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Volumn 46, Issue , 2015, Pages 322-335

Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis

Author keywords

ARIMA; Exponential smoothing; Forecasting; Neural networks; Singular spectrum analysis; Tourism demand; Tourist arrivals; United States

Indexed keywords

ARTIFICIAL NEURAL NETWORK; PERFORMANCE ASSESSMENT; SMOOTHING; TIME SERIES ANALYSIS; TOURISM; TOURIST BEHAVIOR; FORECASTING METHOD; SPECTRAL ANALYSIS; TOURISM DEVELOPMENT;

EID: 84905372214     PISSN: None     EISSN: 02615177     Source Type: Journal    
DOI: 10.1016/j.tourman.2014.07.004     Document Type: Article
Times cited : (129)

References (72)
  • 1
    • 77952755882 scopus 로고    scopus 로고
    • Forecasting British tourist arrivals in the Balearic Islands using meteorological variables
    • Álvarez-Díaz M., Rosselló-Nadal J. Forecasting British tourist arrivals in the Balearic Islands using meteorological variables. Tourism Economics 2010, 16(1):153-168.
    • (2010) Tourism Economics , vol.16 , Issue.1 , pp. 153-168
    • Álvarez-Díaz, M.1    Rosselló-Nadal, J.2
  • 2
    • 79956344554 scopus 로고    scopus 로고
    • Combination of long term and short term forecasts, with application to tourism demand forecasting
    • Andrawis R.R., Atiya A.F., El-Shishiny H. Combination of long term and short term forecasts, with application to tourism demand forecasting. International Journal of Forecasting 2011, 27(3):870-886.
    • (2011) International Journal of Forecasting , vol.27 , Issue.3 , pp. 870-886
    • Andrawis, R.R.1    Atiya, A.F.2    El-Shishiny, H.3
  • 3
    • 79952344325 scopus 로고    scopus 로고
    • Persistence in the short and long-term tourist arrivals to Australia
    • Assaf A.G., Barros C.P., Gil-Alana L.A. Persistence in the short and long-term tourist arrivals to Australia. Journal of Travel Research 2011, 50(2):213-229.
    • (2011) Journal of Travel Research , vol.50 , Issue.2 , pp. 213-229
    • Assaf, A.G.1    Barros, C.P.2    Gil-Alana, L.A.3
  • 4
    • 84865054125 scopus 로고    scopus 로고
    • Multivariate exponential smoothing for forecasting tourist arrivals
    • Athanasopoulos G., de Silva A. Multivariate exponential smoothing for forecasting tourist arrivals. Journal of Travel Research 2012, 51(5):640-652.
    • (2012) Journal of Travel Research , vol.51 , Issue.5 , pp. 640-652
    • Athanasopoulos, G.1    de Silva, A.2
  • 5
    • 0037286212 scopus 로고    scopus 로고
    • Computation and analysis of multiple structural change models
    • Bai J., Perron P. Computation and analysis of multiple structural change models. Journal of Applied Econometrics 2003, 18(1):1-22.
    • (2003) Journal of Applied Econometrics , vol.18 , Issue.1 , pp. 1-22
    • Bai, J.1    Perron, P.2
  • 6
    • 84863729146 scopus 로고    scopus 로고
    • Signal extraction and forecasting of the UK tourism income time series: a Singular Spectrum Analysis approach
    • Beneki C., Eeckels B., Leon C. Signal extraction and forecasting of the UK tourism income time series: a Singular Spectrum Analysis approach. Journal of Forecasting 2012, 31(5):391-400.
    • (2012) Journal of Forecasting , vol.31 , Issue.5 , pp. 391-400
    • Beneki, C.1    Eeckels, B.2    Leon, C.3
  • 8
    • 42449156579 scopus 로고
    • Generalized autoregressive conditional heteroskedasticity
    • Bollerslev T. Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics 1986, 31(3):307-327.
    • (1986) Journal of Econometrics , vol.31 , Issue.3 , pp. 307-327
    • Bollerslev, T.1
  • 10
    • 34249988665 scopus 로고
    • Extracting qualitative dynamics from experimental data
    • Broomhead D.S., King G.P. Extracting qualitative dynamics from experimental data. Physica D: Nonlinear Phenomena 1986, 20(2-3):217-236.
    • (1986) Physica D: Nonlinear Phenomena , vol.20 , Issue.2-3 , pp. 217-236
    • Broomhead, D.S.1    King, G.P.2
  • 11
    • 0001393644 scopus 로고
    • On the qualitative analysis of experimental dynamical systems
    • Adam Hilger, Bristol, S. Sarkar (Ed.)
    • Broomhead D.S., King G.P. On the qualitative analysis of experimental dynamical systems. Nonlinear phenomena and chaos 1986, 113-144. Adam Hilger, Bristol. S. Sarkar (Ed.).
    • (1986) Nonlinear phenomena and chaos , pp. 113-144
    • Broomhead, D.S.1    King, G.P.2
  • 12
    • 79551569986 scopus 로고    scopus 로고
    • Anon-linear tourism demand forecast combination model
    • Cang S. Anon-linear tourism demand forecast combination model. Tourism Economics 2011, 17(1):5-20.
    • (2011) Tourism Economics , vol.17 , Issue.1 , pp. 5-20
    • Cang, S.1
  • 13
    • 79951813934 scopus 로고    scopus 로고
    • Spectral analysis of seasonality in tourism demand
    • Chan F., Lim C. Spectral analysis of seasonality in tourism demand. Mathematics and Computers in Simulation 2011, 81(7):1409-1418.
    • (2011) Mathematics and Computers in Simulation , vol.81 , Issue.7 , pp. 1409-1418
    • Chan, F.1    Lim, C.2
  • 14
    • 0041813336 scopus 로고    scopus 로고
    • Acomparison of three different approaches to tourist arrival forecasting
    • Cho V. Acomparison of three different approaches to tourist arrival forecasting. Tourism Management 2003, 24(3):323-330.
    • (2003) Tourism Management , vol.24 , Issue.3 , pp. 323-330
    • Cho, V.1
  • 15
    • 35148849301 scopus 로고    scopus 로고
    • Afractionally integrated autoregressive moving average approach to forecasting tourism demand
    • Chu F.L. Afractionally integrated autoregressive moving average approach to forecasting tourism demand. Tourism Management 2008, 29(1):79-88.
    • (2008) Tourism Management , vol.29 , Issue.1 , pp. 79-88
    • Chu, F.L.1
  • 16
    • 79960304270 scopus 로고    scopus 로고
    • Apiecewise linear approach to modeling and forecasting demand for Macau tourism
    • Chu F.L. Apiecewise linear approach to modeling and forecasting demand for Macau tourism. Tourism Management 2011, 32(6):1414-1420.
    • (2011) Tourism Management , vol.32 , Issue.6 , pp. 1414-1420
    • Chu, F.L.1
  • 18
    • 67349222263 scopus 로고    scopus 로고
    • Combining volatility and smoothing forecasts of UK demand for international tourism
    • Coshall J.T. Combining volatility and smoothing forecasts of UK demand for international tourism. Tourism Management 2009, 30(4):495-511.
    • (2009) Tourism Management , vol.30 , Issue.4 , pp. 495-511
    • Coshall, J.T.1
  • 19
    • 84863782868 scopus 로고    scopus 로고
    • Amanagement orientated approach to combination forecasting of tourism demand
    • Coshall J.T., Charlesworth R. Amanagement orientated approach to combination forecasting of tourism demand. Tourism Management 2011, 32(4):759-769.
    • (2011) Tourism Management , vol.32 , Issue.4 , pp. 759-769
    • Coshall, J.T.1    Charlesworth, R.2
  • 20
    • 0002715074 scopus 로고    scopus 로고
    • Forecasting the short-term demand for electricity: do neural networks stand a better chance?
    • Darbellay G.A., Slama M. Forecasting the short-term demand for electricity: do neural networks stand a better chance?. International Journal of Forecasting 2000, 16(1):71-83.
    • (2000) International Journal of Forecasting , vol.16 , Issue.1 , pp. 71-83
    • Darbellay, G.A.1    Slama, M.2
  • 22
    • 79960312308 scopus 로고    scopus 로고
    • The impact of mega-sport events on tourist arrivals
    • Fourie J., Santana-Gallego M. The impact of mega-sport events on tourist arrivals. Tourism Management 2011, 32(6):1364-1370.
    • (2011) Tourism Management , vol.32 , Issue.6 , pp. 1364-1370
    • Fourie, J.1    Santana-Gallego, M.2
  • 25
    • 26844454541 scopus 로고    scopus 로고
    • Modelling international monthly arrivals using seasonal univariate long-memory processes
    • Gil-Alana L.A. Modelling international monthly arrivals using seasonal univariate long-memory processes. Tourism Management 2005, 26(6):867-878.
    • (2005) Tourism Management , vol.26 , Issue.6 , pp. 867-878
    • Gil-Alana, L.A.1
  • 26
    • 0036783651 scopus 로고    scopus 로고
    • Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention
    • Goh C., Law R. Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention. Tourism Management 2002, 23(5):499-510.
    • (2002) Tourism Management , vol.23 , Issue.5 , pp. 499-510
    • Goh, C.1    Law, R.2
  • 28
    • 84860013343 scopus 로고    scopus 로고
    • Forecasting tourist arrivals in Greece and the impact of macroeconomic shocks from the countries of tourists origin
    • Gounopoulos D., Petmezas D., Santamaria D. Forecasting tourist arrivals in Greece and the impact of macroeconomic shocks from the countries of tourists origin. Annals of Tourism Research 2012, 39(2):641-666.
    • (2012) Annals of Tourism Research , vol.39 , Issue.2 , pp. 641-666
    • Gounopoulos, D.1    Petmezas, D.2    Santamaria, D.3
  • 29
    • 0033801487 scopus 로고    scopus 로고
    • Forecasting tourism demand: an STM approach
    • Greenidge K. Forecasting tourism demand: an STM approach. Annals of Tourism Research 2001, 28(1):98-112.
    • (2001) Annals of Tourism Research , vol.28 , Issue.1 , pp. 98-112
    • Greenidge, K.1
  • 32
    • 41749116136 scopus 로고    scopus 로고
    • Singular Spectrum Analysis (SSA): methodology and comparison
    • Hassani H. Singular Spectrum Analysis (SSA): methodology and comparison. Journal of Data Science 2007, 5(2):239-257.
    • (2007) Journal of Data Science , vol.5 , Issue.2 , pp. 239-257
    • Hassani, H.1
  • 33
    • 58949091426 scopus 로고    scopus 로고
    • Forecasting European industrial production with Singular Spectrum Analysis
    • Hassani H., Heravi H., Zhigljavsky A. Forecasting European industrial production with Singular Spectrum Analysis. International Journal of Forecasting 2009, 25(1):103-118.
    • (2009) International Journal of Forecasting , vol.25 , Issue.1 , pp. 103-118
    • Hassani, H.1    Heravi, H.2    Zhigljavsky, A.3
  • 34
    • 84893555436 scopus 로고    scopus 로고
    • Forecasting UK industrial production with multivariate Singular Spectrum Analysis
    • Hassani H., Heravi H., Zhigljavsky A. Forecasting UK industrial production with multivariate Singular Spectrum Analysis. Journal of Forecasting 2013, 32(5):395-408.
    • (2013) Journal of Forecasting , vol.32 , Issue.5 , pp. 395-408
    • Hassani, H.1    Heravi, H.2    Zhigljavsky, A.3
  • 35
    • 84884498702 scopus 로고    scopus 로고
    • Multivariate Singular Spectrum Analysis: a general view and new vector forecasting approach
    • Hassani H., Mahmoudvand R. Multivariate Singular Spectrum Analysis: a general view and new vector forecasting approach. International Journal of Energy and Statistics 2013, 1(1):55-83.
    • (2013) International Journal of Energy and Statistics , vol.1 , Issue.1 , pp. 55-83
    • Hassani, H.1    Mahmoudvand, R.2
  • 37
    • 79957910740 scopus 로고    scopus 로고
    • Areview on Singular Spectrum Analysis for economic and financial time series
    • Hassani H., Thomakos D. Areview on Singular Spectrum Analysis for economic and financial time series. Statistics and Its Interface 2010, 3(3):377-397.
    • (2010) Statistics and Its Interface , vol.3 , Issue.3 , pp. 377-397
    • Hassani, H.1    Thomakos, D.2
  • 38
    • 0036162709 scopus 로고    scopus 로고
    • Astudy in the seasonal variation of Japanese tourist arrivals in Singapore
    • Hui T.K., Yuen C.C. Astudy in the seasonal variation of Japanese tourist arrivals in Singapore. Tourism Management 2002, 23(2):127-131.
    • (2002) Tourism Management , vol.23 , Issue.2 , pp. 127-131
    • Hui, T.K.1    Yuen, C.C.2
  • 39
    • 84905381507 scopus 로고    scopus 로고
    • Available via, Accessed 16.06.14
    • Hyndman R.J. Unit root tests and ARIMA models 2014, Available via, Accessed 16.06.14. http://robjhyndman.com/hyndsight/unit-root-tests/.
    • (2014) Unit root tests and ARIMA models
    • Hyndman, R.J.1
  • 42
    • 48749112805 scopus 로고    scopus 로고
    • Automatic time series forecasting: the forecast Package for R
    • Hyndman R.J., Khandakar Y. Automatic time series forecasting: the forecast Package for R. Journal of Statistical Software 2008, 27(3):1-22.
    • (2008) Journal of Statistical Software , vol.27 , Issue.3 , pp. 1-22
    • Hyndman, R.J.1    Khandakar, Y.2
  • 43
  • 44
    • 75449095492 scopus 로고    scopus 로고
    • Modelling and forecasting tourist flows to Barbados using structural time series models
    • Jackman M., Greenidge K. Modelling and forecasting tourist flows to Barbados using structural time series models. Tourism and Hospitality Research 2010, 10(1):1-13.
    • (2010) Tourism and Hospitality Research , vol.10 , Issue.1 , pp. 1-13
    • Jackman, M.1    Greenidge, K.2
  • 45
    • 33645730092 scopus 로고    scopus 로고
    • Effects of news shock on inbound tourist demand volatility in Korea
    • Kim S.S., Wong K.K. Effects of news shock on inbound tourist demand volatility in Korea. Journal of Travel Research 2006, 44(4):457-466.
    • (2006) Journal of Travel Research , vol.44 , Issue.4 , pp. 457-466
    • Kim, S.S.1    Wong, K.K.2
  • 46
    • 79956354361 scopus 로고    scopus 로고
    • Beyond point forecasting: evaluation of alternative prediction intervals for tourist arrivals
    • Kim J.H., Wong K., Athanasopoulos G., Liu S. Beyond point forecasting: evaluation of alternative prediction intervals for tourist arrivals. International Journal of Forecasting 2011, 27(3):887-901.
    • (2011) International Journal of Forecasting , vol.27 , Issue.3 , pp. 887-901
    • Kim, J.H.1    Wong, K.2    Athanasopoulos, G.3    Liu, S.4
  • 47
    • 34247480179 scopus 로고
    • Testing the null hypothesis of stationarity against the alternative of a unit root
    • Kwiatkowski D., Phillips P.C., Schmidt P., Shin Y. Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics 1992, 54(1-3):159-178.
    • (1992) Journal of Econometrics , vol.54 , Issue.1-3 , pp. 159-178
    • Kwiatkowski, D.1    Phillips, P.C.2    Schmidt, P.3    Shin, Y.4
  • 48
  • 49
    • 0031161765 scopus 로고    scopus 로고
    • Is a random walk the best exchange rate predictor?
    • Lisi F., Medio A. Is a random walk the best exchange rate predictor?. International Journal of Forecasting 1997, 13(2):255-267.
    • (1997) International Journal of Forecasting , vol.13 , Issue.2 , pp. 255-267
    • Lisi, F.1    Medio, A.2
  • 51
    • 77955419573 scopus 로고    scopus 로고
    • Post-SARS tourist arrival recovery patterns: an analysis based on a catastrophe theory
    • Mao C.K., Ding C.G., Lee H.Y. Post-SARS tourist arrival recovery patterns: an analysis based on a catastrophe theory. Tourism Management 2010, 31(6):855-861.
    • (2010) Tourism Management , vol.31 , Issue.6 , pp. 855-861
    • Mao, C.K.1    Ding, C.G.2    Lee, H.Y.3
  • 52
    • 26044462452 scopus 로고    scopus 로고
    • Determinants of tourist arrivals in Africa: a panel data regression analysis
    • Naudé W.A., Saayman A. Determinants of tourist arrivals in Africa: a panel data regression analysis. Tourism Economics 2005, 11(3):365-391.
    • (2005) Tourism Economics , vol.11 , Issue.3 , pp. 365-391
    • Naudé, W.A.1    Saayman, A.2
  • 53
    • 78649870694 scopus 로고    scopus 로고
    • Estimating time series and cross section tourism demand models: Mainland United States to Hawaii data
    • Nelson L.A., Dickey D.A., Smith J.M. Estimating time series and cross section tourism demand models: Mainland United States to Hawaii data. Tourism Management 2011, 32(1):28-38.
    • (2011) Tourism Management , vol.32 , Issue.1 , pp. 28-38
    • Nelson, L.A.1    Dickey, D.A.2    Smith, J.M.3
  • 54
    • 84856703545 scopus 로고    scopus 로고
    • Assessing the impacts of the global economic crisis and swine flu on inbound tourism demand in the United Kingdom
    • Page S., Song H., Wu D.C. Assessing the impacts of the global economic crisis and swine flu on inbound tourism demand in the United Kingdom. Journal of Travel Research 2012, 51(2):142-153.
    • (2012) Journal of Travel Research , vol.51 , Issue.2 , pp. 142-153
    • Page, S.1    Song, H.2    Wu, D.C.3
  • 56
    • 84862543935 scopus 로고    scopus 로고
    • Impact of the Great East Japan earthquake on hotel industry in Pacific Tohoku prefectures
    • Sato A.-H. Impact of the Great East Japan earthquake on hotel industry in Pacific Tohoku prefectures. Progress of Theoretical Physics Supplement 2012, 194:165-172.
    • (2012) Progress of Theoretical Physics Supplement , vol.194 , pp. 165-172
    • Sato, A.-H.1
  • 57
    • 77956645986 scopus 로고    scopus 로고
    • Using the panel cointegration approach to analyse the determinants of tourism demand in South Africa
    • Seetanah B., Durbarry R., Ragodoo J.F. Using the panel cointegration approach to analyse the determinants of tourism demand in South Africa. Tourism Economics 2010, 16(3):715-729.
    • (2010) Tourism Economics , vol.16 , Issue.3 , pp. 715-729
    • Seetanah, B.1    Durbarry, R.2    Ragodoo, J.F.3
  • 58
    • 78650252593 scopus 로고    scopus 로고
    • Use of dynamic panel cointegration approach to model international arrivals to Australia
    • Seetaram N. Use of dynamic panel cointegration approach to model international arrivals to Australia. Journal of Travel Research 2010, 49(4):414-422.
    • (2010) Journal of Travel Research , vol.49 , Issue.4 , pp. 414-422
    • Seetaram, N.1
  • 59
    • 33748705335 scopus 로고    scopus 로고
    • Modelling the uncertainty in monthly international tourist arrivals to the Maldives
    • Shareef R., McAleer M. Modelling the uncertainty in monthly international tourist arrivals to the Maldives. Tourism Management 2007, 28(1):23-45.
    • (2007) Tourism Management , vol.28 , Issue.1 , pp. 23-45
    • Shareef, R.1    McAleer, M.2
  • 60
    • 53549111586 scopus 로고    scopus 로고
    • An assessment of combining tourism demand forecasts over different time horizons
    • Shen S., Li G., Song H. An assessment of combining tourism demand forecasts over different time horizons. Journal of Travel Research 2008, 47(2):197-207.
    • (2008) Journal of Travel Research , vol.47 , Issue.2 , pp. 197-207
    • Shen, S.1    Li, G.2    Song, H.3
  • 61
    • 78650300140 scopus 로고    scopus 로고
    • Combination forecasts of international tourism demand
    • Shen S., Li G., Song H. Combination forecasts of international tourism demand. Annals of Tourism Research 2011, 38(1):72-89.
    • (2011) Annals of Tourism Research , vol.38 , Issue.1 , pp. 72-89
    • Shen, S.1    Li, G.2    Song, H.3
  • 63
    • 84905381759 scopus 로고    scopus 로고
    • Evaluating the effectiveness of parametric and nonparametric energy consumption forecasts for a developing country
    • Silva E.S., Rajapaksa C.R. Evaluating the effectiveness of parametric and nonparametric energy consumption forecasts for a developing country. International Journal of Energy and Statistics 2014, 2(2):89-101.
    • (2014) International Journal of Energy and Statistics , vol.2 , Issue.2 , pp. 89-101
    • Silva, E.S.1    Rajapaksa, C.R.2
  • 64
    • 73649117359 scopus 로고    scopus 로고
    • Impacts of the world recession and economic crisis on tourism: forecasts and potential risks
    • Smeral E. Impacts of the world recession and economic crisis on tourism: forecasts and potential risks. Journal of Travel Research 2010, 49(1):31-38.
    • (2010) Journal of Travel Research , vol.49 , Issue.1 , pp. 31-38
    • Smeral, E.1
  • 65
    • 84863785484 scopus 로고    scopus 로고
    • Tourism economics research: a review and assessment
    • Song H., Dwyer L., Li G., Cao Z. Tourism economics research: a review and assessment. Annals of Tourism Research 2012, 39(3):1653-1682.
    • (2012) Annals of Tourism Research , vol.39 , Issue.3 , pp. 1653-1682
    • Song, H.1    Dwyer, L.2    Li, G.3    Cao, Z.4
  • 66
    • 84858382802 scopus 로고    scopus 로고
    • Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system
    • Song H., Gao B.Z., Lin V.S. Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system. International Journal of Forecasting 2013, 29(2):295-310.
    • (2013) International Journal of Forecasting , vol.29 , Issue.2 , pp. 295-310
    • Song, H.1    Gao, B.Z.2    Lin, V.S.3
  • 67
    • 36549022027 scopus 로고    scopus 로고
    • Tourism demand modelling and forecasting - a review of recent research
    • Song H., Li G. Tourism demand modelling and forecasting - a review of recent research. Tourism Management 2008, 29(2):203-220.
    • (2008) Tourism Management , vol.29 , Issue.2 , pp. 203-220
    • Song, H.1    Li, G.2
  • 68
    • 79956365688 scopus 로고    scopus 로고
    • Forecasting tourist arrivals using time-varying parameter structural time series models
    • Song H., Li G., Witt S.F., Athanasopoulos G. Forecasting tourist arrivals using time-varying parameter structural time series models. International Journal of Forecasting 2011, 27(3):855-869.
    • (2011) International Journal of Forecasting , vol.27 , Issue.3 , pp. 855-869
    • Song, H.1    Li, G.2    Witt, S.F.3    Athanasopoulos, G.4
  • 69
    • 77952771618 scopus 로고    scopus 로고
    • Tourism demand modelling and forecasting: how should demand be measured?
    • Song H., Li G., Witt S.F., Fei B. Tourism demand modelling and forecasting: how should demand be measured?. Tourism Economics 2010, 16(1):63-81.
    • (2010) Tourism Economics , vol.16 , Issue.1 , pp. 63-81
    • Song, H.1    Li, G.2    Witt, S.F.3    Fei, B.4
  • 71
    • 84898055259 scopus 로고    scopus 로고
    • Aggregate vs. disaggregate forecast: case of Hong Kong
    • Wan S.K., Wang S.H., Woo C.K. Aggregate vs. disaggregate forecast: case of Hong Kong. Annals of Tourism Research 2013, 42:434-438.
    • (2013) Annals of Tourism Research , vol.42 , pp. 434-438
    • Wan, S.K.1    Wang, S.H.2    Woo, C.K.3
  • 72
    • 0003123930 scopus 로고    scopus 로고
    • Forecasting with artificial neural networks: the state of the art
    • Zhang G., Patuwo B.E., Hu M.Y. Forecasting with artificial neural networks: the state of the art. International Journal of Forecasting 1998, 14(1):35-62.
    • (1998) International Journal of Forecasting , vol.14 , Issue.1 , pp. 35-62
    • Zhang, G.1    Patuwo, B.E.2    Hu, M.Y.3


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