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  <titleInfo>
    <title>Using R for introductory econometrics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Heiss, Florian</namePart>
    <namePart type="date">1973-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">gw</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Dusseldorf (Westfalia, Alemania)</placeTerm>
    </place>
    <publisher>[Sin editor]</publisher>
    <dateIssued>2016</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>344 páginas ilustraciones, gráficas</extent>
  </physicalDescription>
  <abstract>"This book does not attempt to provide a self-contained discussion of econometric models and methods. It also does not give an independent general introduction to R. Instead, it builds on the excellent and popular textbook 'Introductory Econometrics' by Wooldridge (2016). It is compatible in terms of topics, organization, terminology, and notation, and is designed for a seamless transition from theory to practice."--</abstract>
  <tableOfContents>Introduction -- I. Regression analysis with cross-sectional data. The simple regression model -- Multiple regression analysis: estimation -- Multiple regression analysis: inference -- Multiple regression analysis: OLS asymptotics -- Multiple regression analysis: further issues -- Multiple regression analysis with qualitative regressors -- Heteroscedasticity -- More on specification and data issues -- II. Regression analysis with time series data. Basic regression analysis with time series data -- Further issues in using OLS with time series data -- Serial correlation and heteroscedasticity in time series regressions -- III. Advanced topics. Pooling cross-sections across time: simple panel data methods -- Advanced panel data methods -- Instrumental variables estimation and two stage least squares -- Simultaneous equations models -- Limited dependent variable models and sample selection corrections -- Advanced time series topics -- Carrying out an empirical project -- IV. Appendices. R scripts.</tableOfContents>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Florian Heiss</note>
  <note>Incluye referencias bibliográficas e índices</note>
  <note>Texto en inglés</note>
  <subject authority="">
    <topic>Econometría</topic>
    <topic>Programas para computador</topic>
  </subject>
  <subject authority="">
    <topic>Análisis de regresión</topic>
  </subject>
  <subject authority="">
    <topic>Economía matemática</topic>
  </subject>
  <subject authority="">
    <topic>Estadística matemática</topic>
  </subject>
  <subject authority="">
    <topic>R (Lenguaje de programación para computadores)</topic>
  </subject>
  <identifier type="isbn">9781523285136</identifier>
  <identifier type="isbn">1523285133</identifier>
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    <recordCreationDate encoding="marc">170428</recordCreationDate>
    <recordChangeDate encoding="iso8601">20211105120830.0</recordChangeDate>
    <recordIdentifier source="Co-BoUCM">ocn952418012</recordIdentifier>
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      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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