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Prognose von Firmennachfragereihen anhand von dynamischen Regressionen mit Surveydaten

Stock, Kurt - 1998

Persistent link: https://www.econbiz.de/10001390869

A new approach to modelling and forecasting monthly guest nights in hotels

Brännäs, Kurt; Hellström, Jörgen; Nordström, Jonas - 1999

Persistent link: https://www.econbiz.de/10001398533

Estimating demand function for electricity in industrial sector of Iran using structural time series model (STSM)

Shirani-Fakhr, Zohreh; Khoshakhlagh, Rahman; Sharifi, … - In: Applied econometrics and international development 15 (2015) 1, pp. 143-160

Persistent link: https://www.econbiz.de/10011700807

Univariate and multivariate forecasting of tourism demand using state-space models

Jorge-González, Elisa; González-Dávila, Enrique; … - In: Tourism economics : the business and finance of tourism … 26 (2020) 4, pp. 598-621

Persistent link: https://www.econbiz.de/10012216467

Tourism forecasting performance considering the instability of demand elasticities

Smeral, Egon - In: Journal of travel research : a quarterly publication of … 56 (2017) 7, pp. 913-926

Persistent link: https://www.econbiz.de/10011731312

Dynamic heterogeneous panel data analysis of tourism demand for Singapore

Lim, Christine; Zhu, Liang - In: Journal of travel and tourism marketing 34 (2017) 9, pp. 1224-1234

Persistent link: https://www.econbiz.de/10011758980

Time Varying Parameters Bayesian Forecasting of Electricity Demand : The Italian Case

Grasso, Margherita - 2010

Electricity demand is modeled as a time-varying parameters (TVP) vector autoegression with or without imposing … correction model (VECM). Considering Italian data, the appropriate diagnostic tests and estimation results are in favour of non …

Persistent link: https://www.econbiz.de/10014193091

Effects of multiple financial news shocks on tourism demand volatility modelling and forecasting

Zhang, Yuruixian; Choo, Wei Chong; Yuhanis Abdul Aziz; … - In: Journal of risk and financial management : JRFM 15 (2022) 7, pp. 1-47

economics and financial markets, the effects of combining multiple news shocks on the volatility of tourism demand have not yet … GJRGARCH-FFNSs model is the best model for Malaysian tourism demand volatility forecasting accuracy. Furthermore, KLCI and Gold … asymmetry impacts on tourism demand volatility. …

Persistent link: https://www.econbiz.de/10013369139

Econometric forecasting of tourist arrivals using Bayesian structural time-series

Andrews, Antony; Kimpton, Sean - In: Economic papers 42 (2023) 2, pp. 200-211

Persistent link: https://www.econbiz.de/10014365142

Is peer-to-peer demand cointegrated at the listing level?

Pérez Rodríguez, Jorge V.; Rachinger, Heiko; … - In: Empirical economics : a quarterly journal of the … 66 (2024) 5, pp. 2249-2275

Persistent link: https://www.econbiz.de/10014520147

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