000			01722nam a22003617a 4500
003			MN-UlNUM
005			20220708090512.0
008			220706b2022 xxu||||| |||| 00| 0 eng d
020			_a9798785475472
040			_afirst lib
082			_a330
084			_2Garin awlaga _a65.05+32.973-018 _bC 71 _q65
100			_aColonescu C
240			_a65.05+32.973-018 C 71
245			_aUsing Python for Principles of Econometrics
260			_c2022 _aOrlando
300			_a379
500			_aГФ 20452
505			_aThis is a beginner's guide to applied Econometrics using the free statistics software Python and its extensive collection of packages (modules). The book follows the chapter and topic structure of the Principles of Econometrics textbook by Hill, Griffiths, and Lim, fifth edition (2018), though this guide is to a large extent self-contained. It also follows closely in layout, content, and much of the text the author's previous work Using R for Principles of Econometrics, to make the comparison between R and Python easier for those who are interested in both. Undergraduate students taking an introductory Econometrics course that requires Python may find this resource useful. Some previous computing and statistics knowledge is helpful
546			_aEnglish
653			_aeconomy
653			_aeconomic statistics
653			_aeconomic analysis
653			_aprogramming language
740			_aSimple Linear regression
740			_aHypothesis testing
740			_aPrediction, R-squared, and modeling
740			_aMultiple regression
740			_aFurther inference in regressiom
740			_aUsing indicator variables
740			_aHeteroskedasticity
942			_cBK
999			_c126699 _d126699