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  <titleInfo>
    <title>Statistical inference in continuous time economic models</title>
  </titleInfo>
  <name type="personal">
    <namePart>Bergstrom, A. R. (Albert Rex)</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">ne</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Amsterdam</placeTerm>
    </place>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>North-Holland Pub. Co.</publisher>
    <publisher>American Elsevier Pub. Co.</publisher>
    <dateIssued>1976</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
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    <extent>x, 333 p. ill. 23 cm.</extent>
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  <tableOfContents>Bergstrom, A. R. Introduction.--Bergstrom, A. R. Non-recursive models as discrete approximations to systems of stochastic differential equations.--Sargan, J. D. Some discrete approximations to continuous time stochastic models.--Wymer, C. R. Econometric estimation of stochastic differential equation systems.--Phillips, P. C. B. The structural estimation of a stochastic differential equation system.--Phillips, P. C. B. The problem of identification in finite parameter continuous time models.--Phillips, P. C. B. The estimation of linear stochastic differential equations with exogenous variables.--Phillips, P. C. B. Some computations based on observed data series of the exogenous variable component in continuous systems.--Robinson, P. M. Fourier estimation of continuous time models.--Bergstrom, A. R. and Wymer, C. R. A model of disequilibrium neoclassical growth and its application to the United Kingdom.</tableOfContents>
  <note type="statement of responsibility">editor, A. R. Bergstrom.</note>
  <note>Includes bibliographies and index.</note>
  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Stochastic systems</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Stochastic differential equations</topic>
  </subject>
  <classification authority="lcc">HA29 .S783 1976</classification>
  <classification authority="ddc">519.5/4</classification>
  <identifier type="isbn">0444109919 (American Elsevier)</identifier>
  <identifier type="lccn">75038773 //r922</identifier>
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    <recordIdentifier source="BIBL">113135</recordIdentifier>
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