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020 _a9783031531422
_9978-3-031-53142-2
024 7 _a10.1007/978-3-031-53142-2
_2doi
050 4 _aHB139-141
072 7 _aKCH
_2bicssc
072 7 _aBUS021000
_2bisacsh
072 7 _aKCH
_2thema
100 1 _aKarlsen Kivedal, Bjørnar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_975461
245 1 0 _aApplied Statistics and Econometrics
_h[electronic resource] :
_bBasic Topics and Tools with Gretl and R /
_cby Bjørnar Karlsen Kivedal.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Palgrave Macmillan,
_c2024.
300 _aXVIII, 246 p. 218 illus., 211 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. Introduction 2 -- Start using Gretl and R 3 -- Basic Material 4 -- Hypothesis testing 5 -- Simple linear regression 6 -- Multiple regression 7 -- Regression using dummy variables 8 -- Non linear models 9 -- Time series analysis 10 -- Other statistical tools.
520 _aThis accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students. It covers key topics in econometrics by using step-by-step examples in Gretl and R, providing a guide to using statistical software and the tools for econometric analysis in one self-contained resource. Taking a concise, non-technical approach, the book covers topics including simple regression and hypothesis testing, multiple regression with control variables and isolating effects, instrumental variables, dummy variables, non-linear effects, probability models, heteroskedasticity, time series analysis, and other applied statistical tools such as t-tests and chi squared tests. The book uses small data sets to easily facilitate students’ transition from manual statistical calculations to using and understanding statistical software, including step-by-step examples of regression analysis, as well as additional chapters to aid with econometric notation and mathematical prerequisites, and accompanying online exercises and data sets. This book will be a valuable resource for upper undergraduate students taking courses in introductory econometrics and statistics, as well as students in business administration and other fields of study in social sciences utilising quantitative methods. Graduate students may also benefit from the book. Bjørnar Karlsen Kivedal is a Professor at the Faculty of Computer Science, Engineering and Economics at Østfold University College, Norway. He has over 15 years' experience of teaching statistics, mathematics and econometrics. He is also a researcher at Housing Lab at Oslo Metropolitan University.
650 0 _aEconometrics.
_957695
650 0 _aStatistics .
_965982
650 1 4 _aEconometrics.
_957695
650 2 4 _aApplied Statistics.
_965986
650 2 4 _aQuantitative Economics.
_970330
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031531415
776 0 8 _iPrinted edition:
_z9783031531439
856 4 0 _uhttps://doi.org/10.1007/978-3-031-53142-2
912 _aZDB-2-ECF
912 _aZDB-2-SXEF
999 _c59249
_d59249