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Real-time forecasting regional tourism with business sentiment surveys. (2015). Guizzardi, Andrea ; Stacchini, Annalisa.
In: Tourism Management.
RePEc:eee:touman:v:47:y:2015:i:c:p:213-223.

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  1. Forecasting hotel room demand amid COVID-19. (2022). Lu, Jiangping ; Zhang, Hanyuan.
    In: Tourism Economics.
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  2. Predicting international tourist arrivals in Greece with a novel sector-specific business leading indicator. (2022). Kapopoulos, Panayotis ; Drakos, Konstantinos ; Anastasiou, Dimitris.
    In: MPRA Paper.
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  3. Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling. (2022). Taya, Hafsa ; Ouassou, El Houssin.
    In: Forecasting.
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  4. ‘Modelling’ UK tourism demand using fashion retail sales. (2022). Hassani, Hossein ; Silva, Emmanuel Sirimal.
    In: Annals of Tourism Research.
    RePEc:eee:anture:v:95:y:2022:i:c:s0160738322000792.

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  5. Business Confidence and Business Tourism in Japan. (2021). Ghosh, Sudeshna.
    In: Journal of International Commerce, Economics and Policy (JICEP).
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  6. Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests. (2021). Gunter, Ulrich.
    In: Forecasting.
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  7. Big data from dynamic pricing: A smart approach to tourism demand forecasting. (2021). Ranieri, Ercolino ; Angelini, Giovanni ; Emanuele, Flavio Maria ; Guizzardi, Andrea.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:37:y:2021:i:3:p:1049-1060.

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  8. Bayesian BILSTM approach for tourism demand forecasting. (2020). Sharma, Mayank ; Krishnaswamy, Venkataraghavan ; Kulshrestha, Anurag.
    In: Annals of Tourism Research.
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  9. .

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  10. .

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  11. Empirical modelling of survey-based expectations for the design of economic indicators in five European regions. (2019). Claveria, Oscar ; Torra, Salvador ; Monte, Enric.
    In: Empirica.
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  12. Evolutionary Computation for Macroeconomic Forecasting. (2019). Claveria, Oscar ; Torra, Salvador ; Monte, Enric.
    In: Computational Economics.
    RePEc:kap:compec:v:53:y:2019:i:2:d:10.1007_s10614-017-9767-4.

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  13. Tourism demand forecasting: A deep learning approach. (2019). Han, Xin ; Ka, Davis ; Li, Gang ; Law, Rob.
    In: Annals of Tourism Research.
    RePEc:eee:anture:v:75:y:2019:i:c:p:410-423.

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  14. A review of research on tourism demand forecasting. (2019). Park, Jinah ; Song, Haiyan.
    In: Annals of Tourism Research.
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  15. Spatial-temporal forecasting of tourism demand. (2019). Zhang, Honglei ; Yang, Yang.
    In: Annals of Tourism Research.
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  16. A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric.
    In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
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  17. “A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric.
    In: IREA Working Papers.
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  18. “Tracking economic growth by evolving expectations via genetic programming: A two-step approach”. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric.
    In: IREA Working Papers.
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  19. “A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric.
    In: AQR Working Papers.
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  20. “Tracking economic growth by evolving expectations via genetic programming: A two-step approach”. (2018). Claveria, Oscar ; Torra, Salvador ; Monte, Enric.
    In: AQR Working Papers.
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  21. Comparing forecasts for tourism dynamics in Medellín, Colombia. (2017). Vanegas, Juan Gabriel ; Cardenas, Marisol Valencia ; Restrepo, Jorge Anibal ; Correa, Juan Carlos .
    In: Lecturas de Economía.
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  22. Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming. (2017). Claveria, Oscar ; Torra, Salvador ; Monte, Enric.
    In: IREA Working Papers.
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  23. “Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting. (2017). Claveria, Oscar ; Monte, Enric ; Torra, Salvador.
    In: IREA Working Papers.
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  24. Forecasting tourism demand with composite search index. (2017). Li, Xin ; Huang, Xiankai ; Law, Rob ; Pan, Bing.
    In: Tourism Management.
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  25. Cross country relations in European tourist arrivals. (2017). Silva, Emmanuel Sirimal ; Hassani, Hossein ; Heravi, Saeed ; Ghodsi, Mansi .
    In: Annals of Tourism Research.
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  26. “Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”. (2017). Claveria, Oscar ; Torra, Salvador ; Monte, Enric.
    In: AQR Working Papers.
    RePEc:aqr:wpaper:201706.

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  27. “Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting”. (2017). Claveria, Oscar ; Monte, Enric ; Torra, Salvador.
    In: AQR Working Papers.
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  28. Comparación de pronósticos para la dinámica del turismo en Medellín, Colombia. (2016). Vanegas, Juan Gabriel ; Cardenas, Marisol Valencia ; Restrepo, Jorge Anibal ; Correa, Juan Carlos .
    In: REVISTA LECTURAS DE ECONOMÍA.
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  29. “Self-organizing map analysis of agents expectations. Different patterns of anticipation of the 2008 financial crisis”. (2015). Claveria, Oscar ; Monte, Enric ; Torra, Salvador.
    In: IREA Working Papers.
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  30. “Regional Forecasting with Support Vector Regressions: The Case of Spain”. (2015). Claveria, Oscar ; Monte, Enric ; Torra, Salvador.
    In: IREA Working Papers.
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  31. “Multiple-input multiple-output vs. single-input single-output neural network forecasting”. (2015). Claveria, Oscar ; Monte, Enric ; Torra, Salvador.
    In: IREA Working Papers.
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  32. “Self-organizing map analysis of agents’ expectations. Different patterns of anticipation of the 2008 financial crisis”. (2015). Claveria, Oscar ; Monte, Enric ; Torra, Salvador.
    In: AQR Working Papers.
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  33. “Regional Forecasting with Support Vector Regressions: The Case of Spain”. (2015). Claveria, Oscar ; Monte, Enric ; Torra, Salvador.
    In: AQR Working Papers.
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  34. “Multiple-input multiple-output vs. single-input single-output neural network forecasting”. (2015). Claveria, Oscar ; Monte, Enric ; Torra, Salvador.
    In: AQR Working Papers.
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  26. Forty Years of Oil Price Fluctuations: Why the Price of Oil May Still Surprise Us. (2016). Kilian, Lutz ; Baumeister, Christiane.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_5709.

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  27. A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil. (2016). Kilian, Lutz ; Baumeister, Christiane.
    In: Staff Working Papers.
    RePEc:bca:bocawp:16-18.

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  28. Forecasting Meat Prices using Consumer Expectations from the Food Demand Survey (FooDS). (2016). Lusk, Jayson ; Brorsen, B ; Ates, Aaron M.
    In: 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas.
    RePEc:ags:saea16:229858.

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  29. Forty Years of Oil Price Fluctuations: Why the Price of Oil May Still Surprise Us. (2016). Kilian, Lutz ; Baumeister, Christiane.
    In: Journal of Economic Perspectives.
    RePEc:aea:jecper:v:30:y:2016:i:1:p:139-60.

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  30. Forty years of oil price fluctuations: Why the price of oil may still surprise us. (2015). Kilian, Lutz ; Baumeister, Christiane.
    In: CFS Working Paper Series.
    RePEc:zbw:cfswop:525.

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  31. Inside the crystal ball: New approaches to predicting the gasoline price at the pump. (2015). Kilian, Lutz ; Baumeister, Christiane ; Lee, Thomas K..
    In: CFS Working Paper Series.
    RePEc:zbw:cfswop:500.

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  32. Directed Technological Change and Energy Efficiency Improvements. (2015). Witajewski-Baltvilks, Jan ; Verdolini, Elena ; Tavoni, Massimo.
    In: Working Papers.
    RePEc:fem:femwpa:2015.78.

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  33. Real-time forecasting regional tourism with business sentiment surveys. (2015). Guizzardi, Andrea ; Stacchini, Annalisa.
    In: Tourism Management.
    RePEc:eee:touman:v:47:y:2015:i:c:p:213-223.

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  34. U.S. consumer attitudes and expectations about energy. (2015). DeCicco, John ; Neidert, Lisa ; Muoz, Diegohorna ; Keusch, Florian ; Yan, Ting .
    In: Energy Policy.
    RePEc:eee:enepol:v:86:y:2015:i:c:p:749-758.

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  35. Predicting gasoline prices using Michigan survey data. (2015). Baghestani, Hamid.
    In: Energy Economics.
    RePEc:eee:eneeco:v:50:y:2015:i:c:p:27-32.

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  36. Demand information and spot price information: Supply chains trading in spot markets. (2015). Zhao, Xuan ; Wang, Shouyang ; Liu, Liming ; Xing, Wei.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:246:y:2015:i:3:p:837-849.

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  37. An econometric analysis of retail gasoline prices in a border metropolitan economy. (2015). Fullerton, Thomas ; Walke, Adam G ; Jimenez, Alan A.
    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:34:y:2015:i:c:p:450-461.

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  38. Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump. (2015). Kilian, Lutz ; Baumeister, Christiane ; Lee, Thomas K.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:10362.

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  39. How Consumers Respond to Environmental Certification and the Value of Energy Information. (2014). Houde, Sebastien.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:20019.

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  40. The Rebound Effect for Automobile Travel:Asymmetric Response to Price Changes and Novel Features of the 2000s. (2014). Small, Kenneth ; Hymel, Kent M..
    In: Working Papers.
    RePEc:irv:wpaper:141503.

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  41. What do consumers believe about future gasoline prices?. (2013). Sallee, James ; Kellogg, Ryan ; Anderson, Soren.
    In: Journal of Environmental Economics and Management.
    RePEc:eee:jeeman:v:66:y:2013:i:3:p:383-403.

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  42. Attention, Media and Fuel Efficiency. (2012). Thoenes, Stefan ; Gores, Timo .
    In: EWI Working Papers.
    RePEc:ris:ewikln:2012_011.

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  43. Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry. (2012). van Reenen, John ; Martin, Ralf ; Hemous, David ; Dechezleprêtre, Antoine ; Aghion, Philippe ; Dechezlepretre, Antoine ; VanReenen, John .
    In: NBER Working Papers.
    RePEc:nbr:nberwo:18596.

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  44. Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry. (2012). van Reenen, John ; Martin, Ralf ; Hemous, David ; Dechezleprêtre, Antoine ; Aghion, Philippe ; Dechezlepretre, Antoine ; VanReenen, John .
    In: GRI Working Papers.
    RePEc:lsg:lsgwps:wp102.

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  45. Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry. (2012). van Reenen, John ; Martin, Ralf ; Hemous, David ; Dechezleprêtre, Antoine ; Aghion, Philippe ; Dechezlepretre, Antoine ; VanReenen, John .
    In: Working Papers.
    RePEc:fem:femwpa:2012.99.

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  46. Carbon taxes, path dependency and directed technical change: evidence from the auto industry. (2012). van Reenen, John ; Martin, Ralf ; Hemous, David ; Dechezleprêtre, Antoine ; Aghion, Philippe ; Dechezlepretre, Antoine ; VanReenen, John .
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:48936.

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  47. Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry. (2012). van Reenen, John ; Martin, Ralf ; Hemous, David ; Dechezleprêtre, Antoine ; Aghion, Philippe ; Dechezlepretre, Antoine ; VanReenen, John .
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:9267.

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  48. Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry. (2012). van Reenen, John ; Martin, Ralf ; Hemous, David ; Dechezleprêtre, Antoine ; Aghion, Philippe ; Dechezlepretre, Antoine ; VanReenen, John .
    In: CEP Discussion Papers.
    RePEc:cep:cepdps:dp1178.

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  49. What Do Consumers Believe About Future Gasoline Prices?. (2011). Sallee, James ; Kellogg, Ryan ; Anderson, Soren.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:16974.

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  50. The cost of fuel economy in the Indian passenger vehicle market. (2011). Cropper, Maureen ; Narain, Urvashi ; Chugh, Randy .
    In: Energy Policy.
    RePEc:eee:enepol:v:39:y:2011:i:11:p:7174-7183.

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