Internal Migration Estimation in England and Wales

August 5, 2010
By

(This article was first published on Guy Abel » R, and kindly contributed to R-bloggers)

During my MS.c. I worked on methods for combining internal migration data in England and Wales. Migration data is often represented in square tables of origin-destination flows. These are of particular interest to analysing migration patterns when they are disaggregated by age, sex and some other variable such as illness, ethnicity or economic status. In England and Wales the data within these detailed flow table are typically missing in non-census years. However, row and column (origin and destination) totals are regularly provided from the NHS patient registers (see the first two columns of the hypothetical data situation below). I worked on a method to estimate the detailed missing flow data to sum to the provided totals in non-census years (see the third column of the hypothetical data situation below). This method is particularly useful for estimating migration flow tables disaggregated by detailed characteristics of migrants (such as illness, ethnicity or economic status) that are only provided by the ONS for census years.

Hypothetical Example of Data Set Situation (where migrant origins are labelled on the vertical axis and destinations on the horizontal axis).

Auxiliary Data (e.g. 2001 Census) Primary Data (e.g. 2004 NHSCR Data) Detailed Estimates for 2004 Based on Methodology
Without Limiting Long Term Illness Without Limiting Long Term Illness
N M S N M S
N 80 20 50 150 N 88 56 40 183
M 50 100 50 200 Illness details unavailable M 29 145 21 195
S 10 30 110 150 N M S S 7 52 54 113
140 150 210 500 N 260 124 252 115 491
With Limiting Long Term Illness M 320 With Limiting Long Term Illness
N M S S 170 N M S
N 30 10 20 60 200 370 180 750 N 33 28 16 77
M 40 50 70 160 M 23 73 29 125
S 30 10 40 80 S 20 17 20 57
100 70 130 300 76 118 65 259

The estimated values maintain some properties (various cross product ratios) of the Census data whilst updating marginal totals to more current data. For more details see my MS.c. dissertation (which I have put online here). This contains the R/S-Plus code to conduct the estimation in the Appendix. Note, there is also a published paper based on my MS.c. (abstract and links here) that uses a slightly modified R code.


To leave a comment for the author, please follow the link and comment on his blog: Guy Abel » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.