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Causality and Objectivity in Macroeconomics

Causality and Objectivity in Macroeconomics
Author: Tobias Henschen
Publisher:
Total Pages: 0
Release: 2024
Genre: Causation
ISBN: 9780367557256

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"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"--


Causality and Objectivity in Macroeconomics

Causality and Objectivity in Macroeconomics
Author: Tobias Henschen
Publisher: Taylor & Francis
Total Pages: 219
Release: 2023-09-29
Genre: Business & Economics
ISBN: 1000961788

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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.


Causality in Macroeconomics

Causality in Macroeconomics
Author: Kevin D. Hoover
Publisher: Cambridge University Press
Total Pages: 330
Release: 2001-08-13
Genre: Business & Economics
ISBN: 9780521002882

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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.


The causality relationship between money supply, inflation and Real GDP

The causality relationship between money supply, inflation and Real GDP
Author: Moges Endalamaw Yigermal
Publisher: GRIN Verlag
Total Pages: 23
Release: 2018-03-08
Genre: Business & Economics
ISBN: 3668655979

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Case Study 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 (data from 1975-2014). 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.


Causality in Economics

Causality in Economics
Author: Sir John Richard Hicks
Publisher:
Total Pages: 124
Release: 1979
Genre: Causalidad
ISBN: 9780631114819

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The Routledge Handbook of the Philosophy of Economics

The Routledge Handbook of the Philosophy of Economics
Author: Conrad Heilmann
Publisher: Routledge
Total Pages: 660
Release: 2021-11-29
Genre: Philosophy
ISBN: 1317578058

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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.


The Economics of Artificial Intelligence

The Economics of Artificial Intelligence
Author: Ajay Agrawal
Publisher: University of Chicago Press
Total Pages: 172
Release: 2024-03-05
Genre: Business & Economics
ISBN: 0226833127

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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.


Dynamic Models and Structural Estimation in Corporate Finance

Dynamic Models and Structural Estimation in Corporate Finance
Author: Ilya A. Strebulaev
Publisher: Now Pub
Total Pages: 174
Release: 2012-10-02
Genre: Business & Economics
ISBN: 9781601985804

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The goals of this monograph are to explain the models and techniques and make it more accessible, introduce the main strands of this literature, and explain how dynamic models can be taken to the data and estimated, providing a guide to 3 methodologies: generalized method of moments, simulated method of moments, and maximum simulated likelihood.


The General Theory of Employment, Interest, and Money

The General Theory of Employment, Interest, and Money
Author: John Maynard Keynes
Publisher: Springer
Total Pages: 430
Release: 2018-07-20
Genre: Business & Economics
ISBN: 3319703447

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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.


Rescuing Econometrics

Rescuing Econometrics
Author: Duo Qin
Publisher: Taylor & Francis
Total Pages: 129
Release: 2023-12-01
Genre: Business & Economics
ISBN: 1003819389

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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.