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Author: Mary S. Morgan
Publisher: Cambridge University Press
Published: 1990
Total Pages: 318
ISBN-13: 9780521424653
DOWNLOAD EBOOKThis book illustrates how economists first learnt to harness statistical methods to measure and test the 'laws' of economics.
Author: Morgan
Publisher:
Published: 1995
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: David F. Hendry
Publisher: Cambridge University Press
Published: 1997-02-20
Total Pages: 582
ISBN-13: 9780521588706
DOWNLOAD EBOOKCollection of classic papers by pioneer econometricians
Author: Ronald G. Bodkin
Publisher: Aldershot, Hants, England : E. Elgar
Published: 1991
Total Pages: 600
ISBN-13:
DOWNLOAD EBOOKThis major book presents, for the first time, an authoritative history of developments in macroeconometric modelling since the 1930s. It focuses in particular on the construction of mathematico-statistical models of entire economies, estimated from national accounts and other macroeconomic data. International and comparative in scope, the book contains chapters prepared by specialists from the different countries concerned. This landmark book is indispensable to an understanding of the history and development of large scale econometric models of modern economies.
Author: Dean Corbae
Publisher: Princeton University Press
Published: 2009-02-17
Total Pages: 696
ISBN-13: 1400833086
DOWNLOAD EBOOKProviding 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
Author: John Stachurski
Publisher: MIT Press
Published: 2016-07-29
Total Pages: 449
ISBN-13: 0262337460
DOWNLOAD EBOOKA concise treatment of modern econometrics and statistics, including underlying ideas from linear algebra, probability theory, and computer programming. This book offers a cogent and concise treatment of econometric theory and methods along with the underlying ideas from statistics, probability theory, and linear algebra. It emphasizes foundations and general principles, but also features many solved exercises, worked examples, and code listings. After mastering the material presented, readers will be ready to take on more advanced work in different areas of quantitative economics and to understand papers from the econometrics literature. The book can be used in graduate-level courses on foundational aspects of econometrics or on fundamental statistical principles. It will also be a valuable reference for independent study. One distinctive aspect of the text is its integration of traditional topics from statistics and econometrics with modern ideas from data science and machine learning; readers will encounter ideas that are driving the current development of statistics and increasingly filtering into econometric methodology. The text treats programming not only as a way to work with data but also as a technique for building intuition via simulation. Many proofs are followed by a simulation that shows the theory in action. As a primer, the book offers readers an entry point into the field, allowing them to see econometrics as a whole rather than as a profusion of apparently unrelated ideas.
Author: Matthias Blum
Publisher: Springer
Published: 2018-12-08
Total Pages: 476
ISBN-13: 3319965689
DOWNLOAD EBOOKWithout economic history, economics runs the risk of being too abstract or parochial, of failing to notice precedents, trends and cycles, of overlooking the long-run and thus misunderstanding ‘how we got here’. Recent financial and economic crises illustrate spectacularly how the economics profession has not learnt from its past. This important and unique book addresses this problem by demonstrating the power of historical thinking in economic research. Concise chapters guide economics lecturers and their students through the field of economic history, demonstrating the use of historical thinking in economic research, and advising them on how they can actively engage with economic history in their teaching and learning. Blum and Colvin bring together important voices in the field to show readers how they can use their existing economics training to explore different facets of economic history. Each chapter introduces a question or topic, historical context or research method and explores how they can be used in economics scholarship and pedagogy. In a century characterised to date by economic uncertainty, bubbles and crashes, An Economist’s Guide to Economic History is essential reading. For further information visit http://www.blumandcolvin.org
Author: Robert C. Allen
Publisher: OUP Oxford
Published: 2011-09-15
Total Pages: 192
ISBN-13: 019162053X
DOWNLOAD EBOOKWhy are some countries rich and others poor? In 1500, the income differences were small, but they have grown dramatically since Columbus reached America. Since then, the interplay between geography, globalization, technological change, and economic policy has determined the wealth and poverty of nations. The industrial revolution was Britain's path breaking response to the challenge of globalization. Western Europe and North America joined Britain to form a club of rich nations by pursuing four polices-creating a national market by abolishing internal tariffs and investing in transportation, erecting an external tariff to protect their fledgling industries from British competition, banks to stabilize the currency and mobilize domestic savings for investment, and mass education to prepare people for industrial work. Together these countries pioneered new technologies that have made them ever richer. Before the Industrial Revolution, most of the world's manufacturing was done in Asia, but industries from Casablanca to Canton were destroyed by western competition in the nineteenth century, and Asia was transformed into 'underdeveloped countries' specializing in agriculture. The spread of economic development has been slow since modern technology was invented to fit the needs of rich countries and is ill adapted to the economic and geographical conditions of poor countries. A few countries - Japan, Soviet Russia, South Korea, Taiwan, and perhaps China - have, nonetheless, caught up with the West through creative responses to the technological challenge and with Big Push industrialization that has achieved rapid growth through investment coordination. Whether other countries can emulate the success of East Asia is a challenge for the future. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Author: Duo Qin
Publisher: Oxford University Press
Published: 1997
Total Pages: 225
ISBN-13: 0198292872
DOWNLOAD EBOOKDuo Qin has produced a study of a crucial period in the history of econometrics. She analyses the development of the theory and methodology between 1930 and 1960, arguing in particular that the "probability revolution" of the 1940s was incomplete, and resulted in later problems.
Author: Ivan Moscati
Publisher:
Published: 2019
Total Pages: 345
ISBN-13: 0199372764
DOWNLOAD EBOOKUtility is a key concept in the economics of individual decision-making. However, utility is not measurable in a straightforward way. As a result, from the very beginning there has been debates about the meaning of utility as well as how to measure it. This book is an innovative investigation of how these arguments changed over time. Measuring Utility reconstructs economists' ideas and discussions about utility measurement from 1870 to 1985, as well as their attempts to measure utility empirically. The book brings into focus the interplay between the evolution of utility analysis, economists' ideas about utility measurement, and their conception of what measurement in general means. It also explores the relationships between the history of utility measurement in economics, the history of the measurement of sensations in psychology, and the history of measurement theory in general. Finally, the book discusses some methodological problems related to utility measurement, such as the epistemological status of the utility concept and its measures. The first part covers the period 1870-1910, and discusses the issue of utility measurement in the theories of Jevons, Menger, Walras and other early utility theorists. Part II deals with the emergence of the notions of ordinal and cardinal utility during the period 1900-1945, and discusses two early attempts to give an empirical content to the notion of utility. Part III focuses on the 1945-1955 debate on utility measurement that was originated by von Neumann and Morgenstern's expected utility theory (EUT). Part IV reconstructs the experimental attempts to measure the utility of money between 1950 and 1985 within the framework provided by EUT. This historical and epistemological overview provides keen insights into current debates about rational choice theory and behavioral economics in the theory of individual decision-making and the philosophy of economics.
