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Introduction to Econometrics / G.S. Maddala, Kajal Lahiri.

By: Contributor(s): Material type: TextTextPublication details: New Delhi : Wiley, 2009.Edition: 4th edDescription: xx, 634 p. : ill. ; 24 cmISBN:
  • 9788126534159
Subject(s): DDC classification:
  • 330.01/5195 M262 E 103968
Contents:
What is econometrics? -- Statistical background and matrix algebra -- Simple regression -- Multiple regression -- Heteroskedasticity -- Autocorrelation -- Multicollinearity -- Dummy variables and truncated variables -- Simultaneous equations models -- Diagnostic checking, model selection, and specification testing -- Errors in variables -- Introduction to time-series analysis -- Models of expectations and distributed lags -- Vector autoregressions, unit roots, and cointegration -- Panel data analysis -- Small-sample inference : resampling methods.
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Item type Current library Collection Call number Status Barcode
Books Books Ubhayabharati Management Non-fiction 330.01/5195 M262 E 103968 (Browse shelf(Opens below)) Available 103968

Introduction to Econometrics has been one of the most important textbooks in its field influencing several generations of students. G.S Maddala died in 1999 whilst he was completing the manuscript for the third edition. The time is right for a new edition and Kajal Lahiri is the ideal person to update the text. He was one of Maddala's closest colleagues and also has a high profile in the econometrics profession and is particularly noted for his work on panel data. The third edition of Introduction to Econometrics has been translated into Hungarian, Japanese and Portuguese.

What is econometrics? -- Statistical background and matrix algebra -- Simple regression -- Multiple regression -- Heteroskedasticity -- Autocorrelation -- Multicollinearity -- Dummy variables and truncated variables -- Simultaneous equations models -- Diagnostic checking, model selection, and specification testing -- Errors in variables -- Introduction to time-series analysis -- Models of expectations and distributed lags -- Vector autoregressions, unit roots, and cointegration -- Panel data analysis -- Small-sample inference : resampling methods.

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