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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          TZA_2004_KHDS_v01_EN_M_v01_A_OCS
        </titl>
        <IDNo>
          DDI_TZA_2004_KHDS_v01_EN_M_v01_A_OCS_FAO
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="OCS" affiliation="Food and Agriculture Organization" role="Adoption of metadata for FAM">
          Office of Chief Statistician
        </producer>
        <producer abbr="DECDG" affiliation="The World Bank" role="Documentation of the DDI">
          Development Economics Data Group
        </producer>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
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      <verStmt>
        <version>
          TZA_2004_KHDS_v01_EN_M_v01_A_OCS_v01
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Kagera Health and Development Survey 2004
        </titl>
        <altTitl>
          KHDS 2004
        </altTitl>
        <IDNo>
          TZA_2004_KHDS_v01_EN_M_v01_A_OCS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Economic Development Initiatives
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
        <fundAg abbr="DANIDA">
          Danish Agency for Development Assistance
        </fundAg>
        <fundAg>
          Knowledge for Change Trust Fund at the World Bank
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="The World Bank" URI="surveys.worldbank.org/lsms" email="lsms@worldbank.org">
          LSMS Data Manager
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Living Standards Measurement Study [hh/lsms]
        </serName>
        <serInfo>
          The Kagera Health and Development Survey 2004 (KHDS 2004) took place in 2004 as the fifth survey wave. Earlier waves of the survey include the four waves from 1991 till 1994.
        </serInfo>
      </serStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="FAO">
          Health
        </topcClas>
        <topcClas vocab="FAO">
          Agriculture &amp; Rural Development
        </topcClas>
        <topcClas vocab="FAO">
          Food (production, crisis)
        </topcClas>
        <topcClas vocab="FAO">
          Migration &amp; Remittances
        </topcClas>
        <topcClas vocab="FAO">
          Livestock
        </topcClas>
        <topcClas vocab="FAO">
          Population &amp; Reproductive Health
        </topcClas>
        <topcClas vocab="FAO">
          Nutrition
        </topcClas>
        <topcClas vocab="FAO">
          Prices statistics
        </topcClas>
        <topcClas vocab="FAO">
          Financial Sector
        </topcClas>
        <topcClas vocab="FAO">
          Access to Finance
        </topcClas>
      </subject>
      <abstract>
        The Kagera Health and Development Survey was conducted to estimate the economic impact of the death of prime-age adults on surviving household members. This impact was primarily measured as the difference in well-being between households with and without the death of a prime-age adult (15-50), over time. An additional hypothesis was that households in communities with high mortality rates might be less successful in coping with a prime-age adult death. Thus, the research design called for collecting extensive socioeconomic information from households with and without adult deaths in communities with high and low adult mortality rates. Data collected by the KHDS can be used to estimate the "direct costs” of illness and mortality in terms of out-of-pocket expenditures, the "indirect costs" in terms of foregone earnings of the patient, and the "coping costs” in terms of changes in the well-being of other household members and in the allocation on of time and resources within the household as these events unfold. The KHDS was an economic survey. It did not attempt to measure knowledge, attitudes, behaviours or practices related to HIV infection or AIDS in households or communities. It also did not collect blood samples or attempt to measure HIV seroprevalence; this would have substantially affected the costs and complexity of the research and possibly the willingness of households to participate. Information on the cause of death in the KHDS household survey is based on the reports of surviving household members; the researchers maintained that household coping will respond to the perceived cause of death, irrespective of whether the deceased actually died of AIDS. Lastly, the KHDS did not attempt to measure the psycho-social impact of HIV infection or AIDS deaths.
      </abstract>
      <sumDscr>
        <collDate date="2004-01" event="start"/>
        <collDate date="2004-08" event="end"/>
        <nation abbr="TZA">
          United Republic of Tanzania
        </nation>
        <geogCover>
          Regional
        </geogCover>
        <anlyUnit>
          Households
        </anlyUnit>
        <universe>
          The KHDS attempts to re-interview all respondents interviewed in the original KHDS 1991-1994, irrespective of whether the respondent had moved out of the original village, region or country or was residing in a new household.
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[(a) HOUSEHOLD QUESTIONNAIRE

Section 0 Basic Survey information 
Section 1 Household Roster 
Section 2 Previous Children Residing Elsewhere 
Section 3 Main Activities of the Household 
Section 4 Information on Parents 
Section 5 Education
Section 6 Health 
Section 7 Activities and Non-Labour Income 
Section 8 Individual Expenditures 
Section 9 Migration 
Section 10 Shocks Experienced in the Past 10 Years 
Section 11 Farming 
Section 11 Agriculture 
Section 12 Livestock 
Section 13 Non-Farm Self-Employment 
Section 14 Housing 
Section 15 Durable Goods, Expenditures, Inheritance, and Bride Price
Section 16 Food Consumption and Expenditures 
Section 17 Informal Organizations, Ability to Cope, Assistance from Organizations
Section 18 Gifts and Loans Received/Sent 
Separate Form Anthropometry 
Separate Form Mortality of Previous Household Members 

(b) COMMUNITY QUESTIONNAIRE

GPS coordinates
Section 0 Selecting respondents 
Section 1 Demographic information 
Section 2 Economy and Infrastructure 
Section 3 Education 
Section 4 Health 
Section 5 Agriculture 
Section 6 Culture 
Section 7 Shocks in the past 10 years 

(c) PRICE QUESTIONNAIRE

GPS coordinates
Part I Food Prices 
Part II Pharmaceutical Prices 
Part III Non-Food Prices 

(d) SCHOOL QUESTIONNAIRE

Part A School characteristics, enrolment and fees 
Part B Textbooks, Standard 7 completion, number of teachers employed and assistance or contributions]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          <![CDATA[Sample size of this study was 900 households following the KHDS 91-94 Household Sampling procedure:

(a) SAMPLE DESIGN AND SELECTION 

Qualitative studies of small samples of households can point to hypotheses about the ways in which fatal adult illness affects households. However, policymakers need to know which households are suffering the most, the size of the impact, the extent to which they suffer more than other households in a poor country, and the potential costs and effects of assistance programs. For this purpose, the sample of households must be representative of the population, a random sample for which the probability of selecting each household from the whole population is known. The KHDS used a random sample that was stratified geographically and according to several measures of adult mortality risk. This strategy allowed the team to ensure an adequate number of households with an adult death in the sample while retaining the ability to extrapolate the results to the entire population. The results from the household survey show that stratification of the sample on mortality risk at both the community and household level proved to be worthwhile. Among the 816 households in the original sample that began the survey in the first passage, 91 had an adult death in the course of the survey-more than three times the expected number (25) had the households been drawn at random with no stratification. The 816 households that began the survey in the first passage were observed, on average, for 1.6 years, generating a total of 1,322.7 years of observation. The average probability of an adult death per household per year, according to the 1988 Tanzania Census, is 0.0188. Thus, the expected number of deaths from a random sample of 816 households observed for 1.6 years is 25. Because households were added to the sample to compensate for attrition, a total of 918 households were eventually interviewed at least once. Between the first and last interview, 102 of these households had an adult death, compared to 27 households that would have been expected to have a death from a non-stratified sample. 

(b) SAMPLING PROCEDURE 

The KHDS household sample was drawn in two stages, with stratification based on geography in the first stage and mortality risk in both stages. It used a two-stage stratified random sampling procedure.]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <sources/>
      </dataColl>
      <anlyInfo>
        <respRate>
          96 percent
        </respRate>
      </anlyInfo>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO
        </confDec>
        <citReq>
          <![CDATA[Use of the dataset must be acknowledged by including a citation which would include: 
- Identification of the Primary Investigator 
- Title of the survey (including the country name and year of implementation)
- Survey reference number
- Source and date of download 

Example: 
Kagera Health and Development Survey 2004. Ref. TZA_2004_KHDS_v01_M. The World Bank.]]>
        </citReq>
        <conditions>
          <![CDATA[In receiving these data it is recognized that the data are supplied for use within my organization, and I agree to the following stipulations as conditions for the use of the data:

1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly.

2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to:
   
The World Bank
Development Economics Research Group
LSMS Database Administrator
MSN MC3-306
1818 H Street, NW
Washington, DC 20433, USA

tel: (202) 473-9041
fax: (202) 522-1153
e-mail: lsms@worldbank.org

3. The researcher will refer to the 2004 Kagera, Tanzania Health and Development Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the World Bank is not responsable for the estimations reported by the analyst(s).

4. Users who download the data may not pass the data to third parties.

5. The database cannot be used for commercial ends, nor can it be sold.]]>
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
        </disclaimer>
      </useStmt>
    </dataAccs>
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  <dataDscr/>
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