Science & Math | Mathematics
Quantitative Economics with R
2020-05-28 07:19:35
image1
COMPARE PRICE
This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the ... Read more
This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code,  the reader’s R skills are gradually honed, with the help of  “your turn” exercises.  At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the reader will begin using the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operations is also covered. The book uses Monte Carlo simulation to understand probability and statistical inference, and the bootstrap is introduced. Causal inference is illuminated using simulation, data graphs, and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and examples. Lastly, two computationally intensive methods—generalized additive models and random forests (an important and versatile machine learning method)—are introduced intuitively with applications. The book will be of great interest to economists—students, teachers, and researchers alike—who want to learn R. It will help economics students gain an intuitive appreciation of applied economics and enjoy engaging with the material actively, while also equipping them with key data science skills. Less
  • ISBN
  • 9789811520358
autor-image
Anonymous
Author
-...
Compare Prices
image
Buy USD 121.99
Available Discount
12 % OFF
12% off Academic Book Titles (ebooks.com)
Show Coupon Code

See More Details

Description: Back to School Promotion at eBooks.com. 12% off Academic book titles. Landing page is on our academics category page. Static image.

10 % OFF
Save 10% OFF on Student Text Books (ebooks.com)
Show Coupon Code

See More Details

Description: Purchase textbooks at student discounts!

20 % OFF
20% Off on selected Categories
Show Coupon Code

See More Details

Description: 20% Off these Categories- Body Mind & Spirit, Family & Relationships, Foreign Language Study, History, Sports & Recreation. Offer Lasts all through January.

Related Books
view all
image1
Intermediate Algebra & Analytic Geometry:
image1
The King of Infinite Space : Euclid and His Elements:
image1
Analyzing Longitudinal Clinical Trial Data:
image1
College Placement Math Success in 20 Minutes a Day:
image1
The Earliest Arithmetics in English:
image1
99 Variations on a Proof:
image1
Solving Problems in Geometry:
image1
How to Think Like a Mathematician:
image1
A Treatise on Probability:
image1
Trigonometry Essentials Practice Workbook with Answers:
image1
Introduction to Mathematical Philosophy:
image1
Orthogonal Polynomials and Painlevé Equations:
image1
Solutions Manual to accompany Fundamentals of Matrix Analysis with Applications:
image1
The philosophy of mathematics:
image1
College Algebra:
image1
Bayesian Inference for Stochastic Processes:
image1
Probability:
image1
Set Theory An Introduction To Independence Proofs:
image1
Introduction to Lie Groups and Lie Algebra, 51:
image1
Topics in Computational Number Theory Inspired by Peter L. Montgomery:
image1
Deductive Logic:
image1
Time Series Analysis with Long Memory in View:
image1
Applied Linear Algebra:
image1
Mathematical Modeling and Applied Calculus:
image1
An Introduction to Generalized Linear Models:

Stay in touch.

© 2024 AMPLE READS