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Science Outside the Laboratory
Social science experiments often cannot be analyzed under controlled conditions, as many take place outside a laboratory. None-the-less, measurement provides scientists with a sound basis for collecting and analyzing the results of field research. Science Outside the Laboratory examines the relationship between measurement theory and field investigations through the philosophy of science.
Economic Methodology
Economic Methodology explores the status and character of economics as a social science and introduces students to philosophical issues underlying modern science. Approaching the subject as philosophy of science for economists, the authors use the historical developments in philosophy of science to frame this introduction to the field of economic methodology. By doing this they strengthen students' understanding of economics as a science to enhance their reasoning skills, introducing them to the wider philosophical issues surrounding our understanding of the area.
How Economists Model the World into Numbers
Economics is dominated by model building, therefore a comprehension of how such models work is vital to understanding the discipline. This book provides a critical analysis of the economist's favourite tool, and as such will be an enlightening read for some, and an intriguing one for others.
Science Outside the Laboratory
Measurement is the assignment of numbers to objects or events according to a rule. But the rules applicable in the field are different from the rules used in the laboratory. Methodologies appropriate for field measurement have to include instructions of how to replace control of the measurand and environment by control of the representing model, and how to deal with unscientific observations. Investigations of several measurement practices in different social field sciences show that for such methodologies expert judgement is indispensable.
Measurement in Economics
"Measurement in Economics: A Handbook" aims to serve as a source, reference, and teaching supplement for quantitative empirical economics, inside and outside the laboratory. Covering an extensive range of fields in economics: econometrics, actuarial science, experimental economics, index theory, national accounts, and economic forecasting, it is the first book that takes measurement in economics as its central focus. It shows how different and sometimes distinct fields share the same kind of measurement problems and so how the treatment of these problems in one field can function as a guidance in other fields. This volume provides comprehensive and up-to-date surveys of recent developments in economic measurement, written at a level intended for professional use by economists, econometricians, statisticians and social scientists. It employs an integrative approach of measurement in economics. It contains multi-disciplinary chapters and up-to-date survey of measurement literature in economics and econometrics.
How Economics Became a Mathematical Science
In How Economics Became a Mathematical Science E. Roy Weintraub traces the history of economics through the prism of the history of mathematics in the twentieth century. As mathematics has evolved, so has the image of mathematics, explains Weintraub, such as ideas about the standards for accepting proof, the meaning of rigor, and the nature of the mathematical enterprise itself. He also shows how economics itself has been shaped by economists’ changing images of mathematics. Whereas others have viewed economics as autonomous, Weintraub presents a different picture, one in which changes in mathematics—both within the body of knowledge that constitutes mathematics and in how it is thought ...
Models as Mediators
Edited collection examining the ways in which models are used in modern science.
Data Journeys in the Sciences
This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variet...
Exploring the History of Statistical Inference in Economics
Contributors to this special supplement explore the history of statistical inference, led by two motivations. One was the belief that John Maynard Keynes's distinction between the descriptive and the inductive function of statistical research provided a fruitful framework for understanding empirical research practices. The other was an aim to fill a gap in the history of economics by exploring an important part of the story left out of existing histories of empirical analysis in economics--namely "sinful" research practices that did not meet or point towards currently reigning standards of scientific research.
Theoretical Virtues in Science
In-depth discussion of the value of scientific theories, bringing together and advancing current important debates in realism.
