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

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WTCALC.SAS 4 if km=3 and sv=060 and psu=218 then minus=l; if km=lO and sv=030 and psu=227 then minus=l; end; end; else if gov=26 then do; if urbrur=l then do; if km=4 and sV=OlO and psu=206 then minus=l; if km=l and sv=030 and psu=202 then minus=l; if km=2 and sV=OlO and psu=203 then minus=l; if km=S and sV=OlO and psu=204 then minus=2; if km=13 and sv=OlO and psu=20S then minus=l; if km=14 and sV=OlO and psu=207 then minus=l; end; if urbrur=O then do; if km=6 and sV=020 and psu=240 then minus=l; if km=l4 and sv=300 and psu=253 then minus=l; end; end; else if gov=27 and urbrur=l then do; if km=lO and sV=OlO and psu=209 then minus=2; If km=13 and sV=OlO and pSU=208 then minus=l; end; else if gov=31 then do; if urbrur=l then do; if km=2 and sv=OlO and psu=219 then minus=l; end; if urbrur=O then do; if km=2 and sv=020 and psu=279 then minus=8; end; end; else if gov=32 and urbrur=O and km=l and sv=050 and psu=278 then minus=l; else do; minus=O; end; run; ., /*Eligible households don't include demolished, changed*/; /*to establishment, vacant, or out-of-scope conditions.*/; data for(keep=gov urbrur km sv psu eligible selected persons minus completd basicwt adjwtl ); set fourth; if minus=. then minus=O; eligible=selected-minus; basicwt=(urpop*svhhs)/(chunks*svpop*selected) ; adjwtl=(eligible/completd)*basicwt; title 'Summary Statistics for First-Stage Basic Weight, and Adjusted'; proc means; var basicwt adjwtl; run; ., /*Sum the denominator for equation on p. 9 Megill(95) */; /*to account for pop change in the governorate since 86*/; data govl; set for; if gOY > 30 then gov=30; fact=adjwtl*persons; proc summary; var fact; class gOY; output out=govs sum=den; run; o, data govpops; set govs(drop= type _freq_); if gOY ne 0; - - /*Now account for the second stage adjustment factor for pop proj*/; /*Source: Population Projections for the Republic of Egypt */;
*CAPMAS and Cairo Demographic Center, Sept., 1992, mid-year 1996*/; /*estimates. Note: *includes* prisoners, nomads, etc. */; if gov=1 then est=7059000; if gov=2 then est=3558000; if gov=3 then est=563000; if gov=4 then est=501000; if gov=ll then est=908000; if gov=12 then est=4259000; if gov=13 then est=4258000; if gov=14 then est=3492000; if gov=15 then est=2230000; if gov=16 then est=3494000; if gov=17 then est=2755000; if gov=18 then est=4079000; if gov=19 then est=773000; if gov=21 then est=5297000; if gov=22 then est=1804000; if gov=23 then est=2001000; if gov=24 then est=3260000; if gov=25 then est=2763000; if gov=26 then est=2988000; if gov=27 then est=2841000; if gov=28 then est=1013000; if gov=30 then est=707000; adjwt2=est/den; proc sort; by gOY; run; ., data lastsort; set gov1; proc sort; by gOY; run; data out.wgts(keep=gov urbrur km sv psu finlwt normwt); merge lastsort govpops; by gOY; /*rename the frontier governorate codes as original */; if gov=30 then do; if psu=279 or if psu=278 or if psu=277 or if psu=280 or end; finlwt=adjwt1*adjwt2; normwt=finlwt/421380.36; psu=219 psu=218 psu=217 psu=220 then then then then gov=31; gov=32; gov=33; gov=34; WTCALC.SAS 5 title 'Summary Statistics for the Final and Normalized Final Weights'; proc means; var normwt finlwt; run; title 'The 1995/1996 HIECS Final Weights'; proc print data=out.wgts; run; data ok; set out.wgts; proc summary; var finlwt normwt; output out=all sum=; run; title 'Proof that the Normalized Weights Sum to 1.00'; ,. ,
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!
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111.14 number of poor households wo
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III. 20 Cairo, both the richest and
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Appendix lILA Statistical Formulas
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Table II!. 1 Poverty Rate Rankings
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Table III.3a Poverty Rate Rankings
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Table III.3c Poverty Rate Rankings
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'able III.5 Poverty Rate Rankings b
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"able It!. 7a Poverty Rate Rankings
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Bibliography - Chapter III. Poverty
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179, 1993. Rodgers, John L., and Jo
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IV.S The unemployed are further cla
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IV.8 did not permit even a good est
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3. Secondary Industry 4. Machine In
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IV.IS the benchmark from which to m
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IV.18 Finally, standard human capit
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Table IV.2 Individual Incomes by So
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Table IV.4 Wage Regression Results
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USAID/EAP, "Findings of the Employm
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sequential List of Tables and Figur
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V.4 To underscore the critical impo
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V.C.2 Implementation of Current Wei
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V.10 telephone calls, in mind. Note
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V.E Dissemination and Publication V
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Appendix V.A An Alternate Estimator
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(19) E (20 ) t I col, a, t = = Eo 1
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Table V.l Comparison of Major Group
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Figure Y.3 Example ofEgypt's Price
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272-278, 1980. Pollak, R.A., "The S
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VI.4 often two or more floors, with
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VI.? notoriously difficult to regul
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VI.II consumption of housing. Assum
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Rent Elasticities VI.18 1990/1991 O
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VI.2! Considering utilities as elec
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Classification of Housing Type and
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VI.2S statistically significant) wi
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VI.27 values) is positive: 587.51 f
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Figure VI. 1 A Synopsis of Egyptian
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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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Table VI.7 Comparison ofConsumer Su
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Frankena, Mark, "Alternative Models
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Development in Egypt: Investing in
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VIL7 of age of the household head c
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Two-Way Classification of Attained
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VILli The table above shows that, f
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Table VI!. 1 Estimates ofProportion
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Table VI!.3 Enrollment Ratios (Freq
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Bibliography - Chapter VII. Educati
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VIII. 4 surgical or procedural, ane
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VIII. 6 level, additional education
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Table VIlLI Mean Medical Expenditur
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Table VIII.3 Household Average Annu
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Bibliography - Chapter VII. Medical
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IX.A Introduction · IX.2 An offici
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IX.S and later found that the infor
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IX.I0 higher quality, less costly i
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The 1995/1996 Household Income, Exp
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Guidelines A Survey on Income, Expe
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Objectives ofthe survey: 1. Identif
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traditions, and holding back inform
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Survev FORMS A. Auxiliary form (For
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Field Work: visit will be before th
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. Vegetables group -- onion, cucumb
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* If the household consumed a commo
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four sub-totals (8-1), (8-2), (8-3)
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The editor is the link between the
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7. Confirming that all families in
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5. Domicile It is the place where t
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8. Working condition The relationsh
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General Instructions Instructions f
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abroad. This table is completed in
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These are simple examples that defi
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This second group contains the foll
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poultry husbandry owned by the hous
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• Underwear winter and summer rea
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Table (6): Household expenses of fu
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This table does not include free se
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ecorded in the overall value column
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'" Expenses during the three months
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of this income on the individuals o
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Data Entry Manual
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First: Editing Coverage The 1995/19
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1 through 20: 4. If the reply to qu
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Instructions for Office Coding ,. ,
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January takes code "01" etc. d. Rur
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011100 121101 122103 131102 131103
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261176 261183 261199 262101 262102
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331911 331916 331917 331919 331999
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442301 442302 442303 491101 491103
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Occupation Codes 9 621502 Milker 62
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742112 742209 742214 742301 742302
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826107 826199 826203 826204 826206
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Economic Activity Codes
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Economic Activity Codes 2 fibers ex
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CONSUMPTION 8888 HEADCOVER-FEM 1620
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FRESH-VEG-TOTAL 359 BLANKETS-COTION
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MEATS-TOTAL 515 SCHOOL-TRANS 2912 C
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CPI item codes 7 GRILLED-FISH 1109
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The HIECS Data Dictionary
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Page 3 Data Dictionary: HIECS Creat
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Page 12 Data Dictionary: HIECS Crea
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Page 21 Data Dictionary: HIEes Crea
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Page 426 and 427: Page 39 Data Dictionary: HIECS Crea
Page 434: Page 47 Data Dictionary: HIECS Crea
Page 446: Page 59 Data Dictionary: HIECS crea
Page 459 and 460: REFRMT.SAS 1 options pagesize=60; l
Page 461 and 462: REFRMT.SAS 3 if source4=4 then sour
Page 463 and 464: */i REFRMT.SAS 5 if bwtv=2 then bwt
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Page 471 and 472: REFRMT.SAS 13 proc means; var earne
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Page 475: else if gov=13 and urbrur=O then do
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Page 481 and 482: HKFIX.SAS 2 if occu=413109 then occ
Page 483 and 484: Summary Statistics of All Questionn
Page 487: SUMMARY STATS FROM THE DEMOGRAPHIC
Page 490: SUMMARY STATS FROM THE INVENTORY RE
Page 503 and 504: SUMMARY STATS FROM THE FOOD AND BEV
Page 508: SUMMARY STATS FROM THE FOOD AND BEV
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SUMMARY STATS FROM THE CLOTHING REC
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SUMMARY STATS FROM THE HOUSING AND
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SUMMARY STATS FROM THE HOUSEHOLD FU
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SUMMARY STATS FROM THE HOUSEHOLD FU
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SUMMARY STATS FROM THE MEDICAL RECO
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SUMMARY STATS FROM THE PRIVATE TRAN
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SUMMARY STATS FROM THE COMMUNICATIO
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SUMMARY STATS FROM THE CSE (OTHER)
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SUMMARY STATS FROM THE HOTEL, COFFE
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SUMMARY STATS FROM THE PERSONAL CAR
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SUMMARY STATS FROM THE WAGE AND SAL
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AVERAGE PERCENT CONTRIBUTION OF SEP
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SUMMARY STATS FROM THE LANDS RECORD
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SUMMARY STATS FROM THE OTHER SOURCE
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SAS Files for Construction of CENVA
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if gov=23 and if gov=25 and if gov=
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proc delete data=work.sort5; run; p
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@7 finlwt @15 males @17 females @19
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options pagesize=60 i libname in 'c
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if occu=832104 then occu=732104; if
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MAKEVARI • SAS 6 or gov=27 or gOV
show all

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