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  <citation>
    <titlStmt>
      <IDNo>DDI_SLV_2008_MCC-RE_v01_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="MCC" affiliation="" role="Review of Metadata">Millennium Challenge Corporation</producer>
      <prodDate date="2014-09">2014-09</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 1 (2014-8-7)
Version 1.1 (2014-9-30) - Evaluator updated some field activities detail
Version 2.0 (May 2015). Edited version based on Version 01 (DDI-MCC-SLV-IE-ENERGY-2014-v1) that was done by Millennium Challenge Corporation.</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Rural Electrification 2008-2014</titl>
      <subTitl>Impact</subTitl>
      <altTitl>MCC-RE 2008-14</altTitl>
      <parTitl/>
      <IDNo>SLV_2008_MCC-RE_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">Social Impact</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2021-04-13">NADA</software>
      <fundAg abbr="MCC" role="">Millennium Challenge Corporation</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="Millennium Challenge Corporation" URI="" email="impact-eval@mcc.gov">Monitoring &amp; Evaluation Division</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Independent Impact Evaluation</serName>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">El Salvador</keyword>
      <keyword vocab="" vocabURI="">impact evaluation</keyword>
      <keyword vocab="" vocabURI="">propensity score matching</keyword>
      <keyword vocab="" vocabURI="">random assignment</keyword>
      <keyword vocab="" vocabURI="">vouchers</keyword>
      <keyword vocab="" vocabURI="">energy</keyword>
      <topcClas vocab="" vocabURI="">El Salvador</topcClas>
      <topcClas vocab="" vocabURI="">impact evaluation</topcClas>
      <topcClas vocab="" vocabURI="">energy</topcClas>
      <topcClas vocab="" vocabURI="">propensity score matching</topcClas>
      <topcClas vocab="" vocabURI="">random assignment</topcClas>
      <topcClas vocab="" vocabURI="">vouchers</topcClas>
    </subject>
    <abstract>The impact evaluation seeks to determine the impact of electrification on the cost of energy, energy consumption, time allocation, and household income.  Because the new electric lines will come from the existing power grid, an experimental design is not feasible for the overall impact evaluation.  Therefore, the evaluators will combine two parallel approaches. The first approach to evaluate the overall impact of the project will use a non-experimental design taking advantage of the timeline of the rollout of the project and using propensity score matching to identify treatment (households that receive the new electrical service) and control groups (households that do not receive new service).  Using specialized household surveys for both the household head and his/her spouse and with an intra-household time allocation module, the evaluators will estimate the differences in energy consumption, household income, and time use between the treatment and control groups.  A difference-in-difference estimation method will control for changes in non-observable variables, and instrumental variables estimation will control for any remaining potential sources of selection bias.

The second approach will focus on the first set of households to be connected to the electricity grid, i.e. a subsample of towns and households from the full sample being evaluated. From this sub-sample of households we will select randomly an additional control and treatment group. The treatment group will be randomly assigned vouchers for 20% and 50% of the cost of the installation of the connection that the households/business will need to pay in order access the electricity once the cable reaches their household/business (the average cost is around 120 US$). Vouchers will be assigned randomly to 400 eligible survey respondents. The vouchers would not only encourage a sufficient level of demand for electricity access in the early stages of intervention, but would also provide a basis for experimental evaluation of accessibility to electricity by serving as an instrumental variable for electricity access. The randomly selected control towns and households will serve as an appropriate control group given that they will receive no vouchers.</abstract>
    <sumDscr>
      <collDate date="2008-11" event="start" cycle=""/>
      <collDate date="2009-02" event="end" cycle=""/>
      <collDate date="2010-11" event="start" cycle=""/>
      <collDate date="2011-02" event="end" cycle=""/>
      <collDate date="2011-11" event="start" cycle=""/>
      <collDate date="2012-02" event="end" cycle=""/>
      <collDate date="2012-11" event="start" cycle=""/>
      <collDate date="2013-02" event="end" cycle=""/>
      <collDate date="2013-11" event="start" cycle=""/>
      <collDate date="2014-02" event="end" cycle=""/>
      <nation abbr="SLV">El Salvador</nation>
      <geogCover>The study includes only two departments, Chalatenango and San Miguel. These departments are proposed because they include the largest numbers of cantons that will benefit from the electrification program. In addition, these districts include a number of cantons that will be benefited from the road improvement and the electrification programs. Although rather modest, these districts will play a key role in the study of complementarities between road improvement and electrification.</geogCover>
      <geogUnit/>
      <anlyUnit>individuals, households, community</anlyUnit>
      <universe>The evaluation will use household surveys and community surveys.  To identify the households to be sampled, a census of the selected areas was implemented and a sample framework was developed which include a variable that identified if the household had access to electricity or not. From the sample framework a stratified random sample was selected within the household which did not have access to electricity at the moment of the pre-census.  

The household survey will interview approximately 1,532 households especifically for the electricity sub-activity impact evaluation.</universe>
      <dataKind>Sample survey data [ssd]</dataKind>
    </sumDscr>
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     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
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     Enter any additional quality statements in otherQualityStatements.
     
     -->
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
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      <otherQualityStatement/>
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    <notes/>
    <!-- exPostEvaluation ddi2.5
      Use this section to describe evaluation procedures not address in data evaluation processes. 
      These may include issues such as timing of the study, sequencing issues, cost/budget issues, 
      relevance, instituional or legal arrangments etc. of the study. 
      
      The completionDate attribute holds the date the evaluation was completed. 
      The type attribute is an optional type to identify the type of evaluation with or without 
      the use of a controlled vocabulary.
    -->
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <dataCollector abbr="DIGESTYC" affiliation="">Dirección General de Estadísticas y Censos</dataCollector>
      <!-- collectorTraining - DDI2.5
        
        Collector Training

        Describes the training provided to data collectors including internviewer training, process testing, 
        compliance with standards etc. This is repeatable for language and to capture different aspects of the 
        training process. The type attribute allows specification of the type of training being described.
        
        -->
      <collectorTraining type=""/>
      <frequenc/>
      <sampProc>The evaluation will use household surveys and community surveys.  To identify the households to be sampled, a census of the selected areas was implemented and a sample framework was developed which include a variable that identified if the household had access to electricity or not. From the sample framework a stratified random sample was selected within the household which did not have access to electricity at the moment of the pre-census.  

The household survey will interview approximately 1,532 households.</sampProc>
      <sampleFrame>
        <sampleFrameName/>
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          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
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      <deviat/>
      <collMode/>
      <resInstru>The household questionnaire includes two sections - one that will be answered by the primary male household representative (including household income and agricultural productivity) and will be administered by a male enumerator, and the second which will be answered by the primary female representative in the household (including household demographics, time allocation, and expenses) and administered by a female enumerator. The survey has detailed sections for each of the outcomes to be evaluated, both intermediate and final outcomes. In addition, and to be able to control for accessibility to markets, each of the survey households was geo-referenced. If both persons are not present at the time of the first visit, enumerators will attempt to make an appointment and return again to interview the appropriate person, provided that this return visit is possible within the time that the survey team will be in the area.   When possible, a second adult can also be included in the interview process, particularly for the questions related to work and agricultural output.  The survey is designed to take between 1 and 1 ½ hours for each questionnaire (i.e. male and female). In follow-up years the survey instrument consists of shorter questionaire that is administered to the person in the households that is best informed for each section. 

The community survey will be applied to communities where selected households live.  This survey will gather information about the local economy; price levels for food, basic commodities, and water and sanitation related expenditures; community infrastructure and access key markets and social services.  The goal of the surveys is to provide some context for the information gathered in the household surveys, to track community-level changes that may affect outcomes, and to reduce the required length of the household survey questionnaire.</resInstru>
      <!-- instrumentDevelopment - DDI2.5             
        Describe any development work on the data collection instrument. Type attribute allows for the optional use of a defined development type with or without use of a controlled vocabulary.
        -->
      <instrumentDevelopment type=""/>
      <collSitu/>
      <actMin>Interviewing was conducted by teams of interviewers. Each interviewing team comprised of 3-4 interviewers,  and a supervisor, and a driver.

The role of the supervisor was to coordinate field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accommodation and travel. Additionally, a chief field supervisor assigned the work to the supervisors/interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office.  

The team 2 coordinators for data entry and quality control that were responsible for managing the headquarter team reviewing each questionnaire, checking for missed questions, skip errors, fields incorrectly completed, and checking for inconsistencies in the data.  
For the follow-up surveys electronic devices where specifically programmed for the survey that automatically performed checks of the data in the field.</actMin>
      <ConOps/>
      <weight/>
      <cleanOps/>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate/>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas/>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI="http://data.mcc.gov/evaluations/index.php/catalog/111">Millennium Challenge Corporation</accsPlac>
      <origArch>Millennium Challenge Corporation
http://data.mcc.gov/evaluations/index.php/catalog/111
Cost: None</origArch>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
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  <notes/>
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<dataDscr>
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