Introduction To Mathematics For Economics With R
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Introduction To Mathematics For Economics With R
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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.
An Introduction To R For Quantitative Economics
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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.
An Introduction To Mathematical Analysis For Economic Theory And Econometrics
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Author : Dean Corbae
language : en
Publisher: Princeton University Press
Release Date : 2009-02-17
An Introduction To Mathematical Analysis For Economic Theory And Econometrics written by Dean Corbae 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 2009-02-17 with Business & Economics categories.
Providing an introduction to mathematical analysis as it applies to economic theory and econometrics, this book bridges the gap that has separated the teaching of basic mathematics for economics and the increasingly advanced mathematics demanded in economics research today. Dean Corbae, Maxwell B. Stinchcombe, and Juraj Zeman equip students with the knowledge of real and functional analysis and measure theory they need to read and do research in economic and econometric theory. Unlike other mathematics textbooks for economics, An Introduction to Mathematical Analysis for Economic Theory and Econometrics takes a unified approach to understanding basic and advanced spaces through the application of the Metric Completion Theorem. This is the concept by which, for example, the real numbers complete the rational numbers and measure spaces complete fields of measurable sets. Another of the book's unique features is its concentration on the mathematical foundations of econometrics. To illustrate difficult concepts, the authors use simple examples drawn from economic theory and econometrics. Accessible and rigorous, the book is self-contained, providing proofs of theorems and assuming only an undergraduate background in calculus and linear algebra. Begins with mathematical analysis and economic examples accessible to advanced undergraduates in order to build intuition for more complex analysis used by graduate students and researchers Takes a unified approach to understanding basic and advanced spaces of numbers through application of the Metric Completion Theorem Focuses on examples from econometrics to explain topics in measure theory
Mathematics For Economics
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Author : Michael Hoy
language : en
Publisher: MIT Press
Release Date : 2001
Mathematics For Economics written by Michael Hoy and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.
This text offers a presentation of the mathematics required to tackle problems in economic analysis. After a review of the fundamentals of sets, numbers, and functions, it covers limits and continuity, the calculus of functions of one variable, linear algebra, multivariate calculus, and dynamics.
Economics
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Author : C. J. McKenna
language : en
Publisher: Oxford ; Toronto : Oxford University Press
Release Date : 1992
Economics written by C. J. McKenna and has been published by Oxford ; Toronto : Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Econometrics categories.
A textbook aimed at first-year undergraduates in economics, specifically those who are taking a course in mathematics for economists. It provides material on partial differentiation, maximization and matrices and determinants, as well as macroeconomics and
Quantitative Economics With R
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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.
An Introduction To Mathematics For Economics
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Author : Akihito Asano
language : en
Publisher: Cambridge University Press
Release Date : 2012-11-08
An Introduction To Mathematics For Economics written by Akihito Asano and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-08 with Business & Economics categories.
A concise, accessible introduction to maths for economics with lots of practical applications to help students learn in context.
Introduction To Mathematical Economics
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Author : Richard H. Puckett
language : en
Publisher:
Release Date : 1971
Introduction To Mathematical Economics written by Richard H. Puckett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Economics, Mathematical categories.
An Introduction To Data Analysis In R
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Author : Alfonso Zamora Saiz
language : en
Publisher: Springer Nature
Release Date : 2020-07-27
An Introduction To Data Analysis In R written by Alfonso Zamora Saiz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-27 with Computers categories.
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.
Mathematics For Economic Analysis
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Author : Knut Sydsæter
language : en
Publisher: Pearson
Release Date : 1995
Mathematics For Economic Analysis written by Knut Sydsæter and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.
For sophomore-level and above courses in Mathematical Methods, Mathematics for Economists. An introduction to those parts of mathematical analysis and linear algebra which are most important for economists.