How are economists and historians to explain what happened in
history? What statistical inferences can be drawn from historical
data? The authors believe that explanation in history can be
identified with the problems of prediction in a probabilistic
universe. Using this approach, the historian can act upon his a
priori information and his judgment of what is unique and
particular in each past event, even with data hitherto considered
to be intractable for statistical treatment. In essence, the book
is an argument for and a demonstration of the point of view that
the restricted approach of "measurement without theory" is not
necessary in history, or at least not necessary in economic
history. After two chapters of theoretical introduction, the
authors explore the meanings and implications of evidence,
explanation and proof in history by applying econometric methods to
the analysis of three major problems in 19th century economic
history--the profitability of slavery in the antebellum South,
income growth and development in the United States during the
1800's, and The Great Depression in the British economy; also
included is a postscript on growth reassessing some current
arguments in the light of the findings of these papers. The book
presents an original and provocative approach to historical
problems that have long plagued economists and historians and
provides the reader with a new approach to these and similar
questions.
General
Imprint: |
Routledge
|
Country of origin: |
United Kingdom |
Release date: |
September 2017 |
First published: |
2006 |
Authors: |
John R. Meyer
|
Dimensions: |
229 x 152mm (L x W) |
Format: |
Hardcover
|
Pages: |
250 |
ISBN-13: |
978-1-138-53539-8 |
Categories: |
Books >
Business & Economics >
Economics >
General
|
LSN: |
1-138-53539-7 |
Barcode: |
9781138535398 |
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