PROVIDE Project Technical Paper 2005:1
February 2005
Table of Contents
1. Introduction.................................................................................................................1
2. An overview of IES 2000 and the LFS 2000:2 ..........................................................1
2.1. Data files ...............................................................................................................1
2.1.1. IES 2000........................................................................................................1
2.1.2. LFS 2000:2....................................................................................................3
2.2. Sampling and weighting........................................................................................3
2.2.1. Survey design.................................................................................................3
2.2.2. Clustering and stratification .........................................................................4
2.2.3. The ‘design effect’.........................................................................................5
2.2.4. Unequal selection probabilities....................................................................6
2.2.5. Weights in Stata.............................................................................................6
2.2.6. Survey estimation in Stata.............................................................................8
2.3. Merging the IES 2000 and the LFS 2000:2 ........................................................10
2.3.1. Overview......................................................................................................10
2.3.2. Comparing IES 2000 and LFS 2000:2 data................................................11
2.4. IES 2000 data problems ......................................................................................16
2.4.1. Literature review.........................................................................................16
2.4.2. Comparing income and expenditure patterns with other data sources ......18
2.4.3. Income and expenditure patterns by deciles...............................................23
3. Stata do-files to extract and reorganise data (ies2000.do).....................................27
3.1. Reading in the data (readin.do)...........................................................................31
3.2. Forming a household-level IES 2000 dataset (ies2000h.do) ..............................31
3.2.1. Domestic workers (domworker.do).............................................................31
3.2.2. Home production for home consumption (homegrown.do) ........................32
3.2.3. Person-level data file (person.do)...............................................................34
3.2.4. General income and expenditure file (general.do) .....................................36
3.2.5. Cleaning the data (cleanup.do)...................................................................37
3.2.6. Annualising and creating control totals (annualise.do and totals.do)........48
3.2.7. Imputing ‘missing’ food and tax expenditure values..................................48
3.2.8. Mapping income and expenditure categories (mapexp.do and mapinc.do)50
3.3. Forming a person-level IES 2000 dataset (ies2000p.do) ....................................51
3.4. Cleaning up education and factor data in the LFS 2000:2 (lfs2000_2.do)..........51
4. Further data analysis and adjustments...................................................................52
4.1. Income and expenditure differences ...................................................................52
4.2. Adjusting the data (adjustments.do)....................................................................56
4.2.1. Merging the IES 2000 and LFS 2000:2 files (ieslfsmerge.do)....................58
4.2.2. Adjusting transfer variables (transfers.do).................................................58
4.2.3. Income and expenditure differences (fixing.do)..........................................59
4.2.4. Scaling up the person-level factor income variables (inclabpscaling.do)..60
4.2.5. Forming factor groups (newfact.do and newfact_old.do)...........................61
4.2.6. Forming variables for various possible household classifications.............62
4.3. Printing SAM sub-matrices (print.do) ................................................................62
5. Concluding remarks..................................................................................................63
6. References ..................................................................................................................63
7. Appendix....................................................................................................................64
7.1. Wage and salary income from labour - data adjustments...................................64
7.2. Household expenditure accounts.........................................................................66
7.3. Creating an inter-household transfers matrix......................................................66
ii
© PROVIDE Project
More intriguing information
1. The name is absent2. The name is absent
3. Popular Conceptions of Nationhood in Old and New European
4. The name is absent
5. Fertility in Developing Countries
6. Modeling industrial location decisions in U.S. counties
7. AN EMPIRICAL INVESTIGATION OF THE PRODUCTION EFFECTS OF ADOPTING GM SEED TECHNOLOGY: THE CASE OF FARMERS IN ARGENTINA
8. Eigentumsrechtliche Dezentralisierung und institutioneller Wettbewerb
9. Cross border cooperation –promoter of tourism development
10. Competition In or For the Field: Which is Better