<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>02032nam a2200217Ia 4500</leader>
  <controlfield tag="001">TDMU_30899</controlfield>
  <controlfield tag="008">210410s9999    xx            000 0 und d</controlfield>
  <datafield tag="082" ind1=" " ind2=" ">
   <subfield code="a">628.301579</subfield>
  </datafield>
  <datafield tag="090" ind1=" " ind2=" ">
   <subfield code="b">W432</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
   <subfield code="a">Wooldridge, Jeffrey M</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="0">
   <subfield code="a">Introductory econometrics</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="2">
   <subfield code="b">a modern approach</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="0">
   <subfield code="c">Jeffrey M. Wooldridge</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="a">Boston</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="b">Cengage</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="c">2016</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
   <subfield code="a">xxi, 789 pages</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
   <subfield code="a">Includes bibliographical references (pages 750-755) and index.; The nature of econometrics and economic date -- Regression analysis with cross-sectional data. The simple regression model ; Multiple regression analysis : estimation ; Multiple regre4ssion analysis : inference ; Multiple regression analysis : OLS asymptotics ; Multiple regression : further issues ; Multiple regression analysis with qualitative information : binary (or dummy) variables ; Heteroskedasticity ; More on specification and data issues -- 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 heteroskedasticity in time series regressions -- Advances 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 ; Appendix A. Basic mathematical tools -- Appendix B. Fundamentals of probability -- Appendix C. Fundamentals of mathematical statistics -- Appendix D. Summary of matrix algebra -- Appendix E. The linear regression model in matrix form -- Appendix F. Answers to chapter questions -- Appendix G. Statistical tables.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
   <subfield code="a">Econometrics.; Econometrics; Kinh tế</subfield>
  </datafield>
  <datafield tag="856" ind1=" " ind2=" ">
   <subfield code="u">http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&amp;ID=30899</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
   <subfield code="a">Trung tâm Học liệu Trường Đại học Thủ Dầu Một</subfield>
  </datafield>
 </record>
</collection>
