Using population weighted county centroids to calculate migration distance for historical linked census data

Research output: Contribution to conferencePaper

Abstract

The availability of complete count historical microdata has permitted the linking of individuals between census years for longitudinal analysis. These linked datasets provide very important research opportunities regarding historical population mobility. In previous work, we estimated migration distance with geographical country centroids. This work underlies the MILEMIG variable in the IPUMS Linked Samples. The geographical centroid assumes that the population is evenly distributed throughout the county. This paper extends and refines that measure by calculating migration distance using population weighted county centroids, which we argue relies on more realistic assumptions about how county populations are distributed. We describe our method of calculating population weighted county centroids. We then compare the distances calculated using geographical versus population weighted county centroids. Finally, we describe the effects of population weighted centroids on the migration distances in one of the IPUMS Linked Samples.
Original languageEnglish (US)
StatePublished - 2011
EventPopulation Association of America Annual Meeting 2011 - Marriott Wardman Park, Washington D.C., United States
Duration: Mar 31 2011Apr 2 2011

Conference

ConferencePopulation Association of America Annual Meeting 2011
Abbreviated titlePAA 2011
CountryUnited States
CityWashington D.C.
Period3/31/114/2/11

Fingerprint Dive into the research topics of 'Using population weighted county centroids to calculate migration distance for historical linked census data'. Together they form a unique fingerprint.

  • Cite this

    Vick, R., & Sarkar, S. (2011). Using population weighted county centroids to calculate migration distance for historical linked census data. Paper presented at Population Association of America Annual Meeting 2011, Washington D.C., United States.