Lie for a Dime

The Internet has enabled recruitment of large samples with specific characteristics. However, when researchers rely on participant self-report to determine eligibility, data quality depends on participant honesty. Across four studies on Amazon Mechanical Turk, we show that a substantial number of participants misrepresent theoretically relevant characteristics (e.g., demographics, product ownership) to meet eligibility criteria explicit in the studies, inferred by a previous exclusion from the study or inferred in previous experiences with similar studies. When recruiting rare populations, a large proportion of responses can be impostors. We provide recommendations about how to ensure that ineligible participants are excluded that are applicable to a wide variety of data collection efforts, which rely on self-report

Valuing Public Goods: The Life Satisfaction Approach

"This paper discusses a novel approach to elicit people's preferences fornpublic goods, namely the life satisfaction approach. Reported subjective well-beingndata are used to directly evaluate utility consequences of public goods. The strengthsnof this approach are compared to traditional approaches and identification issues arenaddressed. Moreover, it is applied to estimate utility losses caused by terroristnactivities in France, the UK and the Republic of Ireland. Terrorism in these countriesndepresses life satisfaction in a sizeable and robust way. However, the calculation ofnthe trade-off between terrorism and income requires improved measurement of thenmarginal utility of income.