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<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_BFA_2012_MCC-PRR_v01_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="MCC" affiliation="" role="Metadata Producer ">Millennium Challenge Corporation</producer>
      <prodDate date="2014-10-16">2014-10-16</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 1.0 (October 2014)
Version 2.0 (April 2015). Edited version based on Version 01 (DDI-MCC-BFA-IMPAQ-ROADS-V1) that was done by Millennium Challenge Corporation.</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Primary and Rural Roads 2012</titl>
      <subTitl/>
      <altTitl>MCC-PRR 2012</altTitl>
      <parTitl/>
      <IDNo>BFA_2012_MCC-PRR_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">IMPAQ</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2021-04-19">NADA</software>
      <fundAg abbr="MCC" role="">Millennium Challenge Corporation</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="" URI="" email="impact-eval@mcc.gov">Monitoring &amp; Evaluation Division of the Millennium Challenge Corporation</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Independent Impact Evaluation</serName>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date="">Anonymized dataset for public distribution</version>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">Roads</keyword>
      <keyword vocab="" vocabURI="">Transportation</keyword>
    </subject>
    <abstract>The consultant group NSCE-MCG-AC3E [the Group] conducted traffic, household, and business surveys as part of the Road Development Project evaluation.

Specifically, it conducted a baseline survey of households, businesses, and traffic.  The data collected was intended to serve either as baseline data for the impact evaluation or as baseline monitoring data for the compact in general.

The data collected was intened to support the impact evaluation in estimating impact related to:

-reduced travel time along the roads
-improved access to social services (e.g., schools and healthcare centers);
-improved access to markets for goods and services;
-change in the type, volume, and value of transported goods
-increased economic activity levels

The survey was also designed to permit analysis of benefits to sub-groups, specifically allowing analysis by age, gender, and income level. Whenever possible, the variables permit disaggregation by gender.

The planned evaluation methodology was a “difference-in-difference” estimation.  The evaluation intended to compare the conditions before and after the project along the rehabilitated road segments with conditions in similar zones along similar road segments that were not rehabilitated.</abstract>
    <sumDscr>
      <collDate date="2012-04-01" event="start" cycle=""/>
      <collDate date="2012-09-30" event="end" cycle=""/>
      <nation abbr="BFA">Burkina Faso</nation>
      <geogCover>The traffic survey covered all rehabilitated road segments as well as the identified comparison road segments.  The household and business surveys were were conducted within a 10km band along the given road segments (km on either side of the road).</geogCover>
      <geogUnit/>
      <anlyUnit>Individuals, Businesses, and Road Conditions (traffic survey)</anlyUnit>
      <universe>Households and businesses located along primary and rural roads</universe>
      <dataKind>Sample survey data [ssd]</dataKind>
    </sumDscr>
    <!-- qualityStatement - ddi2.5 - complex type
     
     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
     In standardsCompliance list all specific standards complied with during the execution of this 
     study. Note the standard name and producer and how the study complied with the standard. 
     Enter any additional quality statements in otherQualityStatements.
     
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    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes/>
    <!-- exPostEvaluation ddi2.5
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      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="NSCE" affiliation="">North South Consultants Exchange</dataCollector>
      <dataCollector abbr="MCG" affiliation="">Mauritania Consulting Group</dataCollector>
      <dataCollector abbr="" affiliation="">AC3E</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 household survey was conducted through a process of two-stage stratified random sampling. In the first stage, the localities were selected based on a systematic selection with probability proportional to household size. In the second stage, a constant number of households were selected with equal probability without replacement.</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode/>
      <resInstru>· Traffic survey
· Household basic socioeconomic services survey
· Business survey including both farmers and enterprises in the informal and formal sectors in the areas of services, crafts, and business
· Survey of road maintenance actors

The survey will cover all of the rehabilitated roads (three (3) primary road segments to be paved and the rural roads selected in Comoé, Léraba, and Kénédougou Provinces). The household and business surveys occurred at a single point in time, whereas the traffic surveys were repeated in two rounds so as to capture variability over time.</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>The data collection consultants were responsible for hiring and then training the staff assigned to data collection. The staff hired needed to have at least a secondary school diploma for the interviewers and a university diploma for the supervisors.  They also had to provide evidence of experience in conducting similar surveys and mastery of the local languages in the surveyed areas.  All staff received at least three (3) days of training to familiarize them with the objectives of MCA-BF and the Road Development Project as well as the methodology to be followed, the responsibilities of each of the actors, and the behavior to adopt towards the local authorities, populations, and individuals to be surveyed and interviewed. Special attention was paid to understanding the questionnaires the staff training manuals.</actMin>
      <ConOps/>
      <weight>To determine the household sample size for primary and rural roads, a weighting coefficient proportional to the total length of each substratum was used.</weight>
      <cleanOps>After exporting the data from Access to text format, the data processing work was done entirely in SPSS. This second phase of data cleaning was very important for verifying the quality and consistency of the data.</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/125">Millennium Challenge Corporation</accsPlac>
      <origArch>Millennium Challenge Corporation
http://data.mcc.gov/evaluations/index.php/catalog/125
Cost: None</origArch>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <restrctn/>
      <citReq>NSCE, MCG, and AC3E. 2014. Burkina Faso Road Development Survey, 2012.</citReq>
      <deposReq/>
      <conditions/>
      <disclaimer/>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
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<dataDscr>
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