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| importance of quantitative analysis in economics: Quantitative Methods in Economics and Finance Tomas Kliestik, Katarina Valaskova, Maria Kovacova, 2021-04-08 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. |
| importance of quantitative analysis in economics: The Quants Scott Patterson, 2010-02-02 With the immediacy of today’s NASDAQ close and the timeless power of a Greek tragedy, The Quants is at once a masterpiece of explanatory journalism, a gripping tale of ambition and hubris, and an ominous warning about Wall Street’s future. In March of 2006, four of the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with million-dollar stakes, but those numbers meant nothing to them. They were accustomed to risking billions. On that night, these four men and their cohorts were the new kings of Wall Street. Muller, Griffin, Asness, and Weinstein were among the best and brightest of a new breed, the quants. Over the prior twenty years, this species of math whiz--technocrats who make billions not with gut calls or fundamental analysis but with formulas and high-speed computers--had usurped the testosterone-fueled, kill-or-be-killed risk-takers who’d long been the alpha males the world’s largest casino. The quants helped create a digitized money-trading machine that could shift billions around the globe with the click of a mouse. Few realized, though, that in creating this unprecedented machine, men like Muller, Griffin, Asness and Weinstein had sowed the seeds for history’s greatest financial disaster. Drawing on unprecedented access to these four number-crunching titans, The Quants tells the inside story of what they thought and felt in the days and weeks when they helplessly watched much of their net worth vaporize--and wondered just how their mind-bending formulas and genius-level IQ’s had led them so wrong, so fast. |
| importance of quantitative analysis in economics: Experimental and Quantitative Methods in Contemporary Economics Kesra Nermend, Małgorzata Łatuszyńska, 2020-10-13 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. |
| importance of quantitative analysis in economics: Quantitative Techniques for Competition and Antitrust Analysis Peter Davis, Eliana Garcés, 2009-11-16 This book combines practical guidance and theoretical background for analysts using empirical techniques in competition and antitrust investigations. Peter Davis and Eliana Garcés show how to integrate empirical methods, economic theory, and broad evidence about industry in order to provide high-quality, robust empirical work that is tailored to the nature and quality of data available and that can withstand expert and judicial scrutiny. Davis and Garcés describe the toolbox of empirical techniques currently available, explain how to establish the weight of pieces of empirical work, and make some new theoretical contributions. The book consistently evaluates empirical techniques in light of the challenge faced by competition analysts and academics--to provide evidence that can stand up to the review of experts and judges. The book's integrated approach will help analysts clarify the assumptions underlying pieces of empirical work, evaluate those assumptions in light of industry knowledge, and guide future work aimed at understanding whether the assumptions are valid. Throughout, Davis and Garcés work to expand the common ground between practitioners and academics. |
| importance of quantitative analysis in economics: Quantitative Social Science Kosuke Imai, Lori D. Bougher, 2021-03-16 The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides |
| importance of quantitative analysis in economics: Quantitative International Economics Edward E. Leamer, Robert M. Stern, 2017-09-04 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 |
| importance of quantitative analysis in economics: Dynamic Economics Jerome Adda, Russell W. Cooper, 2003-08-29 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. |
| importance of quantitative analysis in economics: Quantitative Economics with R Vikram Dayal, 2020-02-03 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. |
| importance of quantitative analysis in economics: Financial Analysis and the Predictability of Important Economic Events Ahmed Riahi-Belkaoui, 1998-07-28 Financial analysis, based on ratio analysis, has been used as a tool for analyzing the financial strength of corporations. Although ratio analysis is generally used as a univariate strategy, the accounting and finance literature has evolved to include multivariate-based models in financial analysis, and these models can be used to explain important economic events and often predict them. Thus, in an exhaustive coverage of the economic events to which they can be applied, Riahi-Belkaoui discusses these models in a way that will have special value to corporate management, financial planners, and to their colleagues in the academic community who specialize in business and economic analysis. |
| importance of quantitative analysis in economics: Valuepack:Quantitative Methods for Business and Economics/Economics for Business and Management:A Student Text/the Business Students Handbook Glyn Burton, George Carroll, Stuart Wall, Alan Griffiths, Sheila Cameron, 2007-11-01 This Value Pack consists of Quantitative Methods for Business and Economics, 2/e by Burton/Carroll/Wall; Economics for Business and Management: A Student Text, 1/e by Griffiths/Wall and The Business Student's Handbook: Skills for Study and Employment, 4/e; 1/e (ISBN: 9781405886895) |
| importance of quantitative analysis in economics: Quantitative Analysis of Newly Evolving Patterns of International Trade Robert Mitchell Stern, 2012 Quantitative Analysis of Newly Evolving Patterns of International Trade offers a variety of perspectives on new forms and developments of international trade and related activities for Japan, the United States, China, and some other important trading countries, to develop new methods and data for measuring the factor contents of emerging new modes of international trade. Such methods and data are crucially important for evaluating impacts of the new modes on factor markets in the United States, Japan, and other major trading countries, and also for forecasting the future development of world trade and foreign direct investment (FDI), evaluating welfare gains from trade, estimating impacts of free trade agreements, and designing effective trade and FDI policies. |
| importance of quantitative analysis in economics: Quantitative Analysis in Financial Markets Marco Avellaneda, 1999 Contains lectures presented at the Courant Institute's Mathematical Finance Seminar. |
| importance of quantitative analysis in economics: The Historiography of Economics Mark Blaug, 1991 This volume focuses on the importance of the history of economic thought as an intellectual discipline. It counters the arguments of some contemporary economists who describe it as studying the mistakes of the past. However, all the great economists - Smith, Ricardo, Marx, Marshall, Keynes and even Milton Friedman - have drawn on the history of economics to find an appropriate pedigree for their own theoretical innovations. This important volume contains high quality articles - written from different perspectives - demonstrating the importance of the history of economic thought. |
| importance of quantitative analysis in economics: An Introduction to R for Quantitative Economics Vikram Dayal, 2015-03-17 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. |
| importance of quantitative analysis in economics: Probability And Statistics For Economists Yongmiao Hong, 2017-11-02 Probability and Statistics have been widely used in various fields of science, including economics. Like advanced calculus and linear algebra, probability and statistics are indispensable mathematical tools in economics. Statistical inference in economics, namely econometric analysis, plays a crucial methodological role in modern economics, particularly in empirical studies in economics.This textbook covers probability theory and statistical theory in a coherent framework that will be useful in graduate studies in economics, statistics and related fields. As a most important feature, this textbook emphasizes intuition, explanations and applications of probability and statistics from an economic perspective. |
| importance of quantitative analysis in economics: The American economic review , 1928 |
| importance of quantitative analysis in economics: Quantitative and Empirical Analysis of Energy Markets Apostolos Serletis, 2007 Bringing together leading-edge research and innovative energy markets econometrics, this book collects the authorOCOs most important recent contributions in energy economics. In particular, the book: . OCo applies recent advances in the field of applied econometrics to investigate a number of issues regarding energy markets, including the theory of storage and the efficient markets hypothesis. OCo presents the basic stylized facts on energy price movements using correlation analysis, causality tests, integration theory, cointegration theory, as well as recently developed procedures for testing for shared and codependent cycles. OCo uses recent advances in the financial econometrics literature to model time-varying returns and volatility in energy prices and to test for causal relationships between energy prices and their volatilities. OCo explores the functioning of electricity markets and applies conventional models of time series analysis to investigate a number of issues regarding wholesale power prices in the western North American markets. OCo applies tools from statistics and dynamical systems theory to test for nonlinear dynamics and deterministic chaos in a number of North American hydrocarbon markets (those of ethane, propane, normal butane, iso-butane, naptha, crude oil, and natural gas). |
| importance of quantitative analysis in economics: The SAGE Handbook of Quantitative Methodology for the Social Sciences David Kaplan, 2004-06-21 Click ′Additional Materials′ for downloadable samples The 24 chapters in this Handbook span a wide range of topics, presenting the latest quantitative developments in scaling theory, measurement, categorical data analysis, multilevel models, latent variable models, and foundational issues. Each chapter reviews the historical context for the topic and then describes current work, including illustrative examples where appropriate. The level of presentation throughout the book is detailed enough to convey genuine understanding without overwhelming the reader with technical material. Ample references are given for readers who wish to pursue topics in more detail. The book will appeal to both researchers who wish to update their knowledge of specific quantitative methods, and students who wish to have an integrated survey of state-of- the-art quantitative methods. —Roger E. Millsap, Arizona State University This handbook discusses important methodological tools and topics in quantitative methodology in easy to understand language. It is an exhaustive review of past and recent advances in each topic combined with a detailed discussion of examples and graphical illustrations. It will be an essential reference for social science researchers as an introduction to methods and quantitative concepts of great use. —Irini Moustaki, London School of Economics, U.K. David Kaplan and SAGE Publications are to be congratulated on the development of a new handbook on quantitative methods for the social sciences. The Handbook is more than a set of methodologies, it is a journey. This methodological journey allows the reader to experience scaling, tests and measurement, and statistical methodologies applied to categorical, multilevel, and latent variables. The journey concludes with a number of philosophical issues of interest to researchers in the social sciences. The new Handbook is a must purchase. —Neil H. Timm, University of Pittsburgh The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource. The handbook is divided into six sections: • Scaling • Testing and Measurement • Models for Categorical Data • Models for Multilevel Data • Models for Latent Variables • Foundational Issues These sections, comprising twenty-four chapters, address topics in scaling and measurement, advances in statistical modeling methodologies, and broad philosophical themes and foundational issues that transcend many of the quantitative methodologies covered in the book. The Handbook is indispensable to the teaching, study, and research of quantitative methods and will enable readers to develop a level of understanding of statistical techniques commensurate with the most recent, state-of-the-art, theoretical developments in the field. It provides the foundations for quantitative research, with cutting-edge insights on the effectiveness of each method, depending on the data and distinct research situation. |
| importance of quantitative analysis in economics: Spationomy Vít Pászto, Carsten Jürgens, Polona Tominc, Jaroslav Burian, 2019-11-06 This open access book is based on Spationomy – Spatial Exploration of Economic Data, an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works. |
| importance of quantitative analysis in economics: New Quantitative Techniques for Economic Analysis G. P. Szegö, 1982 Models and reality; New Quantitative techniques at work; A reappraisal of established methods; Special probles. |
| importance of quantitative analysis in economics: Papers and Proceedings of the ... Annual Meeting of the American Economic Association American Economic Association. Annual Meeting, 1928 |
| importance of quantitative analysis in economics: Elements of Defense Economics Charles Johnston Hitch, Roland N. McKean, 1967 |
| importance of quantitative analysis in economics: Quantitative and Qualitative Methods for Poverty Analysis Walter Odhiambo, John Omiti, David I. Muthaka, 2005 |
| importance of quantitative analysis in economics: The SAGE Encyclopedia of Communication Research Methods Mike Allen, 2017-04-11 Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version. |
| importance of quantitative analysis in economics: Papers and Discussions of the ... Annual Meeting American Economic Association, 1928 |
| importance of quantitative analysis in economics: Advances in Quantitative Analysis of Finance and Accounting Cheng F. Lee, 2006 Annotation. Advances in Quantitative Analysis of Finance and Accounting is an annual publication to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession. The papers in this volume cover a wide range of topics including earnings management, management compensation, option theory and application, debt management and interest rate theory, and portfolio diversification. |
| importance of quantitative analysis in economics: Elements of Defense Economics United States. Joint Chiefs of Staff, 1967 |
| importance of quantitative analysis in economics: Handbook of Research Methods and Applications in Heterodox Economics The Late Frederic S. Lee, Bruce Cronin, 2016-04-29 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. |
| importance of quantitative analysis in economics: Using Stata for Quantitative Analysis Kyle C. Longest, 2014-07-02 Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and health sciences since these fields share a relatively similar approach to quantitative analysis. In this book, author Kyle Longest teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short amount of time. The self-teaching style of this book enables novice Stata users to complete a basic quantitative research project from start to finish. The Second Edition covers the use of Stata 13 and can be used on its own or as a supplement to a research methods or statistics textbook. |
| importance of quantitative analysis in economics: Papers and Proceedings of the Annual Meeting American Economic Association, 1918 |
| importance of quantitative analysis in economics: The Journal of Political Economy , 1927 Deals with research and scholarship in economic theory. Presents analytical, interpretive, and empirical studies in the areas of monetary theory, fiscal policy, labor economics, planning and development, micro- and macroeconomic theory, international trade and finance, and industrial organization. Also covers interdisciplinary fields such as history of economic thought and social economics. |
| importance of quantitative analysis in economics: Numerical Methods in Economics Kenneth L. Judd, 2023-04-04 To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyses. The book is divided into five parts. Part I provides a general introduction. Part II presents basics from numerical analysis on R^n, including linear equations, iterative methods, optimization, nonlinear equations, approximation methods, numerical integration and differentiation, and Monte Carlo methods. Part III covers methods for dynamic problems, including finite difference methods, projection methods, and numerical dynamic programming. Part IV covers perturbation and asymptotic solution methods. Finally, Part V covers applications to dynamic equilibrium analysis, including solution methods for perfect foresight models and rational expectation models. A website contains supplementary material including programs and answers to exercises. |
| importance of quantitative analysis in economics: Handbook of Empirical Economics and Finance Aman Ullah, David E. A. Giles, 2016-04-19 Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data. Well-recognized econometric experts discuss the rapidly growing research in economics and finance and offer insight on the future direction of these fields. Focusing on micro models, the first group of chapters describes the statistical issues involved in the analysis of econometric models with cross-sectional data often arising in microeconomics. The book then illustrates time series models that are extensively used in empirical macroeconomics and finance. The last set of chapters explores the types of panel data and spatial models that are becoming increasingly significant in analyzing complex economic behavior and policy evaluations. This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. It emphasizes inferential issues that transpire in the analysis of cross-sectional, time series, and panel data-based empirical models in economics, finance, and related disciplines. |
| importance of quantitative analysis in economics: Technological Economics Shoubo Xu, 2020-10-26 This book creatively puts forward the subject nature, object, system, theory, method and application of technical economics, and brings together the research achievements of 50 years, especially the latest research results. It is of great significance for the development of China's technical and economic disciplines and the cultivation of special talents for technical and economic development. It is of great significance for the solution of major technical and economic problems in economic and social development, and has a landmark significance in the history of world technical economics. The book can be used as teaching material for both the liberal arts, science and engineering students within higher education institutions, and as a leading cadre training source for engineers. Furthermore, it can facilitate readers engaged in policy making, program planning, macro control, evaluation of investment decision, feasibility studies, project with aspects such as government, consulting companies, banks, and financial personnel needs. Also this book can aid readers with engineering design, product development, business management, as well as with the needs of engineering and technical personnel and enterprise management personnel. |
| importance of quantitative analysis in economics: Tinbergen and Modern Economics K. Puttaswamaiah, 1996 Collection of articles on the economic theory of Jan Tinbergen, b. 1903, Dutch economist. |
| importance of quantitative analysis in economics: Quantitative Development Policy Analysis Elisabeth Sadoulet, 1995 |
| importance of quantitative analysis in economics: Business Economics Rob Dransfield, 2013-08-20 The Eurozone crisis and the age of austerity, as well as challenges to the environment as a result of economic growth have highlighted the need for a greater understanding of those facets of economics that are of most use to businesses and their decision makers. This book introduces all of the relevant theoretical aspects of the subject and applies them to real-life examples of economics that are of particular interest to students today, including: the impact of globalization; the way in which ‘green’ perspectives can be built into decision making and how the financial crisis has challenged economists, politicians and business people to rethink their existing ideas. Replete with illuminating case studies, and benefitting from features such as activities, review questions and further reading, Business Economics introduces the theory and practice of economics for non-specialist students new to the topic. |
| importance of quantitative analysis in economics: SAGE Quantitative Research Methods W Paul Vogt, 2011-01-01 For more than 40 years, SAGE has been one of the leading international publishers of works on quantitative research methods in the social sciences. This new collection provides readers with a representative sample of the best articles in quantitative methods that have appeared in SAGE journals as chosen by W. Paul Vogt, editor of other successful major reference collections such as Selecting Research Methods (2008) and Data Collection (2010). The volumes and articles are organized by theme rather than by discipline. Although there are some discipline-specific methods, most often quantitative research methods cut across disciplinary boundaries. Volume One: Fundamental Issues in Quantitative Research Volume Two: Measurement for Causal and Statistical Inference Volume Three: Alternatives to Hypothesis Testing Volume Four: Complex Designs for a Complex World |
| importance of quantitative analysis in economics: Economics David A. Dieterle, 2017-03-27 A comprehensive four-volume resource that explains more than 800 topics within the foundations of economics, macroeconomics, microeconomics, and global economics, all presented in an easy-to-read format. As the global economy becomes increasingly complex, interconnected, and therefore relevant to each individual, in every country, it becomes more important to be economically literate—to gain an understanding of how things work beyond the microcosm of the economic needs of a single individual or family unit. This expansive reference set serves to establish basic economic literacy of students and researchers, providing more than 800 objective and factually driven entries on all the major themes and topics in economics. Written by leading scholars and practitioners, the set provides readers with a framework for understanding economics as mentioned and debated in the public forum and media. Each of the volumes includes coverage of important events throughout economic history, biographies of the major economists who have shaped the world of economics, and highlights of the legislative acts that have shaped the U.S. economy throughout history. The extensive explanations of major economic concepts combined with selected key historical primary source documents and a glossary will endow readers with a fuller comprehension of our economic world. |
| importance of quantitative analysis in economics: Real Property in Australia Michael J. Hefferan, 2020-08-17 Real property in the form of investment, ownership and use pervades almost every aspect of daily lives and represents over 40% of Australia’s wealth. Such assets do not exist in isolation – they are dynamic and forever evolving, impacted by a range of physical, economic, demographic, legal and other forces. Consequently, a true appreciation of individual assets and of the property sector as a whole demands an understanding of both the assets themselves and the context and markets in which they exist. The sector is complex and, on the face of it, confusing. It is however, not without logic and underlying themes and principles. This book provides a wider understanding of how the real property sector works. It covers topics such as the nature of real property and its functions, economic drivers, valuation principles, legal and tenure parameters, property taxation, land development and subdivision, asset and property management and sustainability – all critical components in this complex and critically important sector. It provides a wide and balanced perspective for experienced practitioners, investors, students and anyone involved in property decision-making or wishing to secure a deeper understanding of these areas. The book integrates research-based theory with practical application and first-hand insights into a sector that underpins the Australian economy, its communities and its sustainability. |
432 Synonyms & Antonyms for IMPORTANCE | Thesaurus.com
Find 432 different ways to say IMPORTANCE, along with antonyms, related words, and example sentences at Thesaurus.com.
IMPORTANCE Definition & Meaning - Merriam-Webster
The meaning of IMPORTANCE is the quality or state of being important : consequence. How to use importance in a sentence. Synonym Discussion of Importance.
IMPORTANCE | definition in the Cambridge English Dictionary
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importance noun - Definition, pictures, pronunciation and usage …
Definition of importance noun in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
IMPORTANCE definition and meaning | Collins English Dictionary
The importance of something is its quality of being significant, valued, or necessary in a particular situation.
Importance - definition of importance by The Free Dictionary
Importance is the most general term: the importance of a proper diet. Consequence is especially applicable to persons or things of notable rank or position (scholars of consequence) and to …
What does Importance mean? - Definitions.net
Importance refers to the quality or state of being significant, consequential, or having great value, relevance or influence. It is often used to indicate something that needs to be given attention …
importance - Wiktionary, the free dictionary
5 days ago · importance (countable and uncountable, plural importances) The quality or condition of being important or worthy of note. significance or prominence. personal status or standing. …
Importance - Wikipedia
Importance is a property of entities that matter or make a difference. For example, World War II was an important event and Albert Einstein was an important person because of how they …
Importance Definition & Meaning | Britannica Dictionary
IMPORTANCE meaning: the quality or state of being important value or significance
432 Synonyms & Antonyms for IMPORTANCE | Thesaurus.com
Find 432 different ways to say IMPORTANCE, along with antonyms, related words, and example sentences at Thesaurus.com.
IMPORTANCE Definition & Meaning - Merriam-Webster
The meaning of IMPORTANCE is the quality or state of being important : consequence. How to use importance in a sentence. Synonym Discussion of Importance.
IMPORTANCE | definition in the Cambridge English Dictionary
I'd just like to stress the importance of neatness and politeness in this job. It's a country which places great importance on …
importance noun - Definition, pictures, pronunciation and usag…
Definition of importance noun in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
IMPORTANCE definition and meaning | Collins English Dictionary
The importance of something is its quality of being significant, valued, or necessary in a particular situation.
