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  • Search: subject:"mixed-frequency time series"
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Year of publication
Subject
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Time series analysis 3 Zeitreihenanalyse 3 mixed-frequency time series 3 Bruttoinlandsprodukt 2 Estimation theory 2 Forecasting model 2 GDP forecasts 2 Gross domestic product 2 Prognoseverfahren 2 Schätztheorie 2 cointegration 2 Causality analysis 1 Cointegration 1 Econometric model 1 Economic growth 1 Generalized autoregressive score models 1 Granger causality tests 1 Inflation 1 Kausalanalyse 1 Kointegration 1 Lag model 1 Lag-Modell 1 Mixed frequency time series 1 National income 1 Nationaleinkommen 1 Regression analysis 1 Regressionsanalyse 1 Time-varying parameters 1 Tourism 1 Tourismus 1 Wirtschaftswachstum 1 autoregressive distributed lag 1 autoregressive distributed lag (ADL) 1 econometric model 1 mixed data sampling (MIDAS) 1 mixed data sampling (MiDaS) 1 tourism-led growth 1 Ökonometrisches Modell 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3 Undetermined 1
Author
All
Miller, J. Isaac 2 Gorgi, Paolo 1 Koopman, Siem Jan 1 Li, Mengheng 1 Liu, Han 1 Song, Haiyan 1
Institution
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Economics Department, University of Missouri 1
Published in...
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International journal of forecasting 1 Journal of financial econometrics : official journal of the Society for Financial Econometrics 1 Journal of travel research : a quarterly publication of the Travel and Tourism Research Association 1 Working Papers / Economics Department, University of Missouri 1
Source
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ECONIS (ZBW) 3 RePEc 1
Showing 1 - 4 of 4
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New evidence of dynamic links between tourism and economic growth based on mixed-frequency Granger causality tests
Liu, Han; Song, Haiyan - In: Journal of travel research : a quarterly publication of … 57 (2018) 7, pp. 899-907
Persistent link: https://www.econbiz.de/10011927222
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Mixed-frequency Cointegrating Regressions with Parsimonious Distributed Lag Structures
Miller, J. Isaac - Economics Department, University of Missouri - 2012
Parsimoniously specified distributed lag models have enjoyed a resurgence under the MiDaS moniker (Mixed Data Sampling) as a feasible way to model time series observed at very different sampling frequencies. I introduce cointegrating mixed data sampling (CoMiDaS) regressions. I derive asymptotic...
Persistent link: https://www.econbiz.de/10011076208
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Forecasting economic time series using score-driven dynamic models with mixed-data sampling
Gorgi, Paolo; Koopman, Siem Jan; Li, Mengheng - In: International journal of forecasting 35 (2019) 4, pp. 1735-1747
Persistent link: https://www.econbiz.de/10012305526
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Mixed-frequency cointegrating regressions with parsimonious distributed lag structures
Miller, J. Isaac - In: Journal of financial econometrics : official journal of … 12 (2014) 3, pp. 584-614
Persistent link: https://www.econbiz.de/10010391945
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