Quantitative Economics With R
DOWNLOAD
Download Quantitative Economics With R PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Quantitative Economics With R book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Quantitative Economics With R
DOWNLOAD
Author : Vikram Dayal
language : en
Publisher: Springer Nature
Release Date : 2020-02-03
Quantitative Economics With R written by Vikram Dayal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-03 with Mathematics categories.
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.
Quantitative Economics With R
DOWNLOAD
Author : Vikram Dayal
language : en
Publisher: Springer
Release Date : 2021-02-04
Quantitative Economics With R written by Vikram Dayal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-04 with Mathematics categories.
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.
An Introduction To R For Quantitative Economics
DOWNLOAD
Author : Vikram Dayal
language : en
Publisher: Springer
Release Date : 2015-03-17
An Introduction To R For Quantitative Economics written by Vikram Dayal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-17 with Business & Economics categories.
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.
Quantitative Methods For Economists
DOWNLOAD
Author : R. Veerachamy
language : en
Publisher: New Age International
Release Date : 2008
Quantitative Methods For Economists written by R. Veerachamy and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
About the Book: The revised second edition thoroughly explains the basic methods and techniques involved in mathematical analysis of economic phenomena. Statistical methods have been emphasized. Numerous new concepts, solved examples and illustrative practice problems have been included throughout the book. In addition, few new chapters have been added to enrich the quality of text as well. About the Author: Dr. R. Veerachamy was formerly Professor and Chairman in the Department of Economics, Bangalore University, Bangalore. He has put in 37 years of teaching on Quantitative Techniques for both Economics and Management students. His book "Quantitative Methods for Economists" is a very popular text among student community all over the country. Since 1973 he is handling the paper "Quantitative Methods for Economists" for the postgraduate students in Bangalore University. He has obtained his MSc. degree in Mathematical Economics from Madurai Kamaraj University and also has MA Economics degree as well from the same University to his credit. He is a First Rank Gold Medalist in Econometrics. He received his Ph.D. in the area of International Economics from Bangalore University. He has contributed research papers/articles in several journals of repute. He has vast experience in curriculum development for both MA and MBA courses. Currently he is working as a Professor, Department of Management Studies, East Point College of Higher Education, Bangalore.
Applied Econometrics With R
DOWNLOAD
Author : Christian Kleiber
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-10
Applied Econometrics With R written by Christian Kleiber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-10 with Business & Economics categories.
R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.
Introduction To Mathematics For Economics With R
DOWNLOAD
Author : Massimiliano Porto
language : en
Publisher: Springer Nature
Release Date : 2022-09-03
Introduction To Mathematics For Economics With R written by Massimiliano Porto and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-03 with Business & Economics categories.
This book provides a practical introduction to mathematics for economics using R software. Using R as a basis, this book guides the reader through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with a rudimentary introduction to R and progressing through exercises that require the reader to code their own functions in R. All chapters include applications for topics in economics and econometrics. As fully reproducible book, this volume gives readers the opportunity to learn by doing and develop research skills as they go. As such, it is appropriate for students in economics and econometrics.
Quantitative Social Science
DOWNLOAD
Author : Kosuke Imai
language : en
Publisher: Princeton University Press
Release Date : 2021-03-16
Quantitative Social Science written by Kosuke Imai and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-16 with Political Science categories.
"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--
Dynamic Economics
DOWNLOAD
Author : Jerome Adda
language : en
Publisher: MIT Press
Release Date : 2003-08-29
Dynamic Economics written by Jerome Adda and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-29 with Business & Economics categories.
An integrated approach to the empirical application of dynamic optimization programming models, for students and researchers. This book is an effective, concise text for students and researchers that combines the tools of dynamic programming with numerical techniques and simulation-based econometric methods. Doing so, it bridges the traditional gap between theoretical and empirical research and offers an integrated framework for studying applied problems in macroeconomics and microeconomics. In part I the authors first review the formal theory of dynamic optimization; they then present the numerical tools and econometric techniques necessary to evaluate the theoretical models. In language accessible to a reader with a limited background in econometrics, they explain most of the methods used in applied dynamic research today, from the estimation of probability in a coin flip to a complicated nonlinear stochastic structural model. These econometric techniques provide the final link between the dynamic programming problem and data. Part II is devoted to the application of dynamic programming to specific areas of applied economics, including the study of business cycles, consumption, and investment behavior. In each instance the authors present the specific optimization problem as a dynamic programming problem, characterize the optimal policy functions, estimate the parameters, and use models for policy evaluation. The original contribution of Dynamic Economics: Quantitative Methods and Applications lies in the integrated approach to the empirical application of dynamic optimization programming models. This integration shows that empirical applications actually complement the underlying theory of optimization, while dynamic programming problems provide needed structure for estimation and policy evaluation.
R In Finance And Economics A Beginner S Guide
DOWNLOAD
Author : Abhay Kumar Singh
language : en
Publisher: World Scientific Publishing Company
Release Date : 2016-11-07
R In Finance And Economics A Beginner S Guide written by Abhay Kumar Singh and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-07 with Business & Economics categories.
This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples.
Quantitative Finance With R And Cryptocurrencies
DOWNLOAD
Author : Dean Fantazzini
language : en
Publisher: Independently Published
Release Date : 2019-05-20
Quantitative Finance With R And Cryptocurrencies written by Dean Fantazzini and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with categories.
The main objective of this book is to provide the necessary background to analyze cryptocurrencies markets and prices. To this end, the book consists of three parts: the first one is devoted to cryptocurrencies markets and explains how to retrieve cryptocurrencies data, how to compute liquidity measures with these data, how to calculate bounds for Bitcoin (and cryptocurrencies) fundamental value and how competing exchanges contribute to the price discovery process in the Bitcoin market. The second part is devoted to time series analysis with cryptocurrencies and presents a large set of univariate and multivariate time series models, tests for financial bubbles and explosive price behavior, as well as univariate and multivariate volatility models. The third part focuses on risk and portfolio management with cryptocurrencies and shows how to measure and backtest market risk, how to build an optimal portfolio according to several approaches, how to compute the probability of closure/bankruptcy of a crypto-exchange, and how to compute the probability of death of crypto-assets.All the proposed methods are accompanied by worked-out examples in R using the packages bitcoinFinance and bubble.This book is intended for both undergraduate and graduate students in economics, finance and statistics, financial and IT professionals, researchers and anyone interested in cryptocurrencies financial modelling. Readers are assumed to have a background in statistics and financial econometrics, as well as a working knowledge of R software.