Charlie Rafkin
I'm a fifth-year economics PhD student at MIT, with interests in public, behavioral, and labor economics. I received an AB in mathematics from Dartmouth College in 2016.
Email: crafkin@mit.eduWorking Papers
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+ Abstract
+ Replication archive
+ Literature review materials
+ Survey instruments
We study the U.S. rollout of eligibility expansions in the Supplemental Nutrition Assistance Program. Using administrative data from the U.S. Department of Agriculture, we show that expanding eligibility raises enrollment among the inframarginal (always-eligible) population. We use an online experiment and an administrative survey to measure the role of information frictions and stigma as mechanisms. We find that raising the eligibility threshold reduces stigma without causing the new take-up; instead, information frictions explain the results. To interpret our findings, we develop a general model of the optimal eligibility threshold for welfare programs with incomplete take-up. The optimal threshold depends on the size of the inframarginal take-up response to changing the threshold, as well as how much information frictions and stigma contribute. Given our empirical results and certain modeling assumptions, the SNAP eligibility threshold is lower than optimal.
“Intergenerational Mobility in India: New Measures and Estimates Across Time and Social Groups” (with Sam Asher and Paul Novosad), September 2022. Conditionally accepted at American Economic Journal: Applied Economics.
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+ Abstract
+ Replication archive
+ Online appendix
+ Fact sheet
+ Interactive map of mobility in Delhi
We study intergenerational mobility in India. We propose a new measure of upward mobility: the expected education rank of a child born to parents in the bottom half of the education distribution. This measure works well under data constraints common in developing countries and historical contexts. Intergenerational mobility in India has been constant and low since before liberalization. Among sons, we observe rising mobility for Scheduled Castes and declining mobility among Muslims. Daughters’ intergenerational mobility is lower than sons’, with less cross-group variation over time. A natural experiment suggests that affirmative action for Scheduled Castes has substantially improved their mobility.
Publications
“Optimal Regulation of E-cigarettes: Theory and Evidence” (with Hunt Allcott). NBER Working Paper #27000. American Economic Journal: Economic Policy, November 2022.-
+ Abstract
+ Replication archive
We model optimal e-cigarette regulation and estimate key parameters. Using tax changes and scanner data, we estimate relatively elastic demand. A demographic shift-share identification strategy suggests limited substitution between e-cigarettes and cigarettes. We field a new survey of public health experts, who report that vaping is more harmful than previously believed. In our model’s average Monte Carlo simulation, these results imply that optimal e-cigarette taxes are higher than recent norms. However, e-cigarette subsidies may be optimal if vaping is a stronger substitute for smoking and is safer than the experts report, or if consumers overestimate the health harms from vaping.
“Mortality Change Among Less Educated Americans” (with Sam Asher and Paul Novosad). American Economic Journal: Applied Economics, October 2022.
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+ Replication archive (and general-use programs to create bounds)
Measurements of mortality change among less educated Americans can be biased because the least educated groups (e.g. dropouts) become smaller and more negatively selected over time. We show that mortality changes at constant education percentiles can be bounded with minimal assumptions. Middle-age mortality increases among non-Hispanic whites from 1992–2018 are driven almost entirely by the bottom 10% of the education distribution. Drivers of mortality change differ substantially across groups. Deaths of despair explain most of the mortality change among young non-Hispanic whites, but less among older whites and non-Hispanic blacks. Our bounds are applicable in many other contexts.
“When Guidance Changes: Government Stances and Public Beliefs” (with Advik Shreekumar and Pierre-Luc Vautrey). Journal of Public Economics, April 2021.
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+ Abstract
+ Replication archive
+ Ungated version
+ Survey instruments
Governments often make early recommendations about issues that remain uncertain. Do governments’ early positions affect how much people believe the latest recommendations? We investigate this question using an incentivized online experiment with 1900 US respondents in early April 2020. We present all participants with the latest CDC projection about coronavirus death counts. We randomize exposure to information that highlights how President Trump previously downplayed the coronavirus threat. When the President’s inconsistency is salient, participants are less likely to revise their prior beliefs about death counts from the projection. They also report lower trust in the government. These results align with a simple model of signal extraction from government communication, and have implications for the design of changing guidelines in other settings.
Code & Resources
GitHub repo containing simple Javascript code for improving Qualtrics surveys. Also includes a few other tricks for general research workflow.
A checklist that I run through before launching any Qualtrics survey.
scfses: A Stata program to obtain quantiles of variables (point estimates and standard errors) in the Survey of Consumer Finances.