The 1995/1996 Household Income, Expenditure - (PDF, 101 mb ...

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Table IY.3a Sample Probability Calculations, Response = Wage Employee Probability evaluated for representative individual * -0.2021 Change to representative individual response probability varying: REGION (Upper Rural) Cairo Alexandria Other Urban Lower Rural Lower Urban Upper Urban Frontier SEX (Female) Male AGE (34.97) RELATION (All Others) Head of<strong>Household</strong> Spouse ofHH Head MARITAL STATUS (All Others) Never Married Presently Married ORGANIZATION (All Others) Public Sector Private Sector INCOME GROUP (0 - 1000 £E / yr) 1001 - 3000 £E / yr 3001 - 5000 £E / yr 5001 - 7000 £E / yr 7001 - 9000 £E / yr 9001 - 12000 £E / yr HH AREA / MEMBER (20.92) HH MEMBERS ABROAD? (No) Yes DISTANCE (1.08 km) To Market DISTANCE (6.06 km) To Work 0.1426 0.1684 0.0596 -0.1210 -0.0579 -0.0342 -0.0914 0.0828 -0.2055 -0.1563 -0.0573 -0.3039 -0.2423 0.3889 -0.6471 0.0189 -0.0713 -0.1288 -0.1405 -0.1637 -0.2037 -0.2423 -0.2045 -0.2008 *A representative income earner from the full sample is defined as a 35- year-old married female head ofhousehold working in an organization categorized as "private."
Page 1 and 2:
The 1995/1996 Household Income, Exp
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Project'Background Executive Summar
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Chapter I_ Ov'"er"V"ie"" aI1d Proce
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1.11 decreases average household si
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1.13 HIECS as well as international
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1.15 respondent acceptance. These a
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mothelUs were expected to be more s
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1.22 material. There should be a cl
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elied upon, resistance to analytica
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in the speed of processing of any s
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I.E Global Edits 1.28 In late Novem
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Name, Size, and Level of HIECS Raw
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mandatory by law; 16) Reporting err
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Appendix LA Comparing Estimates fro
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The dependent variable is the tth o
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where and R = f g' are estimates of
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Table 1.1 1995/1996 HIECS Sample Si
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Table 1.3 Update Rate ({Sampled-Ori
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Table 1.5 Average Annualized Data E
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Table I.7 Annualized Error Characte
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Table 1.9 One-Way Analysis ofVarian
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MI: University of Michigan, 1980. L
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Sequential List of Tables and Figur
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Digit Preference Indices Digit 5 10
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proper income variable. There is st
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II.10 6.33% of HIECS households sai
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11.12 Percentage Changes in Median
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11.15 involves the difficulty in de
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household per capita income did not
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Table n.1 Asymptotic Properties ofB
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Table 11.2 Household Average Annual
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Table II.3 Household Average Annual
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Table n.3 Household Average Annual
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Table II.5 Earners Classified by Re
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Table II.7 Household Average Annual
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Table n.s 199011991 HIECS Equivalen
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INDIVIDUAL WAGES AND SALARIES INDIV
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Table 11.13 Regression of Level Hou
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Table 11.16 Average Expenditures fo
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Table 11.18 Elasticities for Subsid
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1982. Tellis, Gerard, "The Price El
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Sequential List of Tables III.2 Tab
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IIL5 wages have hardly kept pace wi
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IH.E Household Poverty in Egypt II!
Page 115 and 116: 111.14 number of poor households wo
Page 121 and 122: III. 20 Cairo, both the richest and
Page 123 and 124: Appendix lILA Statistical Formulas
Page 126 and 127: Table II!. 1 Poverty Rate Rankings
Page 128 and 129: Table III.3a Poverty Rate Rankings
Page 130 and 131: Table III.3c Poverty Rate Rankings
Page 132 and 133: 'able III.5 Poverty Rate Rankings b
Page 134 and 135: "able It!. 7a Poverty Rate Rankings
Page 136 and 137: Bibliography - Chapter III. Poverty
Page 138 and 139: 179, 1993. Rodgers, John L., and Jo
Page 140 and 141: Sequential List of Tables and Figur
Page 143 and 144: IV.S The unemployed are further cla
Page 146 and 147: IV.8 did not permit even a good est
Page 149 and 150: 3. Secondary Industry 4. Machine In
Page 153: IV.IS the benchmark from which to m
Page 156: IV.18 Finally, standard human capit
Page 163: Table IV.2 Individual Incomes by So
Page 168 and 169: Bibliography - Chapter IV. Human ca
Page 170 and 171: Cha.pter V_The Co:n.S1..I.IDer Pric
Page 172 and 173: V.A Introduction l V.3 One of the s
Page 174: (CPI).2 (1 ) V.S The current price
Page 178 and 179: V.9 receives all questionnaires fro
Page 180: then when they disappear from the m
Page 183 and 184: V.14 entail additional time for lea
Page 186 and 187: and since (a 1 + a2 = 1), (16) and
Page 188: To fix things mathematically and fo
Page 191: Figure V.I Example ofa Price Collec
Page 195 and 196: Bibliography - Chapter V. The Consu
Page 197 and 198: Cha.pter VI_ Hou.si.n.g VIol Table
Page 199 and 200: VLA Introduction! VI.3 This chapter
Page 202 and 203: VI. 6 with incomes for most of the
Page 205: infrastructure or planning permissi
Page 213 and 214: VI.17 have historically valued thei
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VI. 20 1995/1996 Urban Govs Lower E
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VI.22 next question becomes "How mu
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VI.24 nominal rental fee. In the co
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VI.26 cases does not rise throughou
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VI.29 f3 i = O. Chapter II showed t
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p Figure VI.2a Standard Graph ofthe
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Table VI.4 PersonslRoom, by Area, T
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Table VI.5 Average Housing Expendit
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Table VI.6 Ratio ofImputed Value of
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Bibliography - Chapter VI. Housing
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Leases Without Anyone having the Ri
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Cha.pter VII. Ed-u.ca.tioI1 Table o
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VILC Characterizing Young Pupils VI
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Average Annual Expenditures on Educ
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Two-Way Table of Number of Enrolled
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VILl3 data to suggest an opposite c
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Table VII.2 Totals ofEnrolled Stude
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Table VII.4a Sample Probability Cal
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Chapter VIII_ Medi.ca.I Expe:n.di.t
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VIlLA Introduction VIII.3 Access to
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VIII. 5 Average Annual Expenditures
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VIII.? medical insurance (DDM (1996
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Table VIII.2 Total Annual Medical E
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Table VIII.4 Household Average Annu
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Chapter IX. The Use of HIECS Data.
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IX.4 placed on HIECS survey output,
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IX.D The Future of CAPMAS IX.9 The
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Bibliography - Chapter IX. The Use
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CONTENTS Fieldwork: Enumerator's Ma
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Introduction The Government is seek
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General Instructions for Infonnatio
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* * * and its components: When obta
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Form (D): To be used by the supervi
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general guidelines should be follow
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• Fish production such as fish pr
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. Non-alcoholic drinks Guice' and c
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5. Filling table (14) related to in
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10. Signing on a sample of lists to
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1. Living household DEFINITIONS USE
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. Unemployed individuals • Indivi
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• Individuals working inside a fi
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The enumerator has to record on the
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Also this table determines the avai
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7 Transportation 4 8 Education 1 9
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molokhia, kinds of peppers, europea
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This subsidiary group includes the
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1. Rent * In case the house is owne
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• Other materials (shoe polish, f
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uses which are recorded in table (9
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which were consumed outside home ei
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This table includes premiums paid d
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6. Investment interest 7. Interest
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Instructions for Office Editing
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total consumption cell or annual ex
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(marital status) can be from "2" to
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Data which requires coding: The 199
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Occupation Codes
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171101 181101 211401 222201 231101
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293201 294202 294403 294601 294605
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394201 394202 394902 394905 394999
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531202 531203 531204 531205 531208
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722702 722799 723101 723201 731101
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793308 793399 793504 793601 793604
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occupation Codes 14 833308 operator
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1110 1.120 1130 1210 1220 1301 1302
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CPI Item Codes '.
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CPI item codes 2 SWEPOT-NON-PROD 30
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MANGO-NON-PROD 430 HEALTH-INS 2417
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CURD-HH-PROD 816 OTHER-REST 3207 CU
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DRESSES-FEM 1614 CDS 5011 SWEATERS-
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Page 1 Data Dictionary: HIECS IMPS
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Page 4 Data Dictionary: HIECS Creat
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Page 11 Data Dictionary: HIECS Crea
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Page 33 Data Dictionary: HIEeS Crea
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Page 65 Record Name: FINANCIAL Data
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SAS Data Reformat File
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if stage=3 then seclev=li else secl
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REFRMT.SAS 4 if wallmatl=4 then mud
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REFRMT.SAS 6 output out=codecigsi t
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if urbrur=2 then urbrur=O; annval=a
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REFRMT.SAS 10 filename a21 'c:\proc
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REFRMT.SAS 12 input rectype 1-2 num
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HIECS Weight Construction SAS File
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if (gov=33 and urbrur=O (gov=33 and
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WTCALC.SAS 4 if km=3 and sv=060 and
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proc print data=all· run; , WTCALC
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options pagesize=60 i libname in 'c
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if econact=2832 then econact=3832;
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SUMMARY STATS FROM THE COVER RECORD
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SUMMARY STATS FROM THE HOUSING RECO
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SUMMARY STATS FROM THE FOOD AND BEV
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SUMMARY STATS FROM THE CIGARETTES A
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SUMMARY STATS FROM THE FOOTWEAR REC
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SUMMARY STATS FROM THE HOUSEHOLD LI
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SUMMARY STATS FROM THE HOUSEHOLD FU
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SUMMARY STATS FROM THE HOUSEHOLD CL
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SUMMARY STATS FROM THE MEDICAL RECO
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SUMMARY STATS FROM THE PUBLIC TRANS
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SUMMARY STATS FROM THE CULTURE, SPO
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SUMMARY STATS FROM THE CSE (OTHER)
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SUMMARY STATS FROM THE PERSONAL APP
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SUMMARY STATS FROM THE SERVICES NEC
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sUMMARY STATS FROM THE AGRICULTURE
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SUMMARY STATS FROM THE NON-AGRICULT
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SUMMARY STATS FROM THE FINANCE INCO
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SUMMARY STATS NET CHANGES TO HH SAV
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options pagesize=60; libname in 'c:
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inc3(keep=round month gOY urbrur km
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MAKEVAR2.SAS 1 options pagesize=60;
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SAS Files for Construction of CENVA
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MAKEVARI.SAS 3 if gov=l and urbrur=
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MAKEVARI.SAS 5 if occu=532301 then
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un; @46 sourcel Zl. @47 source2 zl.
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