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  <titleInfo>
    <title>Time series econometrics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Neusser, Klaus</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Switzerland</placeTerm>
    </place>
    <publisher>Springer</publisher>
    <dateIssued>c2025</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxii, 429p.</extent>
  </physicalDescription>
  <abstract>This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and its relation to the basic properties of covariance funtions, investigating the structure and estimation of autoregressive-moving average (ARMA) models and their relations to the covariance structure.</abstract>
  <note>Includes bibliographical references and index.</note>
  <subject>
    <topic>Econometrics</topic>
  </subject>
  <subject>
    <topic>Macroeconomics</topic>
    <topic>Monetary Economics</topic>
    <topic>Financial Economics</topic>
  </subject>
  <subject>
    <topic>Statistics for Business</topic>
  </subject>
  <classification authority="ddc">330.015195 NEU</classification>
  <identifier type="isbn">9783031888373</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">260515</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260529123639.0</recordChangeDate>
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