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Author: Tobias Henschen
Publisher:
ISBN: 9780367557256
Category : Causation
Languages : en
Pages : 0
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Book Description
"Central banks and other policymaking institutions use causal hypotheses to justify macroeconomic policy decisions to the public and public institutions. These hypotheses say that changes in one macroeconomic aggregate (e.g. aggregate demand) cause changes in other macroeconomic aggregates (e.g. in inflation). An important (perhaps the most important) goal of macroeconomists is to provide conclusive evidence in support of these hypotheses. If they cannot provide any conclusive evidence, then policymaking institutions will be unable to use causal hypotheses to justify policy decisions, and then the scientific objectivity of macroeconomic policy analysis will be questionable. The book analyzes the accounts of causality that have been or can be proposed to capture the type of causality that underlies macroeconomic policy analysis, the empirical methods of causal inference that contemporary macroeconomists have at their disposal, and the conceptions of scientific objectivity that traditionally play a role in economics. The book argues that contemporary macroeconomists cannot provide any conclusive evidence in support of causal hypotheses, and that macroeconomic policy analysis doesn't qualify as scientifically objective in any of the traditional meanings. The book also considers a number of steps that might have to be taken in order for macroeconomic policy analysis to become more objective. The book addresses philosophers of science and economics as well as (macro-) economists, econometricians and statisticians who are interested in causality and macro-econometric methods of causal inference and their wider philosophical and social context"--
Author: Tobias Henschen
Publisher:
ISBN: 9780367557256
Category : Causation
Languages : en
Pages : 0
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Book Description
"Central banks and other policymaking institutions use causal hypotheses to justify macroeconomic policy decisions to the public and public institutions. These hypotheses say that changes in one macroeconomic aggregate (e.g. aggregate demand) cause changes in other macroeconomic aggregates (e.g. in inflation). An important (perhaps the most important) goal of macroeconomists is to provide conclusive evidence in support of these hypotheses. If they cannot provide any conclusive evidence, then policymaking institutions will be unable to use causal hypotheses to justify policy decisions, and then the scientific objectivity of macroeconomic policy analysis will be questionable. The book analyzes the accounts of causality that have been or can be proposed to capture the type of causality that underlies macroeconomic policy analysis, the empirical methods of causal inference that contemporary macroeconomists have at their disposal, and the conceptions of scientific objectivity that traditionally play a role in economics. The book argues that contemporary macroeconomists cannot provide any conclusive evidence in support of causal hypotheses, and that macroeconomic policy analysis doesn't qualify as scientifically objective in any of the traditional meanings. The book also considers a number of steps that might have to be taken in order for macroeconomic policy analysis to become more objective. The book addresses philosophers of science and economics as well as (macro-) economists, econometricians and statisticians who are interested in causality and macro-econometric methods of causal inference and their wider philosophical and social context"--
Author: Tobias Henschen
Publisher: Taylor & Francis
ISBN: 1000961788
Category : Business & Economics
Languages : en
Pages : 219
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Book Description
Central banks and other policymaking institutions use causal hypotheses to justify macroeconomic policy decisions to the public and public institutions. These hypotheses say that changes in one macroeconomic aggregate (e.g. aggregate demand) cause changes in other macroeconomic aggregates (e.g. in inflation). An important (perhaps the most important) goal of macroeconomists is to provide conclusive evidence in support of these hypotheses. If they cannot provide any conclusive evidence, then policymaking institutions will be unable to use causal hypotheses to justify policy decisions, and then the scientific objectivity of macroeconomic policy analysis will be questionable. The book analyzes the accounts of causality that have been or can be proposed to capture the type of causality that underlies macroeconomic policy analysis, the empirical methods of causal inference that contemporary macroeconomists have at their disposal, and the conceptions of scientific objectivity that traditionally play a role in economics. The book argues that contemporary macroeconomists cannot provide any conclusive evidence in support of causal hypotheses, and that macroeconomic policy analysis doesn’t qualify as scientifically objective in any of the traditional meanings. The book also considers a number of steps that might have to be taken in order for macroeconomic policy analysis to become more objective. The book addresses philosophers of science and economics as well as (macro-) economists, econometricians and statisticians who are interested in causality and macro-econometric methods of causal inference and their wider philosophical and social context.
Author: Kevin D. Hoover
Publisher: Cambridge University Press
ISBN: 9780521002882
Category : Business & Economics
Languages : en
Pages : 330
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Book Description
First published in 2001, Causality in Macroeconomics addresses the long-standing problems of causality while taking macroeconomics seriously. The practical concerns of the macroeconomist and abstract concerns of the philosopher inform each other. Grounded in pragmatic realism, the book rejects the popular idea that macroeconomics requires microfoundations, and argues that the macroeconomy is a set of structures that are best analyzed causally. Ideas originally due to Herbert Simon and the Cowles Commission are refined and generalized to non-linear systems, particularly to the non-linear systems with cross-equation restrictions that are ubiquitous in modern macroeconomic models with rational expectations (with and without regime-switching). These ideas help to clarify philosophical as well as economic issues. The structural approach to causality is then used to evaluate more familiar approaches to causality due to Granger, LeRoy and Glymour, Spirtes, Scheines and Kelly, as well as vector autoregressions, the Lucas critique, and the exogeneity concepts of Engle, Hendry and Richard.
Author: Moges Endalamaw Yigermal
Publisher:
ISBN: 9783668655980
Category :
Languages : en
Pages : 24
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Book Description
Seminar paper from the year 2016 in the subject Economics - Monetary theory and policy, language: English, abstract: Since the main objective of the paper is to test the existence of causality relationship between the three macroeconomic variables, namely real GDP, price level (CPI) and M2 money supply (MS), analysis has been made there by employing 40 years of data. VAR Granger causality test has been made to verify the objective of the paper. The VAR Granger causality test result suggesting the existence of strong and significant correlation between the three variable s pairwise. The direction of causation is found to be a uni- directional causation between money supply and inflation, real GDP and Money supply and between real GDP and inflation and the causation runs from money supply to inflation, real GDP to Money supply and real GDP to inflation respectively. From the causation we observed that money supply has relationship with level of price and economic growth (real GDP). Basically targeting monetary expansion has a multiple role to boost economic growth and control the level of inflation. Keynesians, monetarists, and new classical economists agree that the steady state rate of inflation is closely related to growth of the money supply, and that monetary policy can not affect the equilibrium rate of unemployment. The best slogan of monetarist school of thought "money matters," they argued that changes in the amount of money in the circulation are the sources of other economic changes. In other words, the changes in the size of money supply have a number of implications on the macroeconomics variables especially inflation. Apart from being a powerful instrument of monetary policy, its expansion or contraction dictates the growth in investment and output of any economy. The supply of money is widely accepted as a key determinant of the levels of output and employment in the short run and the level of prices in the long run.
Author: Sir John Richard Hicks
Publisher:
ISBN: 9780631114819
Category : Causalidad
Languages : en
Pages : 124
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Book Description
Author: Conrad Heilmann
Publisher: Routledge
ISBN: 1317578058
Category : Philosophy
Languages : en
Pages : 660
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Book Description
The most fundamental questions of economics are often philosophical in nature, and philosophers have, since the very beginning of Western philosophy, asked many questions that current observers would identify as economic. The Routledge Handbook of Philosophy of Economics is an outstanding reference source for the key topics, problems, and debates at the intersection of philosophical and economic inquiry. It captures this field of countless exciting interconnections, affinities, and opportunities for cross-fertilization. Comprising 35 chapters by a diverse team of contributors from all over the globe, the Handbook is divided into eight sections: I. Rationality II. Cooperation and Interaction III. Methodology IV. Values V. Causality and Explanation VI. Experimentation and Simulation VII. Evidence VIII. Policy The volume is essential reading for students and researchers in economics and philosophy who are interested in exploring the interconnections between the two disciplines. It is also a valuable resource for those in related fields like political science, sociology, and the humanities.
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author: John Maynard Keynes
Publisher: Springer
ISBN: 3319703447
Category : Business & Economics
Languages : en
Pages : 404
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Book Description
This book was originally published by Macmillan in 1936. It was voted the top Academic Book that Shaped Modern Britain by Academic Book Week (UK) in 2017, and in 2011 was placed on Time Magazine's top 100 non-fiction books written in English since 1923. Reissued with a fresh Introduction by the Nobel-prize winner Paul Krugman and a new Afterword by Keynes’ biographer Robert Skidelsky, this important work is made available to a new generation. The General Theory of Employment, Interest and Money transformed economics and changed the face of modern macroeconomics. Keynes’ argument is based on the idea that the level of employment is not determined by the price of labour, but by the spending of money. It gave way to an entirely new approach where employment, inflation and the market economy are concerned. Highly provocative at its time of publication, this book and Keynes’ theories continue to remain the subject of much support and praise, criticism and debate. Economists at any stage in their career will enjoy revisiting this treatise and observing the relevance of Keynes’ work in today’s contemporary climate.
Author: Duo Qin
Publisher: Taylor & Francis
ISBN: 1003819389
Category : Business & Economics
Languages : en
Pages : 129
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Book Description
Haavelmo’s 1944 monograph, The Probability Approach in Econometrics, is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmo’s probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics towards a full embrace of machine learning, with its attendant benefits. Machine learning has only come into existence over recent decades, whereas the universally accepted and current form of econometrics has developed over the past century. A comparison between the two is, however, striking. The practical achievements of machine learning significantly outshine those of econometrics, confirming the presence of widespread inefficiencies in current econometric research. The relative efficiency of machine learning is based on its theoretical foundation, and particularly on the notion of Probably Approximately Correct (PAC) learning. Careful examination reveals that PAC learning theory delivers the goals of applied economic modelling research far better than Haavelmo’s probability approach. Econometrics should therefore renounce its outdated foundation, and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential. The book is catered for applied economists, econometricians, economists specialising in the history and methodology of economics, advanced students, philosophers of social sciences.
Author: Alfonso Palacio-Vera
Publisher: Taylor & Francis
ISBN: 1040104886
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
‘Situational Analysis’ represents Karl Popper’s methodological proposal for the social sciences. Although it has been widely studied and interpreted, this book argues that Situational Analysis remains underestimated and undeveloped and, if properly reformulated, could yet become a broad methodological framework that encompasses both the ‘historical’ social sciences and a large section of the ‘theoretical’ social sciences. The first part of this book develops this idea by returning to Popper’s texts. This book calls for both a reformulation of Situational Analysis and a clarification of the status and role of Popper’s ‘Rationality Principle’. This book also develops Situational Analysis by addressing two aspects of the Problem-Situation facing individual actors that are only sketched out in Popper’s work: institutions and expectations. The second part of this book utilizes the reformulated version of Situational Analysis to shed light on the core methodological differences across some of the most widespread approaches in contemporary economics and sociology. In particular, by showing that many of these approaches are variants of the reformulated version of Situational Analysis presented in the first part of this book, this book argues that apparent methodological differences across these approaches may be reinterpreted as differences in the way social scientists reconstruct the Problem-Situation facing individual actors. This book will be vital reading for academic economists, sociologists, philosophers of science, and other social scientists interested in methodology.
