Studies In Quantitative Macroeconomics
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| Author | : Vikram Dayal |
| Publisher | : Springer Nature |
| Total Pages | : 323 |
| Release | : 2020-02-03 |
| Genre | : Mathematics |
| ISBN | : 9811520356 |
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 | : Brian Haines |
| Publisher | : Routledge |
| Total Pages | : 134 |
| Release | : 2018-04-09 |
| Genre | : Business & Economics |
| ISBN | : 1351140787 |
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 | : Jerome Adda |
| Publisher | : MIT Press |
| Total Pages | : 297 |
| Release | : 2023-05-09 |
| Genre | : Business & Economics |
| ISBN | : 0262547880 |
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 | : Tomas Kliestik |
| Publisher | : MDPI |
| Total Pages | : 164 |
| Release | : 2021-04-08 |
| Genre | : Business & Economics |
| ISBN | : 3036505369 |
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 | : Vikram Dayal |
| Publisher | : Springer |
| Total Pages | : 117 |
| Release | : 2015-03-17 |
| Genre | : Business & Economics |
| ISBN | : 8132223403 |
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 | : Nigar Hashimzade |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 627 |
| Release | : 2013-01-01 |
| Genre | : Business & Economics |
| ISBN | : 0857931024 |
This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading. Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalised method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macro and econometrics.
| Author | : Daron Acemoglu |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2010-07 |
| Genre | : Macroeconomics |
| ISBN | : 9780226002095 |
The NBER Macroeconomics Annual provides a forum for important debates in contemporary macroeconomics and major developments in the theory of macroeconomic analysis and policy that include leading economists from a variety of fields. The papers and accompanying discussions in NBER Macroeconomics Annual 2009 address how heterogeneous beliefs interact with equilibrium leverage and potentially lead to leverage cycles, the validity of alternative hypotheses about the reason for the recent increase in foreclosures on residential mortgages, the credit rating crisis, quantitative implications for the evolution of the U.S. wage distribution, and noisy business cycles.
| Author | : Katerina Petchko |
| Publisher | : Academic Press |
| Total Pages | : 474 |
| Release | : 2018-07-12 |
| Genre | : Business & Economics |
| ISBN | : 0128130113 |
How to Write about Economics and Public Policy is designed to guide graduate students through conducting, and writing about, research on a wide range of topics in public policy and economics. This guidance is based upon the actual writing practices of professional researchers in these fields and it will appeal to practitioners and students in disciplinary areas such as international economics, macroeconomics, development economics, public finance, policy studies, policy analysis, and public administration. Supported by real examples from professional and student writers, the book helps students understand what is expected of writers in their field and guides them through choosing a topic for research to writing each section of the paper. This book would be equally effective as a classroom text or a self-study resource. - Teaches students how to write about qualitative and quantitative research in public policy and economics in a way that is suitable for academic consumption and that can drive public policy debates - Uses the genre-based approach to writing to teach discipline-appropriate ways of framing problems, designing studies, and writing and structuring content - Includes authentic examples written by students and international researchers from various sub-disciplines of economics and public policy - Contains strategies and suggestions for textual analysis of research samples to give students an opportunity to practice key points explained in the book - Is based on a comprehensive analysis of a research corpus containing 400+ research articles in various areas of public policy and economics
| Author | : Peter Fuleky |
| Publisher | : Springer Nature |
| Total Pages | : 716 |
| Release | : 2019-11-28 |
| Genre | : Business & Economics |
| ISBN | : 3030311503 |
This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.
| Author | : John Howland Cochrane |
| Publisher | : |
| Total Pages | : |
| Release | : 2020 |
| Genre | : Monetary policy |
| ISBN | : 9780817923785 |
"As the Federal Reserve reviews its monetary policy strategy, key experts provide an in-depth discussion of the financial tools, debates, and practices that will ensure a sound US economy"--
