<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="2.5" ID="RWA_2017-2020_RMPS_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd">
    <docDscr>
        <citation>
            <titlStmt>
                <titl>Estimating the Impact of Rural Feeder Roads in Rwanda</titl>
                <IDNo>DDI_RWA_2017-2020_RMPS_v01_M_WB</IDNo>
            </titlStmt>
            <prodStmt>
                <producer abbr="DECDG" affiliation="World Bank" role="Documentation of the Study">Development Data Group</producer>
                <prodDate date="2021-01-12">2021-01-12</prodDate>
                <software version="5.0.19">Metadata Editor</software>
            </prodStmt>
            <verStmt>
                <version date="2021-01-12">Version 01</version>
            </verStmt>
        </citation>
    </docDscr>
    <stdyDscr>
        <citation>
            <titlStmt>
                <IDNo>RWA_2017-2020_RMPS_v01_M</IDNo>
                <titl>Rural Market Price Survey 2017-2020</titl>
                <altTitl>RMPS 2017-2020</altTitl>
            </titlStmt>
            <rspStmt>
                <AuthEnty affiliation="World Bank">Maria Ruth Jones</AuthEnty>
                <AuthEnty affiliation="World Bank">Florence Kondylis</AuthEnty>
                <AuthEnty affiliation="World Bank">John Loeser</AuthEnty>
            </rspStmt>
            <prodStmt>
                <fundAg abbr="i2i">Impact Evaluation for Development Impact (i2i) Trust Fund</fundAg>
                <software version="5.0.19">Metadata Editor</software>
            </prodStmt>
            <distStmt>
                <contact affiliation="DIME, World Bank" email="mjones5@worldbank.org">Maria Ruth Jones</contact>
            </distStmt>
            <serStmt>
                <serName>Price Survey [hh/prc]</serName>
            </serStmt>
            <verStmt>
                <version date="2021-01-12"/>
            </verStmt>
        </citation>
        <stdyInfo>
            <abstract>This is a panel dataset of monthly price data from a selected sample of rural markets in Rwanda, with data points starting in January 2017 and ending in November 2020.</abstract>
            <sumDscr>
                <collDate date="2017/01/01" event="start"/>
                <collDate date="2020/11/30" event="end"/>
                <nation abbr="RWA">Rwanda</nation>
                <geogCover>The dataset includes markets in 21 districts of Rwanda, covering all 4 provinces.</geogCover>
                <anlyUnit>Product (one observation per product per month per market).</anlyUnit>
                <dataKind>Sample survey data [ssd]</dataKind>
            </sumDscr>
            <notes>The study provides price data for a basket of 69 products, from 148 rural markets across 21 districts in Rwanda. The data starts in January 2017 and goes through November 2020.</notes>
        </stdyInfo>
        <method>
            <dataColl>
                <dataCollector abbr="IPA - Rwanda">Innovations for Poverty Action - Rwanda</dataCollector>
                <sampProc>Markets were purposively sampled, based on proximity to roads prioritized for rehabilitation by the Government of Rwanda.</sampProc>
                <collMode>Computer Assisted Personal Interview [capi]</collMode>
                <collSitu>Data was collected through in-person interviews (enumerators recorded data on tablets) from January 2017 through March 2020. Due to the global pandemic, fieldwork halted in March 2020 and data collection switched to phone-based surveys using the same enumeration team and a comparable survey instrument.</collSitu>
                <actMin>Regular field supervision was provided by the organization responsible for data collection, Innovations for Poverty Action - Rwanda. Supervision included regular unannounced field visits and refresher trainings of all enumerators every other month. Research team staff conducted random spot checks of field work.</actMin>
                <cleanOps>
                    <![CDATA[2-3 price points were taken per product at each market per month. In order to deal with outliers, prices were logged and averaged to get mean monthly prices, then exponentiated to be interpretable. 
Where a product was not available, there is no price data. However, there are cases where a product was available but price data was not available.]]>
                </cleanOps>
            </dataColl>
        </method>
        <dataAccs>
            <useStmt>
                <confDec required="yes"/>
                <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

The World Bank. Rwanda Rural Market Price Survey (RMPS) 2017-2020. Dataset downloaded from [uri] on [date].]]>
                </citReq>
                <conditions>Licensed Data. Access must be requested from the lead researchers.</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>
    </stdyDscr>
    <fileDscr ID="F1">
        <fileTxt>
            <fileName>rwanda_market_prices_panel.dta</fileName>
            <fileStrc type="relational">
                <recGrp keyvar="V2 V9" recGrp="undefined"/>
            </fileStrc>
            <dimensns>
                <caseQnty>395685</caseQnty>
                <varQnty>11</varQnty>
            </dimensns>
            <fileType>.dta</fileType>
            <fileCont>
                <![CDATA[Rwanda Market Prices Panel 2017-2020
This dataset contains only availability and average price of each product per market per month. The additional indicators captured in the questionnaire are embargoed at this time but will be released in the future.]]>
            </fileCont>
        </fileTxt>
        <notes>market_id identifies the markets, product identifies the product, available indicates whether the product was available at the given market during the given month, and avg_price indicates the price of that product in that market in that month.</notes>
    </fileDscr>
    <dataDscr>
        <var ID="V2" name="market_id" files="F1" dcml="0" intrvl="contin">
            <labl>Market ID</labl>
            <location StartPos="1" EndPos="9" width="9"/>
            <valrng>
                <range UNITS="REAL" min="220101030" max="571505004"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">220101030</sumStat>
            <sumStat type="max">571505004</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V3" name="province" files="F1" intrvl="discrete">
            <labl>Province Name</labl>
            <location StartPos="10" EndPos="14" width="5"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <catgry>
                <catValu>East</catValu>
                <labl></labl>
                <catStat type="freq">110419</catStat>
            </catgry>
            <catgry>
                <catValu>North</catValu>
                <labl></labl>
                <catStat type="freq">65679</catStat>
            </catgry>
            <catgry>
                <catValu>South</catValu>
                <labl></labl>
                <catStat type="freq">63534</catStat>
            </catgry>
            <catgry>
                <catValu>West</catValu>
                <labl></labl>
                <catStat type="freq">156053</catStat>
            </catgry>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V4" name="district" files="F1" intrvl="discrete">
            <labl>District Name</labl>
            <location StartPos="15" EndPos="24" width="10"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <catgry>
                <catValu>Bugesera</catValu>
                <labl></labl>
                <catStat type="freq">12142</catStat>
            </catgry>
            <catgry>
                <catValu>Burera</catValu>
                <labl></labl>
                <catStat type="freq">14329</catStat>
            </catgry>
            <catgry>
                <catValu>Gakenke</catValu>
                <labl></labl>
                <catStat type="freq">20678</catStat>
            </catgry>
            <catgry>
                <catValu>Gatsibo</catValu>
                <labl></labl>
                <catStat type="freq">29133</catStat>
            </catgry>
            <catgry>
                <catValu>Gicumbi</catValu>
                <labl></labl>
                <catStat type="freq">13096</catStat>
            </catgry>
            <catgry>
                <catValu>Gisagara</catValu>
                <labl></labl>
                <catStat type="freq">18186</catStat>
            </catgry>
            <catgry>
                <catValu>Huye</catValu>
                <labl></labl>
                <catStat type="freq">20005</catStat>
            </catgry>
            <catgry>
                <catValu>Karongi</catValu>
                <labl></labl>
                <catStat type="freq">25720</catStat>
            </catgry>
            <catgry>
                <catValu>Muhanga</catValu>
                <labl></labl>
                <catStat type="freq">5082</catStat>
            </catgry>
            <catgry>
                <catValu>Musanze</catValu>
                <labl></labl>
                <catStat type="freq">6139</catStat>
            </catgry>
            <catgry>
                <catValu>Ngoma</catValu>
                <labl></labl>
                <catStat type="freq">17314</catStat>
            </catgry>
            <catgry>
                <catValu>Ngororero</catValu>
                <labl></labl>
                <catStat type="freq">18345</catStat>
            </catgry>
            <catgry>
                <catValu>Nyabihu</catValu>
                <labl></labl>
                <catStat type="freq">21429</catStat>
            </catgry>
            <catgry>
                <catValu>Nyagatare</catValu>
                <labl></labl>
                <catStat type="freq">31963</catStat>
            </catgry>
            <catgry>
                <catValu>Nyamasheke</catValu>
                <labl></labl>
                <catStat type="freq">31970</catStat>
            </catgry>
            <catgry>
                <catValu>Nyaruguru</catValu>
                <labl></labl>
                <catStat type="freq">20261</catStat>
            </catgry>
            <catgry>
                <catValu>Rubavu</catValu>
                <labl></labl>
                <catStat type="freq">27294</catStat>
            </catgry>
            <catgry>
                <catValu>Rulindo</catValu>
                <labl></labl>
                <catStat type="freq">11437</catStat>
            </catgry>
            <catgry>
                <catValu>Rusizi</catValu>
                <labl></labl>
                <catStat type="freq">6177</catStat>
            </catgry>
            <catgry>
                <catValu>Rutsiro</catValu>
                <labl></labl>
                <catStat type="freq">25118</catStat>
            </catgry>
            <catgry>
                <catValu>Rwamagana</catValu>
                <labl></labl>
                <catStat type="freq">19867</catStat>
            </catgry>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V5" name="sector" files="F1" intrvl="contin">
            <labl>Sector Name</labl>
            <location StartPos="25" EndPos="35" width="11"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V6" name="cell" files="F1" intrvl="contin">
            <labl>Cell Name</labl>
            <location StartPos="36" EndPos="47" width="12"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V7" name="year" files="F1" dcml="0" intrvl="discrete">
            <labl>Year data was collected</labl>
            <location StartPos="48" EndPos="51" width="4"/>
            <valrng>
                <range UNITS="REAL" min="2016" max="2020"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">2016</sumStat>
            <sumStat type="max">2020</sumStat>
            <catgry>
                <catValu>2016</catValu>
                <labl></labl>
                <catStat type="freq">15552</catStat>
            </catgry>
            <catgry>
                <catValu>2017</catValu>
                <labl></labl>
                <catStat type="freq">95360</catStat>
            </catgry>
            <catgry>
                <catValu>2018</catValu>
                <labl></labl>
                <catStat type="freq">100544</catStat>
            </catgry>
            <catgry>
                <catValu>2019</catValu>
                <labl></labl>
                <catStat type="freq">106816</catStat>
            </catgry>
            <catgry>
                <catValu>2020</catValu>
                <labl></labl>
                <catStat type="freq">77413</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V8" name="month" files="F1" dcml="0" intrvl="discrete">
            <labl>Month data was collected</labl>
            <location StartPos="52" EndPos="53" width="2"/>
            <valrng>
                <range UNITS="REAL" min="1" max="12"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">12</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">34432</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl></labl>
                <catStat type="freq">32064</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl></labl>
                <catStat type="freq">28288</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl></labl>
                <catStat type="freq">31591</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl></labl>
                <catStat type="freq">34106</catStat>
            </catgry>
            <catgry>
                <catValu>6</catValu>
                <labl></labl>
                <catStat type="freq">33280</catStat>
            </catgry>
            <catgry>
                <catValu>7</catValu>
                <labl></labl>
                <catStat type="freq">34567</catStat>
            </catgry>
            <catgry>
                <catValu>8</catValu>
                <labl></labl>
                <catStat type="freq">25280</catStat>
            </catgry>
            <catgry>
                <catValu>9</catValu>
                <labl></labl>
                <catStat type="freq">33536</catStat>
            </catgry>
            <catgry>
                <catValu>10</catValu>
                <labl></labl>
                <catStat type="freq">33333</catStat>
            </catgry>
            <catgry>
                <catValu>11</catValu>
                <labl></labl>
                <catStat type="freq">40840</catStat>
            </catgry>
            <catgry>
                <catValu>12</catValu>
                <labl></labl>
                <catStat type="freq">34368</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V9" name="product" files="F1" intrvl="contin">
            <labl>Product name</labl>
            <location StartPos="54" EndPos="71" width="18"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V10" name="available" files="F1" intrvl="discrete">
            <labl>Indicator of availability in market</labl>
            <location StartPos="72" EndPos="74" width="3"/>
            <qstn>
                <qstnLit>Do you see the product ?</qstnLit>
            </qstn>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <catgry>
                <catValu></catValu>
                <labl></labl>
                <catStat type="freq">1</catStat>
            </catgry>
            <catgry>
                <catValu>No</catValu>
                <labl></labl>
                <catStat type="freq">77442</catStat>
            </catgry>
            <catgry>
                <catValu>Yes</catValu>
                <labl></labl>
                <catStat type="freq">318242</catStat>
            </catgry>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V11" name="avg_price" files="F1" dcml="0" intrvl="contin">
            <labl>Average price of product in market</labl>
            <location StartPos="75" EndPos="94" width="20"/>
            <valrng>
                <range UNITS="REAL" min="0.00142857141327113" max="1400000"/>
            </valrng>
            <sumStat type="vald">316698</sumStat>
            <sumStat type="invd">78987</sumStat>
            <sumStat type="min">0.00142857141327113</sumStat>
            <sumStat type="max">1400000</sumStat>
            <codInstr>2-3 price points were taken per product at each market per month. In order to deal with outliers, prices were logged and averaged to get mean monthly prices, then exponentiated to be interpretable. Where a product was not available, there is no price data. However, there are cases where a product was available but price data was not available.</codInstr>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V12" name="market_dropped_2018" files="F1" dcml="0" intrvl="discrete">
            <labl>Data collection discontinued in 2018</labl>
            <location StartPos="95" EndPos="95" width="1"/>
            <valrng>
                <range UNITS="REAL" min="0" max="1"/>
            </valrng>
            <sumStat type="vald">395685</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">0</sumStat>
            <sumStat type="max">1</sumStat>
            <catgry>
                <catValu>0</catValu>
                <labl></labl>
                <catStat type="freq">376805</catStat>
            </catgry>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">18880</catStat>
            </catgry>
            <codInstr>2-3 price points were taken per product at each market per month. In order to deal with outliers, prices were logged and averaged to get mean monthly prices, then exponentiated to be interpretable. Where a product was not available, there is no price data. However, there are cases where a product was available but price data was not available.</codInstr>
            <varFormat type="numeric" schema="other"/>
        </var>
    </dataDscr>
</codeBook>