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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          TZA_2014_FDSH_v01_EN_M_v01_A_OCS
        </titl>
        <IDNo>
          DDI_TZA_2014_FDSH_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 Data Group
        </producer>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
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      <verStmt>
        <version>
          TZA_2014_FDSH_v01_EN_M_v01_A_OCS_v01
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          CGAP Financial Diaries with Smallholder Households 2014-2015
        </titl>
        <altTitl>
          FDSH 2014-2015
        </altTitl>
        <IDNo>
          TZA_2014_FDSH_v01_EN_M_v01_A_OCS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="World Bank Group">
          Jamie Anderson
        </AuthEnty>
        <AuthEnty affiliation="Bankable Frontier Associates">
          Wajiha Ahmed
        </AuthEnty>
        <AuthEnty affiliation="Bankable Frontier Associates">
          Daryl Collins
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact affiliation="World Bank Group" email="anunan@worldbank.org">
          Anna Nunan
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Other Household Survey [hh/oth]
        </serName>
        <serInfo>
          The study was conducted in 3 countries: Mozambique, Tanzania, and Pakistan.
        </serInfo>
      </serStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="FAO">
          Financial Sector
        </topcClas>
        <topcClas vocab="FAO">
          Access to Finance
        </topcClas>
        <topcClas vocab="FAO">
          Payment Systems
        </topcClas>
        <topcClas vocab="FAO">
          Agriculture &amp; Rural Development
        </topcClas>
        <topcClas vocab="FAO">
          Food (production, crisis)
        </topcClas>
        <topcClas vocab="FAO">
          Labor Markets
        </topcClas>
      </subject>
      <abstract>
        In order to elucidate the financial lives of smallholder households and build the evidence base on this important client group, Consultative Group to Assist the Poor (CGAP) of the World Bank launched the year-long Financial Diaries with Smallholder Families (the “Smallholder Diaries”). The study captured the financial and in-kind transactions of 270 households in Tanzania, Pakistan and Mozambique, of which 86 households are in the fertile farmlands of western Tanzania. The sample was drawn from 2 villages in Tanzania. Villages were selected based on their involvement in agriculture, and convenience in reaching them. Between June 2014 and July 2015, enumerators visited sample families every fortnight to conduct comprehensive face-to-face interviews to track all the money flowing into and out of their households.
      </abstract>
      <sumDscr>
        <collDate date="2014-06" event="start"/>
        <collDate date="2015-06" event="end"/>
        <nation abbr="TZA">
          United Republic of Tanzania
        </nation>
        <geogCover>
          Village level
        </geogCover>
        <anlyUnit>
          Households
        </anlyUnit>
        <universe>
          Once the villages for the Smallholder Diaries were selected, the research teams used a screening process to help identify a range of families with 5 acres of land or less, diverse income sources, access to agricultural inputs, wealth levels, and crops to participate in the research. In Tanzania, these eligible households were identified using a participatory rural appraisal wealth-ranking technique. Working with committees of village representatives, the research teams conducted wealth-ranking exercises to assess the relative wealth of households in village hamlets or subareas.
        </universe>
        <dataKind>
          Event/transaction data [evn]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[DEMOGRAPHICS FILE: 
- Gender
- Age
- Marital status
- School enrolment
- Highest level of education
- Native language
- Whether they can read/ write

CASH FLOWS FILE: 
- Acquisition/ loss/sale of physical assets
- Crop tracker (weddings, births, etc.) 
- Crop tracker ( harvests,  sale, consumption, and loss of each crop)
- Financial inflows and outflows
- Equalisation modules: 
· Risk
· Aspirations
· Agriculture
· Financial tools
· Labour decisions]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          The methodology and sample size of the Smallholder Diaries was designed to generate a rich pool of detailed information and insights on a targeted population. The Smallholder Diaries are not intended to be statistically representative of smallholder families in participating countries. Total number of households in sample from Tanzania were 86, which were drawn from 2 villages. Villages were selected based on their involvement in agriculture, and convenience in reaching them. The research teams used a screening process to help identify a range of families with 5 acres of land or less, diverse income sources, access to agricultural inputs, wealth levels, and crops to participate in the research. In Tanzania, these eligible households were identified using a participatory rural appraisal wealth-ranking technique. Working with committees of village representatives, the research teams conducted wealth-ranking exercises to assess the relative wealth of households in village hamlets or subareas.
        </sampProc>
        <collMode>
          Computer Assisted Personal Interview [capi]
        </collMode>
        <sources/>
        <cleanOps>
          All data editing was done manually. The data was collected through face to face interviews, using a computer tablet preloaded with the data collection software and all previously recorded data. The tablets were synchronized each day so that all collected data was uploaded to the server and the tablet would receive the latest version of the database.
        </cleanOps>
      </dataColl>
      <anlyInfo>
        <respRate>
          95 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 using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download

Example:
 
World Bank. Tanzania CGAP Financial Diaries with Smallholder Households 2014-2015. Ref. TZA_2014_FDSH_v01_M. Dataset downloaded from [URL] on [date].]]>
        </citReq>
        <conditions>
          Direct access.
        </conditions>
        <disclaimer>
          Rights and Permissions This work is available under the Creative Commons Attribution 3.0 Unported license (CC BY 3.0) http://creativecommons .org/licenses/by/3.0. Attribution-Cite the work as follows: Anderson, Jamie, and Wajiha Ahmed. 2016. &amp;quot;Smallholder Financial Diaries Datasets.&amp;quot; Washington, D.C.: CGAP. License: Creative Commons Attribution CC BY 3.0 All queries on rights and licenses should be addressed to CGAP Publications, 1818 H Street, NW, MSN IS7-700, Washington, DC 20433 USA; e-mail: cgap@world bank.org.
        </disclaimer>
      </useStmt>
    </dataAccs>
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  <dataDscr/>
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