<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Dynamic econometrics</title>
  </titleInfo>
  <titleInfo type="abbreviated">
    <title>Dynamic Econometrics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Hendry, David</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">Author</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">ncu</placeTerm>
    </place>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Oxford University Press</publisher>
    <dateIssued>April 1995</dateIssued>
    <dateIssued encoding="marc">1995</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
  </physicalDescription>
  <abstract>Annotation This book confronts the practical problems of modelling aggregate time series data, in a systematic and intergrated framework.The main problem in econometric modelling of time series is discovering sustainable and interpretable relationships between observed economic variables. The primary aim of this book is to develop an operational econometric approach which allows constructive modelling. Professor Hendry deals withmethodological issues (model discovery, data mining, and progressive research strategies); with major tools for modelling (recursive methods, encompassing, super exogeneity, invariance tests); and with practical problems (collinearity, heteroscedasticity, and measurement errors). He also includesan extensive study of US money demand.The book is self-contained, with the technical background covered in appendices. It is thus suitable for first year graduate students, and includes solved examples and exercises to facilitate its use in teaching.</abstract>
  <targetAudience>College Audience Oxford University Press, Incorporated</targetAudience>
  <note>License restrictions may limit access.</note>
  <classification authority="ddc" edition="20">330.015195 HED</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Advanced Texts in Econometrics Ser</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9780198283164</identifier>
  <identifier type="isbn">0198283164 (Trade Paper)</identifier>
  <identifier type="stock number">00020142</identifier>
  <accessCondition type="restrictionOnAccess">License restrictions may limit access.</accessCondition>
  <recordInfo>
    <recordContentSource authority="marcorg">BIP US</recordContentSource>
    <recordCreationDate encoding="marc">950209</recordCreationDate>
    <recordChangeDate encoding="iso8601">20150203075224.0</recordChangeDate>
    <recordIdentifier source="BD-DhUL">7690065</recordIdentifier>
  </recordInfo>
</mods>
