The Methodology of Economics or Probablty Theory Statist Inference

The Methodology of Economics: Or, How Economists Explain

Author: Mark Blaug

This book examines the nature of economic explanation. The author introduces current thinking in the philosophy of science and reviews the literature on methodology. He looks at the status of welfare economics, and also provides a series of case studies of leading economic controversies, showing how they may be illuminated by paying attention to questions of methodology. A final chapter draws the strands together and gives the author's view of what is wrong with modern economics. This book is a revised and updated edition of a classic work on the methodology of economics.

Table of Contents:

	Preface
	Preface to first edition
Pt. I	What you always wanted to know about the philosophy of science but were afraid to ask
1	From the received view to the views of Popper	3
2	From Popper to the new heterodoxy	27
Pt. II	The history of economic methodology
3	The verificationists, a largely nineteenth-century story	51
4	The falsificationists, a wholly twentieth-century story	83
5	The distinction between positive and normative economics	112
Pt. III	A methodological appraisal of the neoclassical research program
6	The theory of consumer behavior	137
7	The theory of the firm	150
8	General equilibrium theory	161
9	Marginal productivity theory	170
10	Switching, reswitching, and all that	178
11	The Heckscher-Ohlin theory of international trade	185
12	Keynesians versus monetarists	192
13	Human capital theory	206
14	The new economics of the family	220
15	The rationality postulate	229
Pt. IV	What have we now learned about economics?
16	Conclusions	237
	Glossary	249
	Suggestions for further reading	253
	Bibliography	255
	Name index	275
	Subject index	281

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Probablty Theory Statist Inference

Author: Aris Spanos

This major new textbook is intended for students taking introductory courses in probability theory and statistical inference. The primary objective of this book is to establish the framework for the empirical modeling of observational (nonexperimental) data. The text is extremely student friendly, with pathways designed for semester usage, and although aimed primarily at students at second-year undergraduate level and above studying econometrics and economics, Probability Theory and Statistical Inference will also be useful for students in other disciplines that make extensive use of observational data, including finance, biology, sociology and psychology.