03359nam a22004095i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001400153072001600167072002300183072001500206100008800221245013800309250001800447264007900465300006900544336002600613337002600639338003600665347002400701505026600725520167400991650001802665650001802683650001802701650002402719650002802743710003402771773002602805776003602831776003602867856004602903978-3-031-53142-2DE-He21320251030112002.0cr nn 008mamaa240421s2024    sz |    s    |||| 0|eng d  a97830315314227 a10.1007/978-3-031-53142-22doi 4aHB139-141 7aKCH2bicssc 7aBUS0210002bisacsh 7aKCH2thema1 aKarlsen Kivedal, Bjørnar.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aApplied Statistics and Econometricsh[electronic resource] :bBasic Topics and Tools with Gretl and R /cby Bjørnar Karlsen Kivedal.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Palgrave Macmillan,c2024.  aXVIII, 246 p. 218 illus., 211 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 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.  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. 0aEconometrics. 0aStatistics .14aEconometrics.24aApplied Statistics.24aQuantitative Economics.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303153141508iPrinted edition:z978303153143940uhttps://doi.org/10.1007/978-3-031-53142-2