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020			_a9780367557256
082			_a339.3 _bHEN
100			_aHenschen, Tobias _924864
245			_aCausality and objectivity in macroeconomics
260			_aLondon _bRoutledge _c2024
300			_axvii, 199 p.
365			_aGBP _b42.99
490			_aRoutledge INEM Advances in Economic Methodology
500			_aTable of contents: Preface 1 Introduction 1.1 Preliminary considerations 1.2 The agenda 1.3 A note on interdisciplinarity and the philosophical methods employed Part I: Causality 2 What is macroeconomic causality? 2.1 Introduction 2.2 Causal modeling in macroeconomics 2.3 An interventionist account of macroeconomic causality 2.4 Macroeconomic causality as privileged parameterization 2.5 The potential outcome approach to macroeconomic causality 2.6 An adequate account of macroeconomic causality 3 The ontology of macroeconomic aggregates 3.1 Introduction 3.2 Reduction, supervenience, and emergence 3.3 The canonical macroeconomic DSGE model 3.4 Do macroeconomic aggregates emerge? 3.5 Causality and manipulability 3.6 Toward a program of empirical microfoundations 4 The in-principle inconclusiveness of causal evidence in macroeconomics 4.1 Introduction 4.2 Randomized controlled trials 4.3 A natural experiment in macroeconomics 4.4 The general case 4.5 The Hoover test 4.6 The AK test 4.7 Conclusion 5 Causality and probability 5.1 Introduction 5.2 Suppes on genuine causation 5.3 Granger causality 5.4 Zellner on causal laws 5.5 Causal Bayes nets theory 5.6 Policy or prediction? 5.7 Common effects and common causes Part II: Objectivity 6 Scientific realism in macroeconomics 6.1 Introduction 6.2 Newton or Kepler? 6.3 Truth-to-economy in the "measurement-without-theory" debate 6.4 Truth-to-economy in contemporary macroeconomic policy analysis 6.5 Scientific realism in macroeconomics: given as a problem 7 The role of non-scientific values in macroeconomics 7.1 Introduction 7.2 Structural objectivity and causal modeling in macroeconomics 7.3 Longino on values and empirical underdetermination 7.4 Simply Walras or non-simply Marshall? 7.5 Ideologies, value judgments, and group interests 8 Macroeconomic expertise 8.1 Introduction 8.2 Trained judgment and expertise in macroeconomics 8.3 Macroeconomic expertise: how does it work? 8.4 Expert intuition and scientific objectivity 9 Macroeconomics in a democratic society 9.1 Introduction 9.2 Popper on scientific objectivity and the critical method 9.3 Myrdal on scientific objectivity and inferences from value premises 9.4 Kitcher on the ideal of well-ordered science 9.5 Well-ordered macroeconomics [https://www.routledge.com/Causality-and-Objectivity-in-Macroeconomics/Henschen/p/book/9780367557256?srsltid=AfmBOor04FnaLisXFSKQSchVs1qQPG1gg7uZJxiJtOB2xEN_PX8QufMc]
520			_aCentral 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. (https://www.routledge.com/Causality-and-Objectivity-in-Macroeconomics/Henschen/p/book/9780367557256?srsltid=AfmBOor04FnaLisXFSKQSchVs1qQPG1gg7uZJxiJtOB2xEN_PX8QufMc)
650			_aMacroeconomics
942			_cBK _2ddc
999			_c10279 _d10279