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  • Search: subject:"Markov switching dynamic regression model"
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Year of publication
Subject
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Markov chain 4 Markov-Kette 4 Big data 3 Markov switching dynamic regression model 3 Markov-switching dynamic regression model 3 Regression analysis 3 Regressionsanalyse 3 expectations channel 3 quantitative easing monetary policy 3 Bayesian VAR model 2 COVID-19 2 Erwartungsbildung 2 Estimation 2 Expectation formation 2 Geldpolitik 2 Geldpolitische Transmission 2 Happiness 2 Monetary policy 2 Monetary transmission 2 New Zealand 2 Quantitative Lockerung 2 Quantitative easing 2 Schätzung 2 cointegration 2 portfolio substitution channel 2 signaling effect 2 vector error correction model 2 Big Data 1 Cointegration 1 Coronavirus 1 Data Mining 1 Data mining 1 EU countries 1 EU-Staaten 1 Euro area 1 Eurozone 1 Eurozone countries 1 Forecasting model 1 Hotel industry 1 Hotellerie 1
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Online availability
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Free 5 Undetermined 1
Type of publication
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Article 4 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 2 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1
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Language
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English 6
Author
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Adhikari, Tamanna 2 Greyling, Talita 2 Rossouw, Stephanie 2 Tsuji, Chikashi 2 Apergēs, Nikolaos 1 Pan, Bing 1 Yang, Yang 1
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Published in...
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Cogent Economics & Finance 1 Cogent economics & finance 1 Economics and Business Letters : EBL 1 GLO Discussion Paper 1 GLO discussion paper 1 Journal of travel research : a quarterly publication of the Travel and Tourism Research Association 1
Source
All
ECONIS (ZBW) 4 EconStor 2
Showing 1 - 6 of 6
Cover Image
New Zealand's happiness and COVID-19: a Markov Switching Dynamic Regression Model
Rossouw, Stephanie; Greyling, Talita; Adhikari, Tamanna - 2021
Happiness levels (states) are volatile and often fluctuate between a happy and unhappy state from one day to the next. The reasons for these shifts are mostly unobservable and not predictable. In this paper, we fit a Marko Switching Dynamic Regression Model (MSDR) to better understand the...
Persistent link: https://www.econbiz.de/10012511363
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Cover Image
New Zealand's happiness and COVID-19 : a Markov Switching Dynamic Regression Model
Rossouw, Stephanie; Greyling, Talita; Adhikari, Tamanna - 2021
Happiness levels (states) are volatile and often fluctuate between a happy and unhappy state from one day to the next. The reasons for these shifts are mostly unobservable and not predictable. In this paper, we fit a Marko Switching Dynamic Regression Model (MSDR) to better understand the...
Persistent link: https://www.econbiz.de/10012512277
Saved in:
Cover Image
Expectations and quantitative easing in the Eurozone
Apergēs, Nikolaos - In: Economics and Business Letters : EBL 7 (2018) 1, pp. 18-23
Persistent link: https://www.econbiz.de/10011859265
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Did the expectations channel work? Evidence from quantitative easing in Japan, 2001-06
Tsuji, Chikashi - In: Cogent Economics & Finance 4 (2016) 1, pp. 1-28
The Japanese economy experienced a prolonged period of quantitative easing (QE) over the five years from March 2001 to March 2006. The purpose of this paper is to evaluate the direct and exclusive effects of this rather unconventional monetary policy on financial markets, economic activity, and...
Persistent link: https://www.econbiz.de/10011559225
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Cover Image
Did the expectations channel work? : evidence from quantitative easing in Japan, 2001-06
Tsuji, Chikashi - In: Cogent economics & finance 4 (2016) 1, pp. 1-28
The Japanese economy experienced a prolonged period of quantitative easing (QE) over the five years from March 2001 to March 2006. The purpose of this paper is to evaluate the direct and exclusive effects of this rather unconventional monetary policy on financial markets, economic activity, and...
Persistent link: https://www.econbiz.de/10011531114
Saved in:
Cover Image
Forecasting destination weekly hotel occupancy with big data
Pan, Bing; Yang, Yang - In: Journal of travel research : a quarterly publication of … 56 (2017) 7, pp. 957-970
Persistent link: https://www.econbiz.de/10011731366
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