A Practical Guide to Using Panel Data

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This timely, thoughtful book provides a clear introduction to using panel data in research.

It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis. Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables.

Using existing data sets and structured as hands-on exercises, each chapter engages with practical issues associated with using data in research. These include:

• Data cleaning
• Data preparation
• Computation of descriptive statistics
• Using sample weights
• Choosing and implementing the right estimator
• Interpreting results
• Preparing final output tables
• Graphical representation
  

Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in research.

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Simonetta Longhi, Alita Nandi-A Practical Guide to Using Panel Data-SAGE Publica.pdf (19 MB, 需要: 1 个论坛币)

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A Practical Guide to Using Panel Data
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Paperback: 344 pages
Publisher: SAGE Publications Ltd (December 19, 2014)
Language: English
ISBN-10: 1446210871
ISBN-13: 978-1446210871
Product Dimensions: 6.7 x 0.8 x 9.5 inches
Shipping Weight: 1.2 pounds
http://www.amazon.com/Practical-Guide-Using-Panel-Data/dp/1446210871/ref=sr_1_1_twi_1_pap?ie=UTF8&qid=1436341062&sr=8-1&keywords=A+Practical+Guide+to+Using+Panel+Data

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关键词：panel data Practical practic Panel Using management structured different describes including

Paperback: 344 pages
Publisher: SAGE Publications Ltd (December 19, 2014)
Language: English
ISBN-10: 1446210871

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A Practical Guide to Using Panel Data [em17]

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This timely, thoughtful book provides a clear introduction to using panel data in research.

It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis. Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables.

Using existing data sets and structured as hands-on exercises, each chapter engages with practical issues associated with using data in research. These include:
Data cleaning
Data preparation
Computation of descriptive statistics
Using sample weights
Choosing and implementing the right estimator

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