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Econometric Tools for Panel Data - Malika Neifar - Bog

Econometric Tools for Panel Dataaf Malika Neifar
Bag om Econometric Tools for Panel Data

This book on Panel data econometrics is for graduate students from institutes, schools and faculties of economics and management. It can also be very useful for any teacher or business practiciens (bank, ministry, hospital, etc). It is an ideal textbook for a first course in panel analysis and modeling. The book starts with an outline of some ratio related to bank financial activity and of prices for stock market situation, and gives analysis tools to the use for panel data treatment. Then, some techniques and models are presented including linear static and dynamic models dealing with stationary and non-stationary data and binary dependent variable approaches. Along the way, real case studies are presented in each chapter of relevant financial applications from fresh investigations using STATA and/or Eviews packages. Sample instructions or codes are also given for the software package.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9786205630051
  • Indbinding:
  • Paperback
  • Sideantal:
  • 240
  • Udgivet:
  • 5. januar 2023
  • Størrelse:
  • 150x15x220 mm.
  • Vægt:
  • 375 g.
  • 2-3 uger.
  • 13. december 2024
På lager

Normalpris

  • BLACK WEEK

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Econometric Tools for Panel Data

This book on Panel data econometrics is for graduate students from institutes, schools and faculties of economics and management. It can also be very useful for any teacher or business practiciens (bank, ministry, hospital, etc). It is an ideal textbook for a first course in panel analysis and modeling. The book starts with an outline of some ratio related to bank financial activity and of prices for stock market situation, and gives analysis tools to the use for panel data treatment. Then, some techniques and models are presented including linear static and dynamic models dealing with stationary and non-stationary data and binary dependent variable approaches. Along the way, real case studies are presented in each chapter of relevant financial applications from fresh investigations using STATA and/or Eviews packages. Sample instructions or codes are also given for the software package.

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