The supplemental .zip archive for this publication contains the following files: 1. R script, to produce UK plot Code for UKHLS.R 2. R script, to produce Australian plot Code for HILDA.R 3. R script, to produce Swedish plot 4. Text file, containing centroids for Lower Super Output Areas 2001 LSOA2001 centroids.txt 5. Folder to place the UK data 6. Folder to place the UK geocodes 7. Folder to place Australian data 8. Folder containing aggregated Swedish data Below are instructions for reproducing the following descriptive analysis: Thomas, M.J., Gillespie, B.J. and Lomax, N. (2019). Variations in migration motives over distance. Demographic Research. ****************************************************************************************************************************** ****Accessing Household, Income and Labour Dynamics in Australia (HILDA) survey data The HILDA General Release data can be ordered from the Australian Data Archive (ADA): https://dataverse.ada.edu.au/dataverse/hilda. Our analysis used Waves 1-16. All applicants must complete a once only Confidentiality Deed Poll and email the scanned, signed copy to National Centre for Longitudinal Data (NCLD) (ncldresearch@dds.gov.au) and ADA (ada@anu.edu.au). Previous users of datasets must also complete the NCLD Data Holdings Form. ****HILDA variables used: xwaveid = Cross-wave identifier *Age for subsampling hgage = age at last birthday *Distance variable hhmovek = Distance person moved since last wave *Area motive variables mhreaas = To be closer to amenities/services/public transport mhreabn = To live in a better neighbourhood mhreals = Seeking change of lifestyle *Family motive variables: mhreaff = To be closer to friends and/or family mhreafm = To follow a spouse or parent/Whole family moved mhreamb = Marital/relationship breakdown mhreamr = To get married/moved in with partner mhreapf = Personal/family reasons (NFI) *Education motive variable: mhreast To be close to place of study *Employment motive variables: mhrealw = To look for work mhreanj = To start a new job with a new employer mhreaob = To start own business mhrearb = Decided to relocate own business mhreawp = To be nearer place of work mhreawr = Work reasons (NFI) mhreawt = Work transfer *Housing motive variables: mhreagh = Government housing (no choice) mhreahn = Housing/neighbourhood reason (NFI) mhrealb = To get a larger/better place mhreaev = Evicted mhreapn = Property no longer available mhreapo = To get a place of my own/our own mhreasm = To get a smaller/less expensive place *'Other' motive variables: mhreana = Not Answered mhreani = NEI to classify mhreahr = Health reasons mhreaos = Main reasons for moving mhreatr = Temporary relocation *Complex survey design variables hhwte = cross-section enumerated person weight xhhraid = Cluster design variable xhhstrat = Strata design variable ****Accessing United Kingdom Household Longitudinal data The UKHLS main survey data (SN 6614 Understanding Society: Waves 1-8, 2009-2018 and Harmonised BHPS: Waves 1-18, 1991-2009) can be ordered from the UK Data Service: https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6614. The UKHLS LSOA geocodes (SN 6670 Understanding Society: Waves 1-8, 2009-2018 and Harmonised BHPS: Waves 1-18, 1991-2009: Special Licence Access, Census 2001 Lower Layer Super Output Areas) can be ordered from the UK Data Service: https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6670. Our analysis used Waves 1-8. Data may be obtained by registering here: https://beta.ukdataservice.ac.uk/myaccount/login. If you are based at a UK institution of higher or further education, or your institution is part of the UK Access Management Federation (UKAMF), you can log in immediately. If you are not in the UK, or you are not on the list of federation members, you can request a UK Data Archive username and password. This analysis uses the Special License version of the data. To access these data users will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission. ****UKHLS variables used: pidp = Cross-wave person identifier *Variables used in model to adjust weights w_hidp = Household identifier w_dvage = Age of the respondent at last birthday w_sex_dv = Sex w_mastat_dv = De facto marital status w_nchild_dv = Number of own children in household w_health = Long-standing illness or impairment w_fimnlabgrs_dv = Total monthly labour income gross w_tenure_dv = Housing tenure w_gor_dv = Government office region w_hhorig = Sample origin w_sampst = Sample status * Motive variables w_movy11 = Family related reasons w_movy12 = Education related reasons w_movy13 = Employer related reasons w_movy14 = Housing related reasons w_movy15 = Area related reasons w_movy16 = Moved for another reason *Complex survey design variables w_indinub_xw = Combined cross-sectional adult full interview weight w_strata = Strata w_psu = Primary sampling unit *Distance variables: w_lsoa01 = Census 2001 Lower Layer Super Output Areas (from Special Licence Access, SN 6670 Understanding Society) FPOINT_X = Easting (from LSOA2001 centroids.txt) FPOINT_Y = Northing (from LSOA2001 centroids.txt) ****Accessing data for Swedish survey of motives The Swedish microdata are not publically available. Enquiries about data access can be directed to Dr Thomas Niedomysl (thomas.niedomysl@keg.lu.se) at the Department of Human Geography, Lund University. With access granted, the two variables used are the straight-line (Euclidian) distance between origin and destination and the pre-coded responses to Q1 (the primary motive for moving). The survey sample weights are also applied. To facilitate replication, an aggregated table of the Swedish data is included in the folder "Replication files/SWE data". ****Instructions: 1) Instructions for the Australian data: a. Unzip the HILDA survey data to the folder “Replication files/Aus data” b. Open RStudio c. Open and run the file “Code for HILDA.R” (in the folder “Replication files”). 2) Instructions for the UK data: a. Unzip and save the main survey data (SN 6614) to the folder “Replication files/UK data” b. Unzip and save the LSOA 2001 geocodes (SN 6670) to the folder “Replication files/UK geocodes” c. Open RStudio d. Open and run the file “Code for UKHLS.R” (in the folder “Replication files”). 3) Instructions for the Swedish data: a. Open RStudio b. Open and run the file “Code for Sweden.R” (in the folder “Replication files”). The replication files were written in R version 3.5.3 (2019-03-11) -- "Great Truth" Copyright (C) 2019 The R Foundation for Statistical Computing ****************************************************************************************************************************** Contact: m.j.thomas@rug.nl, date: 26/03/2019