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Difficulty of Reaching Respondents and Nonresponse Bias: Evidence from Large Government Surveys

The Review of Economics and Statistics 2019 101(1), 176-191
How high is unemployment? How low is labor force participation? Is obesity more prevalent among men? How large are household expenditures? We study the sources of the relevant official statistics—the Current Population Survey, the Behavioral Risk Factor Surveillance System, and the Consumer Expenditure Survey—and find that the answers depend on whether we look at easy- or at difficult-to-reach respondents, measured by the number of call and visit attempts made by interviewers. A challenge to the (conditionally-)random-nonresponse assumption, these findings empirically substantiate the theoretical warning against making population-wide estimates from surveys with low response rates.

SNAP Benefits and Crime: Evidence from Changing Disbursement Schedules

The Review of Economics and Statistics 2019 101(2), 310-325 open access
In this paper, we study the effects of the timing of nutritional aid disbursement on crime, using two main sources of variation: (a) a policy change in Illinois that substantially increased the number of SNAP distribution days and (b) an existing Indiana policy that issues SNAP benefits by last name. We find that staggering SNAP benefits leads to large reductions in crime and theft at grocery stores by 17.5% and 20.9%, respectively. Findings also show that theft decreases in the second and third weeks following receipt but increases in the last week of the benefit cycle due to resource constraints.