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    Home / Data Portal / ACEIR / GHA-ISSER-GSEPS-2013-2014-V1 / variable [F70]
ACEIR

Ghana Socioeconomic Panel Survey 2013-2014, Wave 2

Ghana, 2010 - 2013
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Reference ID
gha-isser-gseps-2013-2014-v1
Producer(s)
Institute of Statistical, Social and Economic Research,
Collections
African Centre of Excellence for Inequality Research
Metadata
DDI/XML JSON
Created on
Nov 15, 2021
Last modified
Aug 15, 2022
Page views
188362
Downloads
593
  • Study Description
  • Data Description
  • Downloads
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  • Related Publications
  • Data files
  • 01a_consent
  • 01b2_preroster
  • 01b2_roster
  • 01d_background
  • 01e_employment
  • 01ea_employmentscreener
  • 01ei_employmentmain
  • 01eii_employmentsecondary
  • 01eiii_unemployed
  • 01fi_generaleducation
  • 01fii_edcareer
  • 01fiii_literacy
  • 01gi_immigration
  • 01gii_migrationhistory
  • 02a_nr_relatives
  • 02a_nr_relatives_questions
  • 02a_oldrelativelist
  • 02b_nr_spouses
  • 02b_nr_spouses_questions
  • 02b_oldspouselist
  • 03ai_animalquestions
  • 03aii_toolquestions
  • 03aiii_durablegoodquestions
  • 03bi_borrowingquestions
  • 03bii_lendingquestions
  • 03biii_outtransfersquestions
  • 03biv_intransfersquestions
  • 03bv_savingquestions
  • 04h_agsection
  • 04h_preroster
  • 04i_landtenure
  • 04j_tracploughuse
  • 04k_seedquestions
  • 04l_chemquestions
  • 04l_inputs
  • 04m_aglabour
  • 04m_aglabourquestions
  • 04n_harvest
  • 04n_harvestquestions
  • 04nn_gatheringquestions
  • 04o_cropsalesstoresquestions
  • 04o_cropsalesstoresservices
  • 05_preroster
  • 05ai_basicinfo
  • 05aii_assetquestions
  • 05bi_allemployees
  • 05bii_fourimportant
  • 05bii_fourimportantquestions
  • 06a_insurance
  • 06b_anthropometry
  • 06c_immunization
  • 06d_dailyliving
  • 06e_miscellaneous
  • 06f_past2weeks
  • 06g_past12months
  • 07_womenshealth
  • 07a_fertility
  • 07b_power
  • 08a_reprohealth
  • 08b_power
  • 09_childrens
  • 09a_youngchildhealth
  • 09b_digitspantest
  • 09c_ravenspattern
  • 09d_math
  • 09e_english
  • 10_determine_respondents
  • 10ai_depression
  • 10aii_subjectivesocialwelfare
  • 10aiii_regrets
  • 10aiv_townsend
  • 10av_trust
  • 10avi_careforkids
  • 10avi_timeuseloop
  • 10bii_riskpreferences
  • 10c_socialnetworkingquestions
  • 10di_binteractionsquestions
  • 10dii_mediaextensionsquestions
  • 10diii_volunteer_questions
  • 11a_foodcomsumption_prod_purch
  • 11b_clothingquestions
  • 11c_otheritems
  • 11d_fuelconsumptionquestions
  • 12a_housingcharacteristics1i_rent
  • 12a_housingcharacteristics1ii_utilities
  • 12a_housingcharacteristics1iii_structure
  • 12a_measure
  • 12a_measurements
  • 12b_housingcharacteristics2
  • cocoa
  • temp

regretteditem (regretteditem)

Data file: 10aiii_regrets

Overview

Valid: 960
Invalid: 0
Type: Discrete
Width: 38
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
0 13
1.4%
00 3
0.3%
1 6
0.6%
3 COWS 1
0.1%
A BAG OF LOCAL RICE 1
0.1%
A BAG OF MAIZE 2
0.2%
A DRESS 1
0.1%
A PAIR OF SHOES 1
0.1%
A PLATE OF RICE 1
0.1%
A SHIRT 1
0.1%
A TV SPARE PART 1
0.1%
A VIDEO DISK 1
0.1%
AGRICULTURAL CHEMICAL 1
0.1%
AGRO CHEMICALS 1
0.1%
ALCOHOL 2
0.2%
ALVARO CANED 1
0.1%
AMPLIFIER 1
0.1%
AN EXPENSIVE SHIRT 1
0.1%
ANIMAL 1
0.1%
ANIMAL DRUGS 1
0.1%
ANIMALS 1
0.1%
ANOINTING OIL 1
0.1%
APSORBER 1
0.1%
ATIRE 1
0.1%
B0X OF DRY CELL 1
0.1%
BABY CLOTHING 1
0.1%
BABY DIBBERS 1
0.1%
BABY GRIB WATER 1
0.1%
BABY"S NET 1
0.1%
BAG 7
0.7%
BAG OF RICE 1
0.1%
BAGS 1
0.1%
BALL PEN 1
0.1%
BARREL 1
0.1%
BASIN 1
0.1%
BASKET 1
0.1%
BATHROOMM SLIPPERS 1
0.1%
BEANS 1
0.1%
BEARING FOR MY MACHINE (BUSINESS) 1
0.1%
BEDSHHET 1
0.1%
BICYCLE 6
0.6%
BICYCLE BRAKE 1
0.1%
BICYCLE TUBE 1
0.1%
BICYCLE TYE 1
0.1%
BILE(BED SHEETS) 1
0.1%
BIRTH CERTIFACATE 1
0.1%
BIRTHDAY CARD 1
0.1%
BISCUIT 1
0.1%
BLENDER 1
0.1%
BLUETOOTH DEVICE 1
0.1%
BOARDIG A TAXI 1
0.1%
BODY CREAM 5
0.5%
BODY SPRAY 1
0.1%
BOOK 3
0.3%
BOOT 1
0.1%
BOUGHT A DRESS 1
0.1%
BOUGHT FISH 1
0.1%
BOUGHT MEAT 1
0.1%
BOUGHT YAM 1
0.1%
BOWL 2
0.2%
BREAD 2
0.2%
CALCULATOR 1
0.1%
CANNED COKE 1
0.1%
CANOE 1
0.1%
CAR 2
0.2%
CAR BATTERY 1
0.1%
CAR TAPE 1
0.1%
CAR TIRE 1
0.1%
CASSAVA 4
0.4%
CAUSTIC SODA 1
0.1%
CD 2
0.2%
CELL PHONE 4
0.4%
CEMENT 1
0.1%
CHAIN 2
0.2%
CHARCOL 1
0.1%
CHEMICAL DRUGS 1
0.1%
CHEW GUM 1
0.1%
CHILDREN'S CLOTHES 1
0.1%
CHIPS 1
0.1%
CLOTH 75
7.8%
CLOTH FOR A GIRLFRIEND 1
0.1%
CLOTH MATERIAL 1
0.1%
CLOTH(KENTE) 1
0.1%
CLOTHE 2
0.2%
CLOTHEN 1
0.1%
CLOTHES 9
0.9%
CLOTHING 16
1.7%
CLOTHINGS 3
0.3%
CLOTHS 1
0.1%
CLOTHS FOR CHILD 1
0.1%
COMPUTER 3
0.3%
COMPUTER ASSESORY 1
0.1%
CONFIDOL 1
0.1%
CONSUMABLE GOODS 1
0.1%
COOKED RICE 1
0.1%
COOKING PAN 1
0.1%
COOKING POT 1
0.1%
COOKING UTENSILS 1
0.1%
COW 1
0.1%
COWBELL COFFEE 1
0.1%
CRATES OF EGGS 1
0.1%
CREDIT 1
0.1%
CREDIT CARD 1
0.1%
CUMB 1
0.1%
CUNSUMABLE GOODS 1
0.1%
CUTLASS 2
0.2%
DECODA 1
0.1%
DIAPER 1
0.1%
DRESS 39
4.1%
DRESSES 3
0.3%
DRINK 1
0.1%
DRINKS 1
0.1%
DRUGS 1
0.1%
DSTV DECODER 1
0.1%
DVD PLAYER 2
0.2%
EAR RINGS 1
0.1%
EARPHONES 1
0.1%
EGGS 2
0.2%
ELECTRONIC GADGET 1
0.1%
ELECTRONIC MIXER 1
0.1%
FAN 2
0.2%
FEEDING BOTTLE 1
0.1%
FERTILIZER 1
0.1%
FERTILIZER SACKS 1
0.1%
FERTILZER 1
0.1%
FISH 14
1.5%
FISH FOR SALE 1
0.1%
FISHING NET 1
0.1%
FLASH DRIVE 1
0.1%
FLAT SCREEN 1
0.1%
FLOOR 1
0.1%
FOOD 8
0.8%
FOOD (GROUNDNUT SOUP) 1
0.1%
FOOD (WAAKYE) 1
0.1%
FOOD FLASK 1
0.1%
FOOD STAFF 1
0.1%
FOOD(COOKED RICE) 1
0.1%
FOODSTUFFS 4
0.4%
FOOT WEAR 3
0.3%
FOOTBALL BOOTS 1
0.1%
FOOTWEAR 15
1.6%
FOOTWEARR 1
0.1%
FRIDGE 4
0.4%
FRIED YAM 1
0.1%
FUNERAL 1
0.1%
FUNERAL CLOTH FOR AUNT 1
0.1%
FUNREAL OF A BROTHER 1
0.1%
FURNITURE 1
0.1%
GABLEY 1
0.1%
GAME 3
0.3%
GARI 2
0.2%
GARMENT 1
0.1%
GAS 1
0.1%
GAS COOKER 2
0.2%
GAS STOVE 1
0.1%
GHETTO BLASTER 1
0.1%
GIFT 1
0.1%
GINGER FOR BUSINESS 1
0.1%
GLUSORY 1
0.1%
GOODS FOR BUSINESS 1
0.1%
GRAINS 1
0.1%
HAIR DRESSING 1
0.1%
HAND BAGS 1
0.1%
HARD DISCK 1
0.1%
HEAD GEAR 1
0.1%
HEADSET 1
0.1%
HEN 1
0.1%
HERBAL MEDICINE 1
0.1%
HOE 1
0.1%
HOE STICK 1
0.1%
I BOUGHT A NEW PAIR OF SHOES 1
0.1%
I BOUGHT A PHONE 1
0.1%
I BOUGHT A SLIPPERS 1
0.1%
ICE CREAM 1
0.1%
IRON 1
0.1%
IRON SHEET 1
0.1%
JEAN TRESURE 1
0.1%
JEAN TROUSER 1
0.1%
JEANS 3
0.3%
JEANS TROUSER 1
0.1%
JERSEY 1
0.1%
JUICE 1
0.1%
KAKI TROUSSERS 1
0.1%
KANWA 1
0.1%
KENTE 1
0.1%
KENTE CLOTH 1
0.1%
KEOSENE STOVE 1
0.1%
KONTOMIRE(COCOYAM LEAVES) 1
0.1%
LAPTOP 2
0.2%
LAPTOP COMPUTER 1
0.1%
LIGHT BULB 1
0.1%
LOAN 1
0.1%
LOCAL RICE 1
0.1%
LOTTERY 1
0.1%
LOTTORY 1
0.1%
MAIZE 5
0.5%
MATERIAL 11
1.1%
MATERIAL FOR CLOTH 1
0.1%
MATTRESS 1
0.1%
MEAT 6
0.6%
MEDICINE 9
0.9%
MEMORY CARD 1
0.1%
MEMORY READER 1
0.1%
MILK 1
0.1%
MILLING MACHINE 1
0.1%
MOBILE FONE 1
0.1%
MOBILE PHONE 14
1.5%
MOBILE PHONE BATTERY 1
0.1%
MOBILE PHONE HOUSING 1
0.1%
MOBILE PHONE SIM CARD 1
0.1%
MONEY RITUALS 1
0.1%
MOTOR 2
0.2%
MOTOR BIKE 2
0.2%
MOTOR CYCLE 1
0.1%
MOTOR TUBE 1
0.1%
MOTORBIKE SPARE PART 1
0.1%
MOTTO TUBE 1
0.1%
MOVIE CD 1
0.1%
MULTI TV 1
0.1%
N0NE 3
0.3%
NET 1
0.1%
NONE 152
15.8%
NONEE 1
0.1%
NONOE 1
0.1%
NOONE 1
0.1%
OIL 2
0.2%
ONION 1
0.1%
ONIONS 1
0.1%
ORANGE 1
0.1%
OVEN 1
0.1%
P.E. PANTS 1
0.1%
PALM FRUITS BOUGHT 1
0.1%
PALM NUTS FOR OIL PRODUCTION 1
0.1%
PALM OIL 1
0.1%
PALM TOP(COMPUTER) 1
0.1%
PAMPHLET 1
0.1%
PAN 1
0.1%
PARABOLIC SATELITE 1
0.1%
PASTARY 1
0.1%
PAYMENT FOR PLOUGHING FARMLAND 1
0.1%
PEAR 1
0.1%
PEN 3
0.3%
PENCIL 1
0.1%
PERFUME 1
0.1%
PERFUME(FROM A NATIVE DOCTOR) 1
0.1%
PETROL 1
0.1%
PHONE 34
3.5%
PHONE BATARY 1
0.1%
PHONE BATTERY 1
0.1%
PICTURE 1
0.1%
PLAIT HAIR 1
0.1%
PLATES 1
0.1%
POLYETHENE BAGS 1
0.1%
POMADE 1
0.1%
PROVISIONS 2
0.2%
PROVISTION 1
0.1%
PURCHASE OF FISH 1
0.1%
PURCHASE OF HAIR PRODUCTS FOR MY SALON 1
0.1%
PURCHASED A CLOTH 1
0.1%
PURCHASED CLOTH 1
0.1%
PURCHASED ITEMS TO RETAIL 1
0.1%
RADIO 5
0.5%
REGULATOR 1
0.1%
RENT 1
0.1%
REPAIR MY PHONE 1
0.1%
REPAIR OF WORKING TOOL 1
0.1%
RICE 12
1.3%
RICE COOKER 2
0.2%
SALAD CREAM 1
0.1%
SANDAL 1
0.1%
SANDALS 16
1.7%
SATELITE DECODER 1
0.1%
SAUCE PAN 1
0.1%
SAUCEPAN 1
0.1%
SCHOOL BAG 3
0.3%
SCHOOL SANDALS 1
0.1%
SCHOOL UNIFORM 1
0.1%
SECONDHAND CLOTHING 1
0.1%
SEWING A DRESS 1
0.1%
SEWING COST 1
0.1%
SHEEP 2
0.2%
SHIRT 23
2.4%
SHOE 31
3.2%
SHOE (SABAGO) 1
0.1%
SHOE FOR CHILD 1
0.1%
SHOES 7
0.7%
SHOES AND SHIRTS 1
0.1%
SHORTS 1
0.1%
SIM CARD 1
0.1%
SKIRT 3
0.3%
SLEPERS 3
0.3%
SLIPERS 2
0.2%
SLIPPER 1
0.1%
SLIPPERS 10
1%
SMOCK 1
0.1%
SMOKED FISH 1
0.1%
SOAP 3
0.3%
SOAPS 1
0.1%
SOCIAL STUDIES BOOK 1
0.1%
SOME FOOT WEARS BOUGHT 1
0.1%
SPANNER 2
0.2%
SPEAKER 1
0.1%
SPECTACLES 1
0.1%
SPIECES 1
0.1%
SPRAYING MACHINE 2
0.2%
STOKERS 1
0.1%
STRAIGHT DRESS 1
0.1%
SUGAR 1
0.1%
SUMSUNG TAB 1
0.1%
SUSPAN 1
0.1%
T SHIRT 1
0.1%
TABLE 1
0.1%
TABLE LAMP 1
0.1%
TAILORING SERVICE 1
0.1%
TAPE 1
0.1%
TAPE RECORDER 1
0.1%
TELEVISION 4
0.4%
TELEVISION SET 1
0.1%
TEXTBOOK 1
0.1%
TIN TOMATOES 2
0.2%
TINAPA 2
0.2%
TOBACCO 1
0.1%
TOMATOES 2
0.2%
TOOTHBRUSH 1
0.1%
TORCH 1
0.1%
TRACTOR TIRE 1
0.1%
TRASSER 1
0.1%
TRAVELLING BAG 1
0.1%
TRIP OF SAND 1
0.1%
TROUSER 6
0.6%
TROUSES, SANDAL 1
0.1%
TROUSOURS 1
0.1%
TROUSSERS 1
0.1%
TYRE 1
0.1%
UNDER WEAR 1
0.1%
UNDERWEAR 1
0.1%
UNIFORM 1
0.1%
UNIVERSAL CHARGER 1
0.1%
UTENSILS 1
0.1%
VCD PLAYER 1
0.1%
VEGETABLE STOCK FOR SALE 1
0.1%
VEGETABLES 1
0.1%
VEIL 2
0.2%
WAAKYE 1
0.1%
WARES FOR SALE 1
0.1%
WATCH 3
0.3%
WATER PUMP 1
0.1%
WATER TANK 1
0.1%
WEDICIDE -(CONDEM) 1
0.1%
WELDING MACHINE 1
0.1%
WENT TO COURT 1
0.1%
WHEAT FLOUR 1
0.1%
WIG 1
0.1%
WIGS 1
0.1%
WOOD 1
0.1%
WORK FOR SOMEONE 1
0.1%
YAM 3
0.3%
ZIIM 1
0.1%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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