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GEM 2006 Stephen Hunt Adult Population Survey

GEM 2006 Stephen Hunt Adult Population Survey. GEM 2006 Adult Population Survey. Develop draft of the final Adult Population Survey Questionnaire Develop the survey tender requests for the adult population survey Countries Identify possible survey firms and acquire bids for the research

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GEM 2006 Stephen Hunt Adult Population Survey

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  1. GEM 2006Stephen HuntAdult Population Survey

  2. GEM 2006 Adult Population Survey • Develop draft of the final Adult Population Survey Questionnaire • Develop the survey tender requests for the adult population survey • Countries Identify possible survey firms and acquire bids for the research Useful resource • http://www.esomar.nl/directory_counlist.html

  3. GEM 2006 Adult Population Survey: tender for requests The Global Entrepreneurship Monitor program collects data on people’s attitudes to business and rates of business start ups on a countrywide basis. This is an expansion, to 40 countries, of a program started in 1999. Data collection for the 2006 round is to be completed by June 2006. The average interview length is 1.5 minutes and has never exceeded 2.5 minutes in a phone administration. The interview schedule is designed to be included in an ongoing omnibus or general-purpose marketing survey. There is a GEMNationalTeam of researchers in each of the countries. The entire survey effort is run by the GEM Coordination Team in London, England, responsible for all final decisions on design, receive data and other work products, and supervise payments.

  4. GEM 2006 Adult Population Survey • Review the tenders in terms of survey methodology esp re national phone coverage to decide on issues such as Phone or Face to face. • national teams then decide on Survey firm & any extra variables and whether they can accommodate the cost of these.

  5. GEM 2006 Adult Population Survey • At some stage the final questionnaire is developed and passed on to all concerned • The data map and the question by question commentary is developed and passed on to the survey firm

  6. GEM 2006 Adult Population Survey • Teams deal with survey firms’ questions about the questionnaire and the skip pattern. • Develop the syntax for transforming ASCII data document into SPSS document.

  7. QUESTION BY QUESTION COMMENTARYThe following section is to be administered to all adult respondents, the first eight (8) items are yes/no, the last two have three response options. ============================================================================= 1a. You are, alone or with others, currently trying to start a new business, including any type of self-employment Yes No=============================================================================This item covers ANY AND ALL activity that could be considered any form of economic work, registered or unregistered, legal or illegal. So child care in the home, part time work as a carpenter, free-lance lawyer on the weekends, or any other activity would qualify. Encourage a YES in all situations when unclear.=============================================================================1b. You are, alone or with others, trying to start a new business or a new venture with your employer-- an effort that is part of your normal work Yes No =============================================================================This item covers any activity on the job where a NEW BUSINESS VENTURE may result, either stand alone or a branch or subsidiary. The response should be NO if the respondent is working on a new variation of a standard product—such as a new dress design or a new type of furniture or a new menu for an established restaurant.

  8. GEM 2006 Adult Population Survey • National teams need to evaluate the survey firm’s translation of the questionnaire and suggest any alterations – this often needs to be done at very short notice. Also check the accuracy of the skip pattern. • When the data arrives transform it into SPSS, and check descriptives for inconsistencies • Contact survey firms with questions about any of these

  9. DATA LIST FILE = 'C:\UK0202.dat' RECORDS = 1 /COUNTRY 001-003CTRYALP 004-005 (A)ID 010-019WEIGHTA 020-021WEIGHTB 022-029GENDER 030-030AGE 031-032AGE7C 033-033AGE7BAND 034-034UKRWSTAT 035-035UKRESTA1 036-036UKRESTA2 037-037UKRESTA3 038-038UKRETH 039-040UKRBIRTH 041-041UKRWSPEK 042-042UKREDUC 043-043UKHHINC 044-045BSTART 201-201BJOBST 202-202OWNMGE 203-203BUSANG 204-204FUTSUP 205-205DISCENT 206-206KNOWENT 207-207OPPORT 208-208SUSKILL 209-209FEARFAIL 210-210

  10. RECODE AGE(LOWEST THRU 17= 1017) (18 thru 24=1824) (25 thru 34=2534) (35 thru 44=3544) (45 thru 54=4554) (55 thru 64=5564) (65 thru HIGHEST =6599) (99 = 9) INTO age7c .EXECUTE .*.*missing values age 7c (9).RECODE COUNTRY(54 ='AR') (61='AU') (32='BE') (55='BR') (101='CA') (56='CL') (86='CN') (886 = 'TW') (385='HR') (45 = 'DK') (358 = 'FI') (33='FR') (49 = 'DE') (852 = 'HK') (36='HU') (354 ='IS') (91 = 'IN') (353 'IR') (972 = 'IL') (39 = 'IT') (81 = 'JP') (82 = 'KR') (52 = 'MX') (31 = 'NL') (64 = 'NZ') (47 = 'NO') (48 = 'PL') (351 = 'PT') (7 = 'RU') (4401 = 'SC') (65 = 'SG') (386 = 'SL') (27 = 'ZA') (34 = 'ES') (46 = 'SE') (41 = 'SW') (66 = 'TH') (44 = 'UK') (1 = 'US') (4402 = 'WA')INTO CTRYALP. EXECUTE .*.COMPUTE BAFUNDCT = COUNTRY.*.*THIS COMBINES THE WHOLE NUMBER AND FRACTION TO CREATE A SINGLE NUMBER COMPUTE WEIGHT = (WEIGHTA)+(WEIGHTB/100000000).*The following function THE SUM OF WEIGHT BY N TO ADJUST THE WEIGHT SO IT SUMS TO 4000.COMPUTE WEIGHT = WEIGHT*(4000/4656.99).

  11. *COMPUTE BAFUNDCT= 01.COMPUTE YRSURV = 2002.COMPUTE MOSURV = 5.*COMPUTE DASURV = 18.*COMPUTE MFWAVEID= ((MFWAVE*100000)+(MFID)). COMPUTE SETID = (COUNTRY*1000000000)+(ID-2000000000) + 2000000.*compute country alphanumeric: place country internet code*COMPUTE CTRYALP = '*...*A'.*compute bafundx: place country number*COMPUTE BAFUNDX = *..*.*THIS CREATES LABELS FOR THE INDIVIDUAL VARIABLES.VARIABLE LABELS COUNTRY 'COUNTRY OF ORIGIN'/ CTRYALP 'COUNTRY INTRENET ALPHANUMERIC'/ SETID 'DATA SET ID: COUNTRY + R ID'/ YRSURV 'YEAR OF SURVEY'/ MOSURV 'MONTH OF SURVEY'/ ID 'ID NUMBER:MAY 2002 SAMPLE'/ GENDER 'R GENDER'/ AGE 'AGE: EXACT AGE AT TIME OF INTERVIEW'/ AGE7C 'R AGE IN SEVEN CATEGORIES'/UKRWSTAT 'UK R: WORKING STATUS'/UKRESTA1 'UK R: EMPLOYMENT STATUS 1'/UKRESTA2 'UK R: EMPLOYMENT STATUS 2'/UKRESTA3 'UK R: EMPLOYMENT STATUS 3'/UKRETH'UK R: ETHNICITY'/UKRBIRTH 'UK R: PLACE OF BIRTH'/UKRWSPEK 'UK R: WELSH SPEAK'/UKREDUC 'UK R: EDUCATIONAL ATTAINMENT'/UKHHINC 'UK HH: ANNUAL INCOME'/

  12. VALUE LABELS*CODE TO CREATE VALUE LABLES FOR THE NUMERIC VALUES FOR EACH VARIABLE.VALUE LABELS UKRWSTAT1"Working 30 hours or more a week (Full-time)" 2"Working 8 - 29 hours a week (Part-time)" 3"Not working (under 8 hrs) - housewife" 4"Not working (under 8 hrs) - unemployed" 5" Not working (under 8 hrs) - retired" 6"Not working (under 8 hrs) - student" 7"Not working (under 8 hrs) - other (inc. disabled)" 8"DK" 9"REF"/.VALUE LABELSUKRETH1"White British" 2"White Irish" 3"White Other" 4"White and Black Caribbean" 5"White and Black African" 6" White and Asian" 7"Mixed Other" 8"Indian" 9"Pakistani" 10"Bangladeshi" 11"Asian Other" 12"Caribbean" 13"African" 14"Black Other" 15"Chinese" 16"Other“99"REF"/.

  13. title'GEM WEIGHT CREATION BY AGE AND GENDER'.*.COMPUTE CELLFR_E =0.*.variable labelsCELLFR_E 'CELL FREQUENCY EXPECTED'.*.MISSING VALUES CELLFR_E ( 0).*THESE VALUES NOW UK. IF ( AGE7C = 1017 AND GENDER = 1) CELLFR_E=11.53001. IF ( AGE7C = 1017 AND GENDER = 2) CELLFR_E=10.94223. IF ( AGE7C = 1824 AND GENDER = 1) CELLFR_E=4.416796. IF ( AGE7C = 1824 AND GENDER = 2) CELLFR_E=4.198407. IF ( AGE7C =2534 AND GENDER = 1) CELLFR_E =7.004762. IF ( AGE7C = 2534 AND GENDER = 2) CELLFR_E =6.672831. IF ( AGE7C =3544 AND GENDER = 1) CELLFR_E =7.882206. IF ( AGE7C = 3544 AND GENDER = 2) CELLFR_E =7.656516. IF ( AGE7C = 4554 AND GENDER = 1) CELLFR_E=6.492099. IF ( AGE7C = 4554 AND GENDER = 2) CELLFR_E=6.495362. IF ( AGE7C = 5564 AND GENDER = 1) CELLFR_E=5.392829. IF ( AGE7C = 5564 AND GENDER = 2) CELLFR_E=5.562383. IF ( AGE7C = 6599 AND GENDER = 1) CELLFR_E=6.575899. IF ( AGE7C = 6599 AND GENDER = 2) CELLFR_E=9.177678. *.COMPUTE CELLFR_0 =0.*.

  14. *These values from 2002 UK data.IF ( AGE7C = 1017 AND GENDER = 1) CELLFR_O=1.46337029631. IF ( AGE7C = 1017 AND GENDER = 2) CELLFR_O=1.108889292856. IF ( AGE7C = 1824 AND GENDER = 1) CELLFR_0=3.735684421014.IF ( AGE7C = 1824 AND GENDER = 2) CELLFR_0=4.699145609889. IF ( AGE7C =2534 AND GENDER = 1) CELLFR_0=8.053081257953. IF ( AGE7C = 2534 AND GENDER = 2) CELLFR_0 =10.10725322669.IF ( AGE7C =3544 AND GENDER = 1) CELLFR_0=9.334666424286. IF ( AGE7C = 3544 AND GENDER = 2) CELLFR_0=11.69787311398. IF ( AGE7C = 4554 AND GENDER = 1) CELLFR_0=7.089620069078. IF ( AGE7C = 4554 AND GENDER = 2) CELLFR_0=9.716415197237. IF ( AGE7C = 5564 AND GENDER = 1) CELLFR_0=6.607889474641. IF ( AGE7C = 5564 AND GENDER = 2) CELLFR_0=9.061988729322. IF ( AGE7C = 6599 AND GENDER = 1) CELLFR_O=6.935102708598. IF ( AGE7C = 6599 AND GENDER = 2) CELLFR_O=10.38902017815. *.*.COMPUTE CELLFR_D =CELLFR_E-CELLFR_0.*.COMPUTE CELLFR_D = ABS(CELLFR_D) .EXECUTE .*.variable labelsCELLFR_D 'FINAL GEM difference between E & O cell frequencies'.

  15. COMPUTE CELLFR_D =CELLFR_E-CELLFR_0.*.COMPUTE CELLFR_D = ABS(CELLFR_D) .EXECUTE .*.variable labelsCELLFR_D 'FINAL GEM difference between E & O cell frequencies'.*.COMPUTE WEIGHT_F = CELLFR_E/CELLFR_0.EXECUTE .variable labelsWEIGHT_F 'FINAL GEM WEIGHT'.*THE FOLLOWING CALCULATION REQUIRED TO ADJUST WEIGHTS.COMPUTE WEIGHT_F = WEIGHT_F*(2000/1301.09).*.ADD FILES /FILE=* /FILE='C:\A Steve\GEM 2002\GEM APS processed data 2002\UK0202.sav' /RENAME (country_ = d0) /DROP= d0.EXECUTE.

  16. GEM 2006 Adult Population Survey • Code the businesses identified by respondents according to the UN International Standard Industrial Classification of all Economic Activities • Code Start Up reasons: Opportunity / No alternative. • Distribute relevant items (data sets/ syntax) to the national teams via website.

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