery choices are stable over time (see, e.g., Barsky et al., 1997 and Harrison et al., 2005).5”