Quantitative Economics with R Ebook Tooltip A Data Science Approach

Afbeeldingen

Artikel vergelijken

  • Engels
  • E-book
  • 9789811520358
  • 03 februari 2020
  • Adobe ePub
Alle productspecificaties
  • Je leest ebooks gemakkelijk op je Kobo e-reader, of op je smartphone of tablet met de bol.com Kobo app. Let op! Ebooks kunnen niet geannuleerd of geretourneerd worden.

Samenvatting

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.

Productspecificaties

Inhoud

Taal
en
Bindwijze
E-book
Oorspronkelijke releasedatum
03 februari 2020
Ebook Formaat
Adobe ePub
Illustraties
Nee

Betrokkenen

Hoofdauteur
Vikram Dayal
Hoofduitgeverij
Springer

Lees mogelijkheden

Lees dit ebook op
Desktop (Mac en Windows) | Kobo e-reader | Android (smartphone en tablet) | iOS (smartphone en tablet) | Windows (smartphone en tablet)

Overige kenmerken

Studieboek
Ja

EAN

EAN
9789811520358
Nog geen reviews

Kies gewenste uitvoering

Prijsinformatie en bestellen

De prijs van dit product is 79 euro.
Direct beschikbaar
Verkoop door bol
  • E-book is direct beschikbaar na aankoop
  • E-books lezen is voordelig
  • Dag en nacht klantenservice
  • Veilig betalen
Houd er rekening mee dat je downloadartikelen niet kunt annuleren of retourneren. Bij nog niet verschenen producten kun je tot de verschijningsdatum annuleren.
Zie ook de retourvoorwaarden