Quantitative Economics with R

Quantitative Economics with R: A Data Science Approach

English | PDF | 2020 | 323 Pages | ISBN : 9811520348 | 19.47 MB

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.

Download:

http://longfiles.com/4yni80j1d36p/Quantitative_Economics_with_R_A_Data_Science_Approach.pdf.html

[Fast Download] Quantitative Economics with R


Related eBooks:
Designing an Azure Data Implementation
Data Compression: The Complete Reference
Data Analysis: Statistical and Computational Methods for Scientists and Engineers
Internet of Things and Big Data Analytics for Smart Generation
Resource Management for Internet of Things
Internet of Things and Big Data Technologies for Next Generation Healthcare
Sams Teach Yourself SQL in 24 Hours, 5th Edition
Microsoft BizTalk Server 2004 Unleashed
Engaging Researchers with Data Management : The Cookbook
Oracle Application Server 10g Administration Handbook
SQL Clearly Explained, Third Edition
Introduction to Database Management System, Second Edition
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.