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  • Search: subject:"Non-linear expectation formation"
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Year of publication
Subject
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Non-linear expectation formation 10 Stock market 10 Survey data 10 Heterogeneous agents 7 Aktienmarkt 4 Börsenkurs 4 Erwartungsbildung 4 Expectation formation 4 Rational expectations 4 Rationale Erwartung 4 Share price 4 USA 4 United States 4 Forecasting model 3 Heterogenous agents 3 Nichtlineare Regression 3 Nonlinear regression 3 Prognoseverfahren 3 Theorie 3 Theory 3 Estimation 1 Schätzung 1 heterogeneous agents 1 non-linear expectation formation 1 stock market 1 survey data 1
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Online availability
All
Free 8
Type of publication
All
Book / Working Paper 11
Type of publication (narrower categories)
All
Working Paper 8 Arbeitspapier 4 Graue Literatur 4 Non-commercial literature 4
Language
All
English 8 Undetermined 3
Author
All
Pierdzioch, Christian 11 Reitz, Stefan 11 Ruelke, Jan-Christoph 11
Institution
All
Institut für Volkswirtschaftslehre, Christian-Albrechts-Universität Kiel 2 Institut für Weltwirtschaft (IfW) 1
Published in...
All
FinMaP-Working Paper 2 FinMaP-Working Papers 2 Finmap working paper 2 Kiel Working Paper 2 Kiel working paper 2 Kiel Working Papers 1
Source
All
ECONIS (ZBW) 4 EconStor 4 RePEc 3
Showing 1 - 10 of 11
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Heteroeneous forecasters and nonlinear expectation formation in US stock market
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - 2015
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectationformation process in the US stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time as...
Persistent link: https://www.econbiz.de/10010478793
Saved in:
Cover Image
Nonlinear expectation formation in the U.S. stock market: Empirical evidence from the Livingston survey
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - 2015
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...
Persistent link: https://www.econbiz.de/10011453726
Saved in:
Cover Image
Heteroeneous forecasters and nonlinear expectation formation in US stock market
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - Institut für Volkswirtschaftslehre, … - 2015
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectationformation process in the US stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time as...
Persistent link: https://www.econbiz.de/10011170367
Saved in:
Cover Image
Heteroeneous forecasters and nonlinear expectation formation in US stock market
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - 2015
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectationformation process in the US stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time as...
Persistent link: https://www.econbiz.de/10010479018
Saved in:
Cover Image
Nonlinear expectation formation in the U.S. stock market : empirical evidence from the Livingston survey
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - 2015
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...
Persistent link: https://www.econbiz.de/10011452463
Saved in:
Cover Image
Heterogeneous forecasters and nonlinear expectation formation in the US stock market
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - 2014
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...
Persistent link: https://www.econbiz.de/10010392337
Saved in:
Cover Image
Heterogeneous Forecasters and Nonlinear Expectation Formation in the U.S. Stock Market
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - 2014
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...
Persistent link: https://www.econbiz.de/10010398698
Saved in:
Cover Image
Heterogeneous Forecasters and Nonlinear Expectation Formation in the U.S. Stock Market
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - Institut für Volkswirtschaftslehre, … - 2014
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...
Persistent link: https://www.econbiz.de/10010958899
Saved in:
Cover Image
Heterogeneous Forecasters and Nonlinear Expectation Formation in the U.S. Stock Market
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - Institut für Weltwirtschaft (IfW) - 2014
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...
Persistent link: https://www.econbiz.de/10011208177
Saved in:
Cover Image
Heterogeneous forecasters and nonlinear expectation formation in the US stock market
Pierdzioch, Christian; Reitz, Stefan; Ruelke, Jan-Christoph - 2014
We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...
Persistent link: https://www.econbiz.de/10010384168
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