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  <titleInfo>
    <title>Forecasting non-stationary economic time series</title>
  </titleInfo>
  <name type="personal">
    <namePart>Clements, Michael P.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Hendry, David F.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">mau</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Cambridge, Mass</placeTerm>
    </place>
    <publisher>MIT Press</publisher>
    <dateIssued>c1999</dateIssued>
    <dateIssued encoding="marc">1999</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxviii, 362 p. : ill. ; 24 cm.</extent>
  </physicalDescription>
  <abstract>"In their second book on economic forecasting, Michael P. Clements and David F. Hendry ask why some practices seem to work empirically despite a lack of formal support from theory. After reviewing the conventional approach to economic forecasting, they look at the implications for causal modeling, present a taxonomy of forecast errors, and delineate the sources of forecast failure.</abstract>
  <abstract>They show that forecast-period shifts in deterministic factors - interacting with model misspecification, collinearity, and inconsistent estimation - are the dominant source of systematic failure. They then consider various approaches for avoiding systematic forecasting errors, including intercept corrections, differencing, co-breaking, and modeling regime shifts; they emphasize the distinction between equilibrium correction (based on cointegration) and error correction (automatically offsetting past errors). Finally, they present three applications to test the implications of their framework.</abstract>
  <abstract>Their results on forecasting have wider implications for the conduct of empirical econometric research, model formulation, the testing of economic hypotheses, and model-based policy analyses."--BOOK JACKET.</abstract>
  <tableOfContents>1. Economic Forecasting -- 2. Forecast Failure -- 3. Deterministic Shifts -- 4. Other Sources -- 5. Differencing -- 6. Intercept Corrections -- 7. Modeling Consumers' Expenditure -- 8. A Small UK Money Model -- 9. Co-breaking -- 10. Modeling Shifts -- 11. A Wage-Price Model -- 12. Postscript.</tableOfContents>
  <note type="statement of responsibility">Michael P. Clements and David F. Hendry.</note>
  <note>Includes bibliographical references (p. 327-345) and indexes.</note>
  <subject authority="lcsh">
    <topic>Time-series analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Economic forecasting</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject>
    <topic>Time-series analysis</topic>
  </subject>
  <subject>
    <topic>Economic forecasting</topic>
    <topic>Statistical methods</topic>
  </subject>
  <classification authority="lcc">HA30.3 .C55 1999</classification>
  <classification authority="ddc" edition="21">330.015195 CLF</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Zeuthen lecture book series</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">0262032724 (hc : alk. paper)</identifier>
  <identifier type="lccn">99022998</identifier>
  <recordInfo>
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    <recordCreationDate encoding="marc">990318</recordCreationDate>
    <recordChangeDate encoding="iso8601">20160508142248.0</recordChangeDate>
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