| DC Field | Value | Language |
| dc.contributor.author | Baltagi, Badi H. | - |
| dc.date.accessioned | 2021-04-19T10:21:43Z | - |
| dc.date.available | 2021-04-19T10:21:43Z | - |
| dc.date.issued | 2011 | - |
| dc.identifier.isbn | 978-3-642-20059-5 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/91 | - |
| dc.description | The exercises contain theoretical problems that should supplement the understanding of the
material in each chapter. Some of these exercises are drawn from the Problems and Solutions
series of Econometric Theory (reprinted with permission of Cambridge University Press). In
addition, the book has a set of empirical illustrations demonstrating some of the basic results
learned in each chapter. Data sets from published articles are provided for the empirical exer-
cises. These exercises are solved using several econometric software packages and are available
in the Solution Manual. This book is by no means an applied econometrics text, and the reader
should consult Berndt’s (1991) textbook for an excellent treatment of this subject. Instructors
and students are encouraged to get other data sets from the internet or journals that provide
backup data sets to published articles. | en_US |
| dc.description.abstract | This book is intended for a first year graduate course in econometrics. I tried to strike a balance
between a rigorous approach that proves theorems, and a completely empirical approach where
no theorems are proved. Some of the strengths of this book lie in presenting some difficult
material in a simple, yet rigorous manner. For example, Chapter 12 on pooling time-series of
cross-section data is drawn from my area of expertise in econometrics and the intent here is to
make this material more accessible to the general readership of econometrics.
This book teaches some of the basic econometric methods and the underlying assumptions
behind them. Estimation, hypotheses testing and prediction are three recurrent themes in
this book. Some uses of econometric methods include (i) empirical testing of economic the-
ory, whether it is the permanent income consumption theory or purchasing power parity, (ii)
forecasting, whether it is GNP or unemployment in the U.S. economy or future sales in the com-
puter industry. (iii) Estimation of price elasticities of demand, or returns to scale in production.
More importantly, econometric methods can be used to simulate the effect of policy changes
like a tax increase on gasoline consumption, or a ban on advertising on cigarette consumption. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Econometrics | en_US |
| dc.subject | Economics | en_US |
| dc.subject | Business | en_US |
| dc.subject | Business and Economics | en_US |
| dc.title | Econometrics | en_US |
| dc.title.alternative | Springer Texts in Business and Economics | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | ARTS & SCIENCE
|