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020 |a 9783030801496  |9 978-3-030-80149-6 
024 7 |a 10.1007/978-3-030-80149-6  |2 doi 
050 4 |a HB139-141 
072 7 |a KCH  |2 bicssc 
072 7 |a BUS021000  |2 bisacsh 
072 7 |a KCH  |2 thema 
082 0 4 |a 330.015195  |2 23 
100 1 |a Baltagi, Badi H.  |e author.  |0 (orcid)0000-0003-0469-4479  |1 https://orcid.org/0000-0003-0469-4479  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Econometrics  |h [electronic resource] /  |c by Badi H. Baltagi. 
250 |a 6th ed. 2021. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2021. 
300 |a XXI, 485 p. 1 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Classroom Companion: Economics,  |x 2662-2890 
505 0 |a Part 1: What Is Econometrics? -- Basic Statistical Concepts -- Simple Linear Regression -- Multiple Regression Analysis -- Violations of the Classical Assumptions -- Distributed Lags and Dynamic Models -- Part 2: The General Linear Model: The Basics -- Regression Diagnostics and Specification Tests -- Generalized Least Squares -- Seemingly Unrelated Regressions -- Simultaneous Equations Model -- Pooling Time-Series of Cross-Section Data -- Limited Dependent Variables -- Time-Series Analysis. 
520 |a This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in spatial correlation, panel data, limited dependent variables, regression diagnostics, specification testing and time series analysis. Each chapter has a set of theoretical exercises as well as empirical illustrations using real economic applications. These empirical exercises usually replicate a published article using Stata, Eviews as well as SAS. This new sixth edition has been fully revised and updated, and includes new material on limited dependent variables and panel data as well as revision of basic topics like heteroskedasticity, endogeneity, over-identification and specification testing. The author also provides more exercises and empirical examples based on published economic applications. 
650 0 |a Econometrics. 
650 0 |a Statistics . 
650 0 |a Social sciences  |x Mathematics. 
650 1 4 |a Econometrics. 
650 2 4 |a Quantitative Economics. 
650 2 4 |a Statistics in Business, Management, Economics, Finance, Insurance. 
650 2 4 |a Mathematics in Business, Economics and Finance. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783030801489 
776 0 8 |i Printed edition:  |z 9783030801502 
830 0 |a Classroom Companion: Economics,  |x 2662-2890 
856 4 0 |u https://doi.org/10.1007/978-3-030-80149-6 
912 |a ZDB-2-ECF 
912 |a ZDB-2-SXEF 
950 |a Economics and Finance (SpringerNature-41170) 
950 |a Economics and Finance (R0) (SpringerNature-43720)