Correcting sample selection in FARS data to estimate seatbelt use
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1Department of Economics, Boise State University, Boise, ID 83725-1620, USA. samiaislam@boisestate.edu
Introduction:
In this paper, we show that FARS data can be a comparable alternative to observational NOPUS data in estimating seat belt use in the United States once we correct for sample selection bias.
Results:
Based on assumptions of independence for seatbelt choice, we establish a lower and upper bound for seatbelt usage rates, and find that once we correct for sample selection bias, the seatbelt usage estimates from the corrected FARS emerge at least as a comparable alternative to NOPUS estimates.
Impact On Industry:
This implies that researchers can use corrected FARS to complement NOPUS, thus being able to utilize the rich cross-sectional details available in FARS data to analyze various relevant research questions.
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