Kajal Lahiri / Geoffrey Hoyt Moore (eds.)
Leading Economic Indicators
New Approaches and Forecasting Records
Herausgeber: Lahiri, Kajal; Moore, Geoffrey H.
Kajal Lahiri / Geoffrey Hoyt Moore (eds.)
Leading Economic Indicators
New Approaches and Forecasting Records
Herausgeber: Lahiri, Kajal; Moore, Geoffrey H.
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Twenty-two articles by international experts on business cycles and economic indicators.
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Twenty-two articles by international experts on business cycles and economic indicators.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 484
- Erscheinungstermin: 23. November 2002
- Englisch
- Abmessung: 229mm x 152mm x 29mm
- Gewicht: 779g
- ISBN-13: 9780521438582
- ISBN-10: 0521438586
- Artikelnr.: 21522403
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Verlag: Cambridge University Press
- Seitenzahl: 484
- Erscheinungstermin: 23. November 2002
- Englisch
- Abmessung: 229mm x 152mm x 29mm
- Gewicht: 779g
- ISBN-13: 9780521438582
- ISBN-10: 0521438586
- Artikelnr.: 21522403
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
Preface; 1. Editors' introduction; Part I. New Concepts and Methods: 2.
Toward a theory of leading indicators Frank de Leeuw; 3. A time-series
framework for the study of leading indicators Salih N. Neftci; 4. A
probability model of the coincident economic indicators James H. Stock and
Mark W. Watson; 5. An international application of Neftci's probability
approach for signalling growth recessions and recoveries using turning
point indicators Michael P. Niemira; 6. On predicting the stage of the
business cycle Roy H. Webb; 7. Bayesian methods for forecasting turning
points in economic time series: sensitivity of forecasts to asymmetry of
loss structures Arnold Zellner and Chansik Hong; 8. New developments in
leading economic indicators Geoffrey H. Moore; Part II. Forecasting Records
and Methods of Evaluation: 9. Forecasting cyclical turning points: the
record in the past three recessions Stephen K. McNees; 10. Turning point
predictions, errors, and forecasting procedures Hermon O. Stekler; 11.
Forecasting peaks and troughs in the business cycle: on the choice and use
of appropriate leading indicator series Stephen J. Silver; 12. Using a
consensus of leading economic indicators to find right ball park for real
GNP forecasts Edward F. Renshaw; 13. Some Australian experience with
leading economic indicators Allan P. Layton; 14. Turning point prediction
with the composite leading index: an exante analysis Francis X. Diebold and
Glenn D. Rudebusch; 15. Forecasting recessions under the
Gramm-Rudman-Hollings law Victor Zarnowitz and Geoffrey H. Moore; 16.
Leading indicators of inflation Howard L. Roth; Part III. New Economic
Indicators: 17. Commodity prices as a leading indicator of inflation James
M. Boughton and William H. Branson; 18. A leading indicator of inflation
based on interest rates Susmita Dasgupta and Kajal Lahiri; 19. Using
composite leading indicators of consumption to forecast sales and to signal
turning points in stock market Michael P. Niemira; 20. Economic indicators
for Australia's service sector Ernst A. Boehm; 21. Purchasing management
survey data: their value as leading indicator Philip A. Klein and Geoffrey
H. Moore; 22. An agenda for inventories input to leading composite index
Feliks Tamm; Index.
Toward a theory of leading indicators Frank de Leeuw; 3. A time-series
framework for the study of leading indicators Salih N. Neftci; 4. A
probability model of the coincident economic indicators James H. Stock and
Mark W. Watson; 5. An international application of Neftci's probability
approach for signalling growth recessions and recoveries using turning
point indicators Michael P. Niemira; 6. On predicting the stage of the
business cycle Roy H. Webb; 7. Bayesian methods for forecasting turning
points in economic time series: sensitivity of forecasts to asymmetry of
loss structures Arnold Zellner and Chansik Hong; 8. New developments in
leading economic indicators Geoffrey H. Moore; Part II. Forecasting Records
and Methods of Evaluation: 9. Forecasting cyclical turning points: the
record in the past three recessions Stephen K. McNees; 10. Turning point
predictions, errors, and forecasting procedures Hermon O. Stekler; 11.
Forecasting peaks and troughs in the business cycle: on the choice and use
of appropriate leading indicator series Stephen J. Silver; 12. Using a
consensus of leading economic indicators to find right ball park for real
GNP forecasts Edward F. Renshaw; 13. Some Australian experience with
leading economic indicators Allan P. Layton; 14. Turning point prediction
with the composite leading index: an exante analysis Francis X. Diebold and
Glenn D. Rudebusch; 15. Forecasting recessions under the
Gramm-Rudman-Hollings law Victor Zarnowitz and Geoffrey H. Moore; 16.
Leading indicators of inflation Howard L. Roth; Part III. New Economic
Indicators: 17. Commodity prices as a leading indicator of inflation James
M. Boughton and William H. Branson; 18. A leading indicator of inflation
based on interest rates Susmita Dasgupta and Kajal Lahiri; 19. Using
composite leading indicators of consumption to forecast sales and to signal
turning points in stock market Michael P. Niemira; 20. Economic indicators
for Australia's service sector Ernst A. Boehm; 21. Purchasing management
survey data: their value as leading indicator Philip A. Klein and Geoffrey
H. Moore; 22. An agenda for inventories input to leading composite index
Feliks Tamm; Index.
Preface; 1. Editors' introduction; Part I. New Concepts and Methods: 2.
Toward a theory of leading indicators Frank de Leeuw; 3. A time-series
framework for the study of leading indicators Salih N. Neftci; 4. A
probability model of the coincident economic indicators James H. Stock and
Mark W. Watson; 5. An international application of Neftci's probability
approach for signalling growth recessions and recoveries using turning
point indicators Michael P. Niemira; 6. On predicting the stage of the
business cycle Roy H. Webb; 7. Bayesian methods for forecasting turning
points in economic time series: sensitivity of forecasts to asymmetry of
loss structures Arnold Zellner and Chansik Hong; 8. New developments in
leading economic indicators Geoffrey H. Moore; Part II. Forecasting Records
and Methods of Evaluation: 9. Forecasting cyclical turning points: the
record in the past three recessions Stephen K. McNees; 10. Turning point
predictions, errors, and forecasting procedures Hermon O. Stekler; 11.
Forecasting peaks and troughs in the business cycle: on the choice and use
of appropriate leading indicator series Stephen J. Silver; 12. Using a
consensus of leading economic indicators to find right ball park for real
GNP forecasts Edward F. Renshaw; 13. Some Australian experience with
leading economic indicators Allan P. Layton; 14. Turning point prediction
with the composite leading index: an exante analysis Francis X. Diebold and
Glenn D. Rudebusch; 15. Forecasting recessions under the
Gramm-Rudman-Hollings law Victor Zarnowitz and Geoffrey H. Moore; 16.
Leading indicators of inflation Howard L. Roth; Part III. New Economic
Indicators: 17. Commodity prices as a leading indicator of inflation James
M. Boughton and William H. Branson; 18. A leading indicator of inflation
based on interest rates Susmita Dasgupta and Kajal Lahiri; 19. Using
composite leading indicators of consumption to forecast sales and to signal
turning points in stock market Michael P. Niemira; 20. Economic indicators
for Australia's service sector Ernst A. Boehm; 21. Purchasing management
survey data: their value as leading indicator Philip A. Klein and Geoffrey
H. Moore; 22. An agenda for inventories input to leading composite index
Feliks Tamm; Index.
Toward a theory of leading indicators Frank de Leeuw; 3. A time-series
framework for the study of leading indicators Salih N. Neftci; 4. A
probability model of the coincident economic indicators James H. Stock and
Mark W. Watson; 5. An international application of Neftci's probability
approach for signalling growth recessions and recoveries using turning
point indicators Michael P. Niemira; 6. On predicting the stage of the
business cycle Roy H. Webb; 7. Bayesian methods for forecasting turning
points in economic time series: sensitivity of forecasts to asymmetry of
loss structures Arnold Zellner and Chansik Hong; 8. New developments in
leading economic indicators Geoffrey H. Moore; Part II. Forecasting Records
and Methods of Evaluation: 9. Forecasting cyclical turning points: the
record in the past three recessions Stephen K. McNees; 10. Turning point
predictions, errors, and forecasting procedures Hermon O. Stekler; 11.
Forecasting peaks and troughs in the business cycle: on the choice and use
of appropriate leading indicator series Stephen J. Silver; 12. Using a
consensus of leading economic indicators to find right ball park for real
GNP forecasts Edward F. Renshaw; 13. Some Australian experience with
leading economic indicators Allan P. Layton; 14. Turning point prediction
with the composite leading index: an exante analysis Francis X. Diebold and
Glenn D. Rudebusch; 15. Forecasting recessions under the
Gramm-Rudman-Hollings law Victor Zarnowitz and Geoffrey H. Moore; 16.
Leading indicators of inflation Howard L. Roth; Part III. New Economic
Indicators: 17. Commodity prices as a leading indicator of inflation James
M. Boughton and William H. Branson; 18. A leading indicator of inflation
based on interest rates Susmita Dasgupta and Kajal Lahiri; 19. Using
composite leading indicators of consumption to forecast sales and to signal
turning points in stock market Michael P. Niemira; 20. Economic indicators
for Australia's service sector Ernst A. Boehm; 21. Purchasing management
survey data: their value as leading indicator Philip A. Klein and Geoffrey
H. Moore; 22. An agenda for inventories input to leading composite index
Feliks Tamm; Index.