The Philosophy of Causality in Economics PDF Download

Author: Mariusz Maziarz
Publisher: Routledge
ISBN: 1000069109
Category : Business & Economics
Languages : en
Pages : 223

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Book Description
Approximately one in six top economic research papers draws an explicitly causal conclusion. But what do economists mean when they conclude that A ‘causes’ B? Does ‘cause’ say that we can influence B by intervening on A, or is it only a label for the correlation of variables? Do quantitative analyses of observational data followed by such causal inferences constitute sufficient grounds for guiding economic policymaking? The Philosophy of Causality in Economics addresses these questions by analyzing the meaning of causal claims made by economists and the philosophical presuppositions underlying the research methods used. The book considers five key causal approaches: the regularity approach, probabilistic theories, counterfactual theories, mechanisms, and interventions and manipulability. Each chapter opens with a summary of literature on the relevant approach and discusses its reception among economists. The text details case studies, and goes on to examine papers which have adopted the approach in order to highlight the methods of causal inference used in contemporary economics. It analyzes the meaning of the causal claim put forward, and finally reconstructs the philosophical presuppositions accepted implicitly by economists. The strengths and limitations of each method of causal inference are also considered in the context of using the results as evidence for policymaking. This book is essential reading to those interested in literature on the philosophy of economics, as well as the philosophy of causality and economic methodology in general.

Author: Hsiang-Ke Chao
Publisher: Springer Science & Business Media
ISBN: 9400724543
Category : Philosophy
Languages : en
Pages : 256

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Book Description
This volume addresses fundamental issues in the philosophy of science in the context of two most intriguing fields: biology and economics. Written by authorities and experts in the philosophy of biology and economics, Mechanism and Causality in Biology and Economics provides a structured study of the concepts of mechanism and causality in these disciplines and draws careful juxtapositions between philosophical apparatus and scientific practice. By exploring the issues that are most salient to the contemporary philosophies of biology and economics and by presenting comparative analyses, the book serves as a platform not only for gaining mutual understanding between scientists and philosophers of the life sciences and those of the social sciences, but also for sharing interdisciplinary research that combines both philosophical concepts in both fields. The book begins by defining the concepts of mechanism and causality in biology and economics, respectively. The second and third parts investigate philosophical perspectives of various causal and mechanistic issues in scientific practice in the two fields. These two sections include chapters on causal issues in the theory of evolution; experiments and scientific discovery; representation of causal relations and mechanism by models in economics. The concluding section presents interdisciplinary studies of various topics concerning extrapolation of life sciences and social sciences, including chapters on the philosophical investigation of conjoining biological and economic analyses with, respectively, demography, medicine and sociology.

Author: Scott Cunningham
Publisher: Yale University Press
ISBN: 0300255888
Category : Business & Economics
Languages : en
Pages : 585

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Book Description
An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.

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: Nguyen Ngoc Thach
Publisher: Springer Nature
ISBN: 303077094X
Category : Technology & Engineering
Languages : en
Pages : 691

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Book Description
This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.

Author: Sir John Richard Hicks
Publisher:
ISBN: 9780631114819
Category : Causalidad
Languages : en
Pages : 124

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Author: Nick Huntington-Klein
Publisher: CRC Press
ISBN: 1000509141
Category : Business & Economics
Languages : en
Pages : 646

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Book Description
Extensive code examples in R, Stata, and Python Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions An easy-to-read conversational tone Up-to-date coverage of methods with fast-moving literatures like difference-in-differences

Author: Stephen F. LeRoy
Publisher: Cambridge Scholars Publishing
ISBN: 1527560600
Category : Business & Economics
Languages : en
Pages : 105

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Book Description
There exist applications in many research areas including (but not limited to) economics dealing with causation that are analyzed using multi-equation mathematical models. This book develops and describes a formal treatment of causation in such mathematical models. It serves to replace existing treatments of causation, which almost without exception are vague and otherwise unsatisfactory. Development of theory is accompanied here by extensive analysis of examples drawn from the economics literature: treatment evaluation, potential outcomes, applied econometrics. The theory outlined here will be extremely useful in economics and such related fields as biology and biomedicine.

Author: Judea Pearl
Publisher: Cambridge University Press
ISBN: 052189560X
Category : Computers
Languages : en
Pages : 487

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Book Description
Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...

Author: George Loewenstein
Publisher: Russell Sage Foundation
ISBN: 1610443667
Category : Psychology
Languages : en
Pages : 584

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Book Description
How do people decide whether to sacrifice now for a future reward or to enjoy themselves in the present? Do the future gains of putting money in a pension fund outweigh going to Hawaii for New Year's Eve? Why does a person's self-discipline one day often give way to impulsive behavior the next? Time and Decision takes up these questions with a comprehensive collection of new research on intertemporal choice, examining how people face the problem of deciding over time. Economists approach intertemporal choice by means of a model in which people discount the value of future events at a constant rate. A vacation two years from now is worth less to most people than a vacation next week. Psychologists, on the other hand, have focused on the cognitive and emotional underpinnings of intertemporal choice. Time and Decision draws from both disciplinary approaches to provide a comprehensive picture of the various layers of choice involved. Shane Frederick, George Loewenstein, and Ted O'Donoghue introduce the volume with an overview of the research on time discounting and focus on how people actually discount the future compared to the standard economic model. Alex Kacelnik discusses the crucial role that the ability to delay gratification must have played in evolution. Walter Mischel and colleagues review classic research showing that four year olds who are able to delay gratification subsequently grow up to perform better in college than their counterparts who chose instant gratification. The book also delves into the neurobiology of patience, examining the brain structures involved in the ability to withstand an impulse. Turning to the issue of self-control, Klaus Wertenbroch examines the relationship between consumption and available resources, showing, for example, how a high credit limit can lead people to overspend. Ted O'Donoghue and Matthew Rabin show how people's awareness of their self-control problems affects their decision-making. The final section of the book examines intertemporal choice with regard to health, drug addiction, dieting, marketing, savings, and public policy. All of us make important decisions every day-many of which profoundly affect the quality of our lives. Time and Decision provides a fascinating look at the complex factors involved in how and why we make our choices, so many of them short-sighted, and helps us understand more precisely this crucial human frailty.