{ "item_title" : "Using Python for Introductory Econometrics", "item_author" : [" Daniel Brunner", "Florian Heiss "], "item_description" : "Introduces the popular, powerful and free programming language and software package PythonFocus: implementation of standard tools and methods used in econometricsCompatible with Introductory Econometrics by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notationCompanion website with full text, all code for download and other goodiesTopics:A gentle introduction to PythonSimple and multiple regression in matrix form and using black box routinesInference in small samples and asymptoticsMonte Carlo simulationsHeteroscedasticityTime series regressionPooled cross-sections and panel dataInstrumental variables and two-stage least squaresSimultaneous equation modelsLimited dependent variables: binary, count data, censoring, truncation, and sample selectionFormatted reports using Jupyter Notebooks", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/864/843/9798648436763_b.jpg", "price_data" : { "retail_price" : "26.90", "online_price" : "26.90", "our_price" : "26.90", "club_price" : "26.90", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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