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Challenging Time Series - Limits to Knowledge, Inertia and Caprice (Hardcover)
Loot Price: R2,872
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Challenging Time Series - Limits to Knowledge, Inertia and Caprice (Hardcover)
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This unorthodox book derives and tests a simple theory of economic
time series using several well-known empirical economic puzzles,
from stock market bubbles to the failure of conventional economic
theory, to explain low levels of inflation and unemployment in the
US.Professor Stanley develops a new econometric methodology which
demonstrates the explanatory power of the behavioral inertia
hypothesis and solves the pretest/specification dilemma. He then
applies this to important measures of the world's economies
including GDP, prices and consumer spending. The behavioral inertia
hypothesis claims that inertia and randomness (or 'caprice') are
the most important factors in representing and forecasting many
economic time series. The development of this new model integrates
well-known patterns in economic time series data with well-accepted
ideas in contemporary philosophy of science. Academic economists
will find this book interesting as it presents a unified approach
to economic time series, solves a number of important empirical
puzzles and introduces a new econometric methodology. Business and
financial analysts will also find it useful because it offers a
simple, yet powerful, framework in which to study and predict
financial market movements.
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