Chapter 1
Chapter 2
Chapter 3
All the assumptions on the error terms have been stated as conditional
on given X. Proofs of unbiasedness and the Gauss-Markov Theorem are
initially done with X given and then extended to the case where it is a
random variable.
Chapter 4
Example 4.2 is new. Rest are moved up by one.
Added DATA4-16 and DATA4-17.
Added a section on generating the forecast and confidence interval for
the dependent variable in a multiple regression model.
Added a section on important comments about interpreting regression
coefficients, especially those for variables measured as percentages or
proportions.
Chapter 6
Added a discussion and a table summarizing the interpretation of
regression coefficients in models involving logarithms of variables.
Chapter 7
Added DATA7-24, DATA7-25, and DATA7-26.
Added a section on the modified interpretation of dummy
coefficients in the case of log-linear models.
Chapter 9
Added DATA9-13.
Chapter 10
Replaced Example 10.5 by a new one and added Example 10.6. Remaining
examples have been renumbered. Added a section on VAR models and
another on panel data. Example 10.9 is new.
Chapter 11
Extends the forecast combination section to include serial correlation,
ARCH effects, and time-varying weights.
Chapter 14
Added a section on index numbers. Added section on Econ Lit software.
Appendix C
Data sets are now available in a variety of formats; ASCII (that is,
text), B34S, EVIEWS, EXCEL, GRETL, PcGive, and SHAZAM. The appendix
also describes where these data sets are available and provides a brief
introduction to the econometrics software packages B34S, EVIEWS, GRETL,
PcGive, and SHAZAM, with a link to other software packages.
Appendix D
Added descriptions of new data sets.