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DTSTART:19960101T000000 END:STANDARD BEGIN:STANDARD TZNAME:GMT TZOFFSETFROM:+0100 TZOFFSETTO:+0000 DTSTART:19961027T020000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260428T074335Z DTSTART;VALUE=DATE-TIME:20251104T141500 DTEND;VALUE=DATE-TIME:20251104T153000 SUMMARY:Applied & Development Economics Seminar - Erzo Luttmer (Dartmouth ) TZID:Europe/London UID:20251104-8ac672c69874bbdc0198754571e201cd@warwick.ac.uk CREATED:20251020T151238Z DESCRIPTION:Title: Living Large or Long? Preference Estimates from Comple ted-Life Stories (joint with Joshua Schwartzstein\, Tomáš Jagelka\, Amit abh Chandra) The paper will not be ready for sharing prior to the semina r\, an abstract is as follows: ———Extended Abstract ——— The value of a y ear of life plays a crucial role in informing policy decisions related t o healthcare\, the environment\, innovation\, and safety regulations. Gi ven the significance of a life year’s value for policymaking\, estimates should accurately reflect people’s preferences. Currently\, estimates a re derived from individuals’ observed choices involving small risks of d eath and monetary compensation\, such as their willingness to take riski er jobs for higher pay. However\, these estimates have significant limit ations: individuals may not correctly perceive small risks\, may deviate from rationality for choices involving small probabilities\, and those making such choices\, like soldiers or firefighters\, represent a non-re presentative sample. Furthermore\, unobserved job characteristics relate d to risk can bias these estimates. Our paper introduces an alternative method for estimating the value of a life year\, attempting to overcome these limitations. We present a broadly representative sample of U.S. re spondents with choices between pairs of “completed-life stories\,” askin g which life they would prefer for themselves. By randomizing lifetime e arnings and ages of death in each story\, we estimate how the probabilit y of choosing a particular story increases with higher lifetime earnings versus a later age of death. We find that a 7% increase in lifetime ear nings increases the choice probability as much as a 1% increase in longe vity\, implying a Life Year Value (LYV) elasticity of 7. Consequently\, a typical individual with median earnings of $80\,000 annually values an additional life year at age 80 as equivalent to receiving an additional $5\,700 per year for all working years\, totaling approximately $225\,0 00 over their lifetime. We validate our estimates by demonstrating high test-retest reliability across survey waves and establishing their robus tness through a series of specification checks and additional randomizat ions. Furthermore\, we estimate markedly higher LYV elasticities for ind ividuals whose subjective attitudes indicate that they place an above-av erage value on an additional life year. A key methodological advantage o f our approach is that respondents engage in a natural task—assessing wh ether a life was desirable—which avoids triggering cultural or social no rms about paying for life extension. Moreover\, our method does not enta il decisions under uncertainty\, thereby avoiding many known behavioral biases. An important substantive advantage of our approach is that it al lows us to estimate how the Life Year Value varies with respondent chara cteristics\, age of death\, and lifetime earnings in a broadly represent ative population. We find that the LYV increases with lifetime earnings and decreases with later life years. Even when holding constant lifetime earnings and age of death\, there is notable heterogeneity in the LYV a cross individuals. This suggests that tailoring policies to individual p references can result in welfare improvements. —————— LOCATION:S2.79 CATEGORIES:Applied & Development Economics Seminar LAST-MODIFIED:20251020T151238Z ORGANIZER;CN=Gill Gudger: END:VEVENT END:VCALENDAR