Quantitative Economics with R: A Data Science Approach - Image 1

£55.60

Springer Quantitative Economics with R: A Data Science Approach

Name: Quantitative Economics with R: A Data Science Approach
Brand: Springer
Price: 55.6 GBP
Availability: InStock

Econometrics

Price History & Forecast

Last 4 days • 4 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 4 days • 1 price levels

Days at Price

Price Analysis

Most common price: £56 (4 days, 100.0%)

Price range: £56 - £56

Price levels: 1 different prices over 4 days

Description

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 inferenceis 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.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 9811520372
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 04 February 2021
Listed Since: 08 January 2021

Barcode

No barcode data available

Springer Quantitative Economics with R: A Data Science Approach

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Hands-on Intermediate Econometrics Using R: Templates For Learning Quantitative Methods And R Software: Templates for Learning Quantitative Methods and R Software (Second Edition)

Hands-on Intermediate Econometrics Using R: Templates For Learning Quantitative Methods And R Software: Templates for Learning Quantitative Methods and R Software (Second Edition)

Data Analysis for Social Science: A Friendly and Practical Introduction

An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)

R for Political Data Science: A Practical Guide (Chapman & Hall/CRC The R Series)

CRC Press R for Political Data Science: A Practical Guide

Exploring Data Science with R and the Tidyverse: A Concise Introduction

Financial, Macro and Micro Econometrics Using R: Volume 42 (Handbook of Statistics, Volume 42)

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Quantitative Social Science: An Introduction in tidyverse

Tidy Finance with R (Chapman & Hall/CRC The R Series)

Fundamentals of Causal Inference: With R (Chapman & Hall/CRC Texts in Statistical Science)

Statistics and Data with R: An Applied Approach Through Examples

R in Finance and Economics: A Beginner's Guide

Probability, Statistics, and Data: A Fresh Approach Using R (Chapman & Hall/CRC Texts in Statistical Science)

Quantitative Social Science: An Introduction

Princeton University Press - Quantitative Social Science (tidyverse)

Data Analytics for the Social Sciences: Applications in R

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)

Computational Statistics: An Introduction to R

R Programming: Statistical Data Analysis in Research

Introduction to Data Science: Data Wrangling and Visualization with R (Chapman & Hall/CRC Data Science Series)

Data Analytics for the Social Sciences: Applications in R