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Author: Vikram Dayal Publisher: Springer Nature ISBN: 9811520356 Category : Mathematics Languages : en Pages : 323
Book 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 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.
Author: Vikram Dayal Publisher: Springer Nature ISBN: 9811520356 Category : Mathematics Languages : en Pages : 323
Book 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 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.
Author: Kesra Nermend Publisher: Springer ISBN: 9783030302535 Category : Business & Economics Languages : en Pages : 379
Book Description
Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.
Author: Tomas Kliestik Publisher: MDPI ISBN: 3036505369 Category : Business & Economics Languages : en Pages : 164
Book Description
The purpose of the Special Issue “Quantitative Methods in Economics and Finance” of the journal Risks was to provide a collection of papers that reflect the latest research and problems of pricing complex derivates, simulation pricing, analysis of financial markets, and volatility of exchange rates in the international context. This book can be used as a reference for academicians and researchers who would like to discuss and introduce new developments in the field of quantitative methods in economics and finance and explore applications of quantitative methods in other business areas.
Author: Nicholas Tsounis Publisher: Springer Nature ISBN: 3030981797 Category : Business & Economics Languages : en Pages : 570
Book Description
This volume presents advanced quantitative methods and applications in economics with special interest in macroeconomics, microeconomics, financial economics, international economics, agricultural economics, and marketing and management. Featuring selected contributions from the 2021 International Conference of Applied Economics (ICOAE 2021) held in Heraklion Crete, Greece, this book provides country specific studies with potential applications in economic policy.
Author: Omar O. Chisari Publisher: Edward Elgar Publishing ISBN: 9781782543596 Category : Business & Economics Languages : en Pages : 240
Book Description
Regulatory Economics and Quantitative Methods comprises original contributions by leading researchers working on issues relating to regulation in Latin America. They focus on regulation in infrastructure industries and attempt to show how quantitative analysis can contribute to more effective regulation. In particular, they discuss central issues relating to the measures used for benchmarking natural monopolies, incentives and contractual arrangements used in the regulatory environment and the impact of regulation and regulatory processes.
Author: Brian Haines Publisher: Routledge ISBN: 1351140787 Category : Business & Economics Languages : en Pages : 134
Book Description
Originally published in 1978. This book is designed to enable students on main courses in economics to comprehend literature which employs econometric techniques as a method of analysis, to use econometric techniques themselves to test hypotheses about economic relationships and to understand some of the difficulties involved in interpreting results. While the book is mainly aimed at second-year undergraduates undertaking courses in applied economics, its scope is sufficiently wide to take in students at postgraduate level who have no background in econometrics - it integrates fully the mathematical and statistical techniques used in econometrics with micro- and macroeconomic case studies.
Author: Vikram Dayal Publisher: Springer ISBN: 8132223403 Category : Business & Economics Languages : en Pages : 117
Book Description
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.
Author: Edward E. Leamer Publisher: Routledge ISBN: 1351495224 Category : Business & Economics Languages : en Pages : 209
Book Description
This distinctive book sets forth, on an advanced level, various methods for the quantitative measurement of important relationships at issue in areas of the balance of payments and international trade and welfare. The results achieved in recent studies are presented and the directions for new research are indicated. This book is composed of two main parts.Part I deals with the balance of payments and consists of the first half of the book. One of the longest and almost important chapters of this part talks about, at length the time-series analysis of the demand for imports and exports from the point of view of an individual country. This subject has a long and somewhat checkered history dating from the 1940's, when a number of estimates using least squares multiple regression methods were made of import and export demand functions for the interwar period. The noteworthy feature of many of these estimates was that they suggested relatively low price elasticities of demand in international trade. The implication was thus drawn that the international price mechanism could not be relied on for balance-of payments adjustment purposes.This book talks about the topics of theory and measurement of the elasticity of substitution in international trade, estimating the international capital movements, and forecasting and policy analysis with econometric models. Part II deals with international trade and welfare. While, there are many other books dealing with trade theory, this title focuses on a narrower range of topics that are not always mentioned or understood by individuals, such as the theory and measurement of trade dependence and interdependence, the analysis of the component factors a country has that affects how its export growth is over time, and the welfare effects of trade liberalizationThis book serves as a guide and reference work for economics graduate students, academicians, and practicing economists in private and governmental circles. They will find this book
Author: The Late Frederic S. Lee Publisher: Edward Elgar Publishing ISBN: 1782548467 Category : Business & Economics Languages : en Pages : 629
Book Description
Despite the important methodological critiques of the mainstream offered by heterodox economics, the dominant research method taught in heterodox programmes remains econometrics. This compelling Handbook provides a comprehensive introduction to a range of alternative research methods, invaluable for analysing the data prominent in heterodox studies. Providing a solid basis for a mixed methods approach to economic investigations, the expertly crafted contributions are split into three distinct sections: philosophical foundation and research strategy, research methods and data collection, and applications. Introductions to a host of invaluable methods such as survey, historical, ethnographic, experimental and mixed approaches, together with factor, cluster, complex and social network analytics, are complemented by descriptions of applications in practice. Practical and expansive, this Handbook is highly pertinent for students and scholars of economics, particularly those dedicated to heterodox approaches, as it provides a solid reference for mixed methods not available in mainstream economics research methods courses.
Author: Jerome Adda Publisher: MIT Press ISBN: 0262547880 Category : Business & Economics Languages : en Pages : 297
Book Description
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.
Author: Vikram Dayal
Author: Vikram Dayal
Author: Kesra Nermend
Author: Tomas Kliestik
Author: Nicholas Tsounis
Author: Omar O. Chisari
Author: Brian Haines
Author: Vikram Dayal
Author: Edward E. Leamer
Author: The Late Frederic S. Lee
Author: Jerome Adda