Synopsis
- Introduces the popular, powerful and free programming language and software package Python
- Focus: implementation of standard tools and methods used in econometrics
- Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation
- Companion website with full text, all code for download and other goodies
Topics:
- A gentle introduction to Python
- Simple and multiple regression in matrix form and using black box routines
- Inference in small samples and asymptotics
- Monte Carlo simulations
- Heteroscedasticity
- Time series regression
- Pooled cross-sections and panel data
- Instrumental variables and two-stage least squares
- Simultaneous equation models
- Limited dependent variables: binary, count data, censoring, truncation, and sample selection
- Formatted reports using Jupyter Notebooks
"synopsis" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798648436763