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

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V.E Dissemination and Publication V.13 It is possible to apply remedies in CAPMAS's price measurement measure-for-measure which will avoid the political controversies of wholesale changes in the price index itself. Many of the criticisms end-users will have about methodological changes in index construction can be dampened by the proper outreach from publications. A special CPI Bulletin should be devoted to the link month with a full explanation of how and why component indices are being changed for special commodity groups, how the new index can be conveniently compared with the old one, perhaps a recalculation of back indices using the new methods and index deflation factors ("splice ratios"). Other, less volatile, versions of the overall index (excluding items needing imputation or housing, for example) can be presented as workable alternatives. There is a clear need for a "gradualist" representation of the impact of the changes. Any reader, monitor, evaluator of Egyptian economic conditions will appreciate the additional information, and will begin to respect CAPMAS for its newfound commitment to customer satisfaction. V.F Conclusion The main recommendation regarding price measurement in Egypt is a very simple one: the weights from the 1995/1996 HIECS should be incorporated into CAPMAS's index immediately! There is no reason or excuse for delaying to use these weights. Caution is no longer a reason, as expenditure bounds and critical estimates have been shown to be asymptotically precise at given levels of statistical significance. This one recommendation, if properly implemented, entails changes to many other aspects of inflation measurement: the choice of items and weights, the pricing forms and how enumerators will adapt to new pricing techniques such as imputation, the use of simple spreadsheet technology to link the monthly index, and how all the changes will be presented to ultimate data users. The Laspeyres estimator CAPMAS uses is a common, acceptable one, but it should be linked. A secondary recommendation is for further study and research, ultimately for the purpose of improving CAPMAS's ability to measure inflation. Alternate estimators (such as the Geometric. above) should be calculated to see how they track the official index. This would be a very simple point of departure; CAPMAS has all of the resources and there are plenty of good economists more than willing to undertake applied research into the CPI. Alternate price indices would be published, preferably, for the scrutiny of the wider statistical community. Unfortunately, because the present index is grossly mismeasured, the prescriptions for making the situation better call for starting over. Even the proposed temporary remedies appear overly ambitious to be accomplished in the time period which the IMF has suggested. A full-time, on-the-spot technical assistance team would require at least six months to make the proper and necessary changes detailed above, and to transform the index into a state-of-the-art measure of representative changes in the cost of living would "+J50/J$44" which means that the computer will divide the number in cell J50 by the number in cell J44. The denominator will not change; the dollar sign makes it a constant divisor.
V.14 entail additional time for learning effects and the routinization of skills. The importance of measuring levels of living cannot be overstated, and the donor community should respond to CAPMAS's technical needs expeditiously and fully, because there will likely never be a better opportunity.
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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
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
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Page 156: IV.18 Finally, standard human capit
Page 163: Table IV.2 Individual Incomes by So
Page 166: Table IV.4 Wage Regression Results
Page 169 and 170: USAID/EAP, "Findings of the Employm
Page 171 and 172: sequential List of Tables and Figur
Page 173 and 174: V.4 To underscore the critical impo
Page 176: V.C.2 Implementation of Current Wei
Page 179 and 180: V.10 telephone calls, in mind. Note
Page 184: Appendix V.A An Alternate Estimator
Page 187 and 188: (19) E (20 ) t I col, a, t = = Eo 1
Page 190 and 191: Table V.l Comparison of Major Group
Page 193: Figure Y.3 Example ofEgypt's Price
Page 196 and 197: 272-278, 1980. Pollak, R.A., "The S
Page 198 and 199: Sequential List of Tables and Figur
Page 200: VI.4 often two or more floors, with
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Page 217 and 218: VI.2! Considering utilities as elec
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Page 226 and 227: 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 59 Data Dictionary: HIECS crea
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REFRMT.SAS 1 options pagesize=60; l
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REFRMT.SAS 3 if source4=4 then sour
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*/i REFRMT.SAS 5 if bwtv=2 then bwt
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REFRMT.SAS 7 data in. If; "infile a
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REFRMT.SAS 9 output out=codecomm; t
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REFRMT.SAS 11 annval=annval/100 i p
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REFRMT.SAS 13 proc means; var earne
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WTCALC.SAS 1 0ptions pagesize=60; l
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else if gov=13 and urbrur=O then do
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*CAPMAS and Cairo Demographic Cente
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SAS Occupation and Economic Activit
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HKFIX.SAS 2 if occu=413109 then occ
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Summary Statistics of All Questionn
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SUMMARY STATS FROM THE DEMOGRAPHIC
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SUMMARY STATS FROM THE INVENTORY RE
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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
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