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- English
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eBook - PDF
Principles of Econometrics
About this book
Principles of Econometrics, Fifth Edition, is an introductory book for undergraduate students in economics and finance, as well as first-year graduate students in a variety of fields that include economics, finance, accounting, marketing, public policy, sociology, law, and political science. Students will gain a working knowledge of basic econometrics so they can apply modeling, estimation, inference, and forecasting techniques when working with real-world economic problems. Readers will also gain an understanding of econometrics that allows them to critically evaluate the results of others' economic research and modeling, and that will serve as a foundation for further study of the field.
This new edition of the highly-regarded econometrics text includes major revisions that both reorganize the content and present students with plentiful opportunities to practice what they have read in the form of chapter-end exercises.
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Yes, you can access Principles of Econometrics by R. Carter Hill,William E. Griffiths,Guay C. Lim in PDF and/or ePUB format, as well as other popular books in Economics & Econometrics. We have over one million books available in our catalogue for you to explore.
Information
8
CHAPTER
1
An
Introduction
to
Econometrics
9,000
10,000
11,000
12,000
13,000
14,000
15,000
16,000
17,000
1992
1996
2000
2004
2008
2012
Year
GDP
2016
FIGURE
1.1
Real
U.S.
GDP,
1994–2014.
3
TABLE
1.1
U.S.
Annual
GDP
(Billions
of
Real
2009
Dollars)
Year
GDP
2006
14,613.8
2007
14,873.7
2008
14,830.4
2009
14,418.7
2010
14,783.8
2011
15,020.6
2012
15,354.6
2013
15,583.3
2014
15,961.7
1.5.2
Cross-Section
Data
A
cross-section
of
data
is
collected
across
sample
units
in
a
particular
time
period.
Examples
are
income
by
counties
in
California
during
2016
or
high
school
graduation
rates
by
state
in
2015.
The
“sample
units”
are
individual
entities
and
may
be
firms,
persons,
households,
states,
or
countries.
For
example,
the
CPS
reports
results
of
personal
interviews
on
a
monthly
basis,
covering
items
such
as
employment,
unemployment,
earnings,
educational
attainment,
and
income.
In
Table
1.2,
we
report
a
few
observations
from
the
March
2013
survey
on
the
variables
RACE,
EDUCATION,
SEX
,
and
WAGE
(hourly
wage
rate).
4
There
are
many
detailed
questions
asked
of
the
respondents.
............................................................................................................................................
3
Source:
www.bea.gov/national/index.htm
4
In
the
actual
raw
data,
the
variable
descriptions
are
coded
differently
to
the
names
in
Table
1.2.
We
have
used
shortened
versions
for
convenience.
Table of contents
- Cover
- Title Page
- Copyright
- Preface
- Contents
- List of Examples
- Chapter 1: An Introduction to Econometrics
- Probability Primer
- Chapter 2: The Simple Linear Regression Model
- Chapter 3: Interval Estimation and Hypothesis Testing
- Chapter 4: Prediction, Goodness-of-Fit, and Modeling Issues
- Chapter 5: The Multiple Regression Model
- Chapter 6: Further Inference in the Multiple Regression Model
- Chapter 7: Using Indicator Variables
- Chapter 8: Heteroskedasticity
- Chapter 9: Regression with Time-Series Data: Stationary Variables
- Chapter 10: Endogenous Regressors and Moment-Based Estimation
- Chapter 11: Simultaneous Equations Models
- Chapter 12: Regression with Time-Series Data: Nonstationary Variables
- Chapter 13: Vector Error Correction and Vector Autoregressive Models
- Chapter 14: Time-Varying Volatility and ARCH Models
- Chapter 15: Panel Data Models
- Chapter 16: Qualitative and Limited Dependent Variable Models
- Appendix A: Mathematical Tools
- Appendix B: Probability Concepts
- Appendix C: Review of Statistical Inference
- Appendix D: Statistical Tables
- Index
- EULA