Data analysis for business, economics, and policy

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"This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com."--Nakladatelská anotace … full description

Bibliographic Details

Main Author

Gábor Békés, 1974-

Other Authors

Gábor Kézdi

Document Type

Books

Physical Description

xxiii, 714 stran : ilustrace

Published

Cambridge ; New York : Cambridge University Press, 2021

Subjects

kvantitativní výzkum

sběr dat

analýza dat

ekonometrie

regresní analýza

predikce

kolektivní monografie

quantitative research

data collection

data analysis

econometrics

regression analysis

prediction

collective monographs

Bibliography

Obsahuje bibliografické odkazy a rejstřík

ISBN

978-1-108-71620-8
978-1-108-48301-8