Reaching the Hard to Reach with Intermediaries: The Kansas City Fed's LMI Survey

53 Pages Posted: 30 Jul 2018

See all articles by Kelly D. Edmiston

Kelly D. Edmiston

Center for Insurance Policy & Research / NAIC; University of Kansas - School of Medicine; University of Missouri; Baker University

Date Written: July 2018

Abstract

Reaching hard-to-reach individuals is a common problem in survey research. The low- and moderate-income (LMI) population, for example, is generally hard to reach. The Kansas City Fed’s Low- and Moderate-Income Survey addresses this problem by sampling a database of organizations to serve as proxies for the LMI population. In this paper, I describe why the LMI population can be hard to reach. I then explore potential problems with using a nonrandom survey sample and address the empirical validity of the Kansas City Fed’s LMI Survey. I compare results from the survey using the standard sample to results from the survey using a random sample. I find that the results of the surveys using the standard and random samples are not significantly different and conclude that the use of a nonrandom sample is not a significant problem for the LMI Survey. I find that the series of responses from the LMI Survey are correlated with the things they should be correlated with, suggesting that the survey is empirically valid and does a good job of measuring economic conditions in LMI communities.

Suggested Citation

Edmiston, Kelly D., Reaching the Hard to Reach with Intermediaries: The Kansas City Fed's LMI Survey (July 2018). Federal Reserve Bank of Kansas City Working Paper No. RWP 18-06, Available at SSRN: https://ssrn.com/abstract=3216681 or http://dx.doi.org/10.2139/ssrn.3216681

Kelly D. Edmiston (Contact Author)

Center for Insurance Policy & Research / NAIC ( email )

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University of Kansas - School of Medicine ( email )

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University of Missouri ( email )

Columbia, MO 65203
United States

Baker University ( email )

Baldwin City, KS
United States

HOME PAGE: http://https://www.bakeru.edu

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