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Enders, Walter; Liu, Yu; Prodan, Ruxandra - In: Defence and peace economics 20 (2009) 6, pp. 441-463

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Prognose von Firmennachfragereihen anhand von dynamischen Regressionen mit Surveydaten

Stock, Kurt - 1998

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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

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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

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Tourism forecasting performance considering the instability of demand elasticities

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Dynamic heterogeneous panel data analysis of tourism demand for Singapore

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

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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 …

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

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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. …

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Econometric forecasting of tourist arrivals using Bayesian structural time-series

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