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Reproducible econometrics using R /

By: Material type: TextTextSeries: Oxford scholarship onlinePublisher: New York, NY : Oxford University Press, 2019Description: 1 online resource : illustrations (black and white, and colour)Content type:
  • text
  • still image
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780190933647 (ebook) :
Subject(s): Additional physical formats: Print version :: No titleDDC classification:
  • 330.02855133 23
LOC classification:
  • HB139 .R3293 2019
Online resources: Summary: This text is designed to facilitate reproducibility in econometrics. It does so by using open source software (R) and recently developed tools (R Markdown and bookdown) that allow the reader to engage in reproducible research. Illustrative examples are provided throughout, and a range of topics are covered. Assignments, exams, slides, and a solution manual are available for instructors.
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Previously issued in print: 2019.

Includes bibliographical references and index.

This text is designed to facilitate reproducibility in econometrics. It does so by using open source software (R) and recently developed tools (R Markdown and bookdown) that allow the reader to engage in reproducible research. Illustrative examples are provided throughout, and a range of topics are covered. Assignments, exams, slides, and a solution manual are available for instructors.

Specialized.

Description based on online resource; title from home page (viewed on January 9, 2019).

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