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. Government spending composition, technical change and wage inequality2. Searching Threshold Inflation for India
3. The name is absent
4. Population ageing, taxation, pensions and health costs, CHERE Working Paper 2007/10
5. Macroeconomic Interdependence in a Two-Country DSGE Model under Diverging Interest-Rate Rules
6. The purpose of this paper is to report on the 2008 inaugural Equal Opportunities Conference held at the University of East Anglia, Norwich
7. Education Responses to Climate Change and Quality: Two Parts of the Same Agenda?
8. What Lessons for Economic Development Can We Draw from the Champagne Fairs?
9. Dendritic Inhibition Enhances Neural Coding Properties
10. The name is absent