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  <titleInfo>
    <title>The economic impact of road accidents: the case of Sri Lanka</title>
  </titleInfo>
  <name type="personal">
    <namePart>Bhavan, Thangamani</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <dateIssued>2019</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>p.124-137.</extent>
  </physicalDescription>
  <abstract>The purpose of this study is to disclose accident-related indices and investigate the extent to which the road accidents impact on the economic performance of Sri Lanka during the period from 1977 to 2016. Annual time-series data are used to evaluate the accident indices for econometric analysis. Augmented Dickey–Fuller (ADF) unit root analysis and Johansen’s maximum likelihood estimator of
the parameters of a cointegrating vector error correction model (VECM) are employed to test the stationary properties of the time series and to examine the long-run relationship between the variables, respectively. The results derived from the analysis confirm the existence of long-run relationship between the accident-related indices and macroeconomic indicators. The long-run elasticity values imply the signs and magnitude of impact of the accident indices on macroeconomic indicators. - Reproduced.</abstract>
  <subject>
    <topic>Roads - Accidents - Sri Lanka</topic>
  </subject>
  <subject>
    <topic>Economic growth</topic>
  </subject>
  <relatedItem type="host">
    <name>
      <namePart>South Asia Economic Journal</namePart>
    </name>
  </relatedItem>
  <recordInfo>
    <recordCreationDate encoding="marc">190808</recordCreationDate>
  </recordInfo>
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