Measuring the impact of microfinance in Hyderabad, India Abdul Latif Jameel Poverty Action Lab and Centre for Microfinance Hyderabad, India Stata, Excel Institute for Financial Management and Research, ICICI Bank and anonymous donor MacArthur Data Consolidation Project Cynthia Kinnan 04/01/2008 05/05/2008 Baseline Survey (Impact Of Microfinance In Urban India) Bibliographic Citation spandana, microcredit, hyderabad This database provides information on 2,800 households living in slums in Hyderabad, Andhra Pradesh (India’s fifth largest city) in 2005. Information was collected on household composition, education, employment, asset ownership, decision-making, expenditure, borrowing, saving, and any businesses currently operated by the household or stopped within the last year. 2005 2005 India Hyderabad, Andhra Pradesh, India Poor neighborhoods in Hyderabad, Andhra Pradesh Individual (Section A), Household (Section B), Business (Section X) Households with a female member aged 18 to 55 in 120 slums in Hyderabad where the microlender was willing to start operating Survey Data Cross-section Hansa Research Group and authors 1-time survey at individual level. 102 slums were resurveyed in 2007-2008 120 slums were selected by Spandana, a large microfinance lender, as areas in which they were interested in opening branches. These slums were selected based on having residents who were desirable potential borrowers: poor, but not “the poorest of the poor.” Areas with high concentrations of construction workers were avoided because people who move frequently are not desirable microfinance clients. In each slum, households were randomly selected, conditional on having a woman between the ages of 18-55 in the household. In the first 100 slums 20 households were surveyed; in the final 20 slums, 40 households were surveyed, giving a total sample of 2,800 households. Information was collected on all members of the household, defined as anyone who had resided in the household for at least 30 days in the past year and contributed to and/or drawn on the household resources. Structured: Questionnaire Respondents were revisited 2 times, if they could not be located on the first visit. 20% of baseline surveys were back-checked by a separate survey team. Baseline surveyors were trained for 5 days on each wave of the baseline survey All baseline questionnaires were double-entered by the data entry company. For the second baseline wave quality checking was implemented on approximately 0.5% of questionnaires: questionnaires were independently entered by the authors\' research assistants and the results compared with the results from the data entry company. See document spandana_baseline_b2.0.dta Data on household assets - household characteristics, income and expenditures 8 .dta Stata spandana_baseline_b2.2.dta Data on businesses - items household plans to purchase, and amt 4 dta Stata spandana_baseline_b9.0.dta Data on consumption - item and quantities consumed - last month for 1-15, last year for 16-18 3 dta Stata spandana_baseline_b9.1.dta Data on consumption hh wants to reduce 2 dta Stata spandana_baseline_b10.2.dta Data on purpose of loans 6 dta Stata spandana_baseline_b12.dta DATA ON BANK OR SAVINGS ACCOUNTS (INCLUDING POST OFFICE AND INFORMAL SAVINGS ACCOUNT SUCH AS CHIT FUNDS, ETC) 37 dta Stata spandana_baseline_b13.1 insurance.dta DATA ON INSURANCE 4 dta Stata spandana_baseline_loan_new.dta 28 dta Stata spandana_baseline_b_new 188 dta Stata __spandana_baseline_hhloan.dta QUESTIONS B10.1 TO B10.2 - loan amounts, purposes 7 dta Stata __spandana_baseline_hhmember.dta CONTAINS QNS FROM SECTION A (1.1-1.34) 4 dta Stata spandana_baseline_a_new.dta 47 dta Stata loan_flags.dta 6 dta Stata biz_flags.dta 4 dta Stata missingzeroflags.dta 8 dta Stata businessownerflags.dta 3 dta Stata householdflags.dta 5 dta Stata FINAL_Baseline_Qnr_part1.pdf Spandana Data Notes.doc Spandana Data Cleaning summary.doc