Forecasting unemployment in Brazil: A robust reconciliation approach using hierarchical data
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DOI: 10.1016/j.seps.2022.101298
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- da Silva, Felipe L.C. & Cyrino Oliveira, Fernando L. & Souza, Reinaldo C., 2019. "A bottom-up bayesian extension for long term electricity consumption forecasting," Energy, Elsevier, vol. 167(C), pages 198-210.
- Peter R. Winters, 1960. "Forecasting Sales by Exponentially Weighted Moving Averages," Management Science, INFORMS, vol. 6(3), pages 324-342, April.
- Bergmeir, Christoph & Hyndman, Rob J. & Koo, Bonsoo, 2018. "A note on the validity of cross-validation for evaluating autoregressive time series prediction," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 70-83.
- Hyndman, Rob J. & Koehler, Anne B. & Snyder, Ralph D. & Grose, Simone, 2002.
"A state space framework for automatic forecasting using exponential smoothing methods,"
International Journal of Forecasting, Elsevier, vol. 18(3), pages 439-454.
- Hyndman, R.J. & Koehler, A.B. & Snyder, R.D. & Grose, S., 2000. "A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods," Monash Econometrics and Business Statistics Working Papers 9/00, Monash University, Department of Econometrics and Business Statistics.
- Taylor, James W., 2003. "Exponential smoothing with a damped multiplicative trend," International Journal of Forecasting, Elsevier, vol. 19(4), pages 715-725.
- Kourentzes, Nikolaos & Athanasopoulos, George, 2019.
"Cross-temporal coherent forecasts for Australian tourism,"
Annals of Tourism Research, Elsevier, vol. 75(C), pages 393-409.
- Nikolaos Kourentzes & George Athanasopoulos, 2018. "Cross-temporal coherent forecasts for Australian tourism," Monash Econometrics and Business Statistics Working Papers 24/18, Monash University, Department of Econometrics and Business Statistics.
- Croux, Christophe & Gelper, Sarah & Mahieu, Koen, 2010. "Robust exponential smoothing of multivariate time series," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 2999-3006, December.
- Athanasopoulos, George & Hyndman, Rob J. & Song, Haiyan & Wu, Doris C., 2011.
"The tourism forecasting competition,"
International Journal of Forecasting, Elsevier, vol. 27(3), pages 822-844, July.
- Athanasopoulos, George & Hyndman, Rob J. & Song, Haiyan & Wu, Doris C., 2011. "The tourism forecasting competition," International Journal of Forecasting, Elsevier, vol. 27(3), pages 822-844.
- George Athanasopoulos & Rob J Hyndman & Haiyan Song & Doris C Wu, 2008. "The tourism forecasting competition," Monash Econometrics and Business Statistics Working Papers 10/08, Monash University, Department of Econometrics and Business Statistics, revised Oct 2009.
- Meira, Erick & Cyrino Oliveira, Fernando Luiz & de Menezes, Lilian M., 2022. "Forecasting natural gas consumption using Bagging and modified regularization techniques," Energy Economics, Elsevier, vol. 106(C).
- Shanika L. Wickramasuriya & George Athanasopoulos & Rob J. Hyndman, 2019.
"Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 804-819, April.
- Shanika L. Wickramasuriya & George Athanasopoulos & Rob J. Hyndman, 2017. "Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization," Monash Econometrics and Business Statistics Working Papers 22/17, Monash University, Department of Econometrics and Business Statistics.
- Zellner, Arnold & Tobias, Justin, 1998.
"A Note on Aggregation, Disaggregation and Forecasting Performance,"
CUDARE Working Papers
198677, University of California, Berkeley, Department of Agricultural and Resource Economics.
- Zellner, Arnold & Tobias, Justin, 2004. "A Note on Aggregation, Disaggregation and Forecasting Performance," Staff General Research Papers Archive 12371, Iowa State University, Department of Economics.
- Tobias, Justin & Zellner, Arnold, 2000. "A Note on Aggregation, Disaggregation and Forecasting Performance," Staff General Research Papers Archive 12024, Iowa State University, Department of Economics.
- Panagiotelis, Anastasios & Athanasopoulos, George & Gamakumara, Puwasala & Hyndman, Rob J., 2021.
"Forecast reconciliation: A geometric view with new insights on bias correction,"
International Journal of Forecasting, Elsevier, vol. 37(1), pages 343-359.
- Anastasios Panagiotelis & Puwasala Gamakumara & George Athanasopoulos & Rob J Hyndman, 2019. "Forecast Reconciliation: A geometric View with New Insights on Bias Correction," Monash Econometrics and Business Statistics Working Papers 18/19, Monash University, Department of Econometrics and Business Statistics.
- Anastasios Panagiotelis & Puwasala Gamakumara & George Athanasopoulos & Rob J Hyndman, 2020. "Forecast Reconciliation: A geometric View with New Insights on Bias Correction," Monash Econometrics and Business Statistics Working Papers 23/20, Monash University, Department of Econometrics and Business Statistics.
- Athanasopoulos, George & Ahmed, Roman A. & Hyndman, Rob J., 2009.
"Hierarchical forecasts for Australian domestic tourism,"
International Journal of Forecasting, Elsevier, vol. 25(1), pages 146-166.
- George Athanasopoulos & Roman A. Ahmed & Rob J. Hyndman, 2007. "Hierarchical forecasts for Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers 12/07, Monash University, Department of Econometrics and Business Statistics, revised Nov 2007.
- Athanasopoulos, George & Hyndman, Rob J. & Kourentzes, Nikolaos & Petropoulos, Fotios, 2017.
"Forecasting with temporal hierarchies,"
European Journal of Operational Research, Elsevier, vol. 262(1), pages 60-74.
- George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Fotios Petropoulos, 2015. "Forecasting with Temporal Hierarchies," Monash Econometrics and Business Statistics Working Papers 16/15, Monash University, Department of Econometrics and Business Statistics.
- Athanasopoulos, George & Hyndman, Rob J. & Kourentzes, Nikolaos & Petropoulos, Fotios, 2015. "Forecasting with Temporal Hierarchies," MPRA Paper 66362, University Library of Munich, Germany.
- Hollyman, Ross & Petropoulos, Fotios & Tipping, Michael E., 2021. "Understanding forecast reconciliation," European Journal of Operational Research, Elsevier, vol. 294(1), pages 149-160.
- Hyndman, Rob J. & Lee, Alan J. & Wang, Earo, 2016.
"Fast computation of reconciled forecasts for hierarchical and grouped time series,"
Computational Statistics & Data Analysis, Elsevier, vol. 97(C), pages 16-32.
- Rob J Hyndman & Alan Lee & Earo Wang, 2014. "Fast computation of reconciled forecasts for hierarchical and grouped time series," Monash Econometrics and Business Statistics Working Papers 17/14, Monash University, Department of Econometrics and Business Statistics.
- Dantas, Tiago Mendes & Cyrino Oliveira, Fernando Luiz, 2018. "Improving time series forecasting: An approach combining bootstrap aggregation, clusters and exponential smoothing," International Journal of Forecasting, Elsevier, vol. 34(4), pages 748-761.
- Barnichon, Regis & Garda, Paula, 2016.
"Forecasting unemployment across countries: The ins and outs,"
European Economic Review, Elsevier, vol. 84(C), pages 165-183.
- Barnichon, Regis & Garda, Paula, 2015. "Forecasting Unemployment across Countries: the Ins and Outs," CEPR Discussion Papers 10910, C.E.P.R. Discussion Papers.
- Torrini, Fabiano Castro & Souza, Reinaldo Castro & Cyrino Oliveira, Fernando Luiz & Moreira Pessanha, Jose Francisco, 2016. "Long term electricity consumption forecast in Brazil: A fuzzy logic approach," Socio-Economic Planning Sciences, Elsevier, vol. 54(C), pages 18-27.
- Souhaib Ben Taieb & James W. Taylor & Rob J. Hyndman, 2017. "Coherent Probabilistic Forecasts for Hierarchical Time Series," Monash Econometrics and Business Statistics Working Papers 3/17, Monash University, Department of Econometrics and Business Statistics.
- George Athanasopoulos & Nikolaos Kourentzes, 2020. "On the Evaluation of Hierarchical Forecasts," Monash Econometrics and Business Statistics Working Papers 2/20, Monash University, Department of Econometrics and Business Statistics.
- Hyndman, Rob J. & Ahmed, Roman A. & Athanasopoulos, George & Shang, Han Lin, 2011.
"Optimal combination forecasts for hierarchical time series,"
Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2579-2589, September.
- Rob J. Hyndman & Roman A. Ahmed & George Athanasopoulos, 2007. "Optimal combination forecasts for hierarchical time series," Monash Econometrics and Business Statistics Working Papers 9/07, Monash University, Department of Econometrics and Business Statistics.
- van der Veen, Anne & Evers, Gerard, 1983. "A simultaneous model for regional labor supply, incorporating labor force participation, commuting and migration," Socio-Economic Planning Sciences, Elsevier, vol. 17(5-6), pages 239-250.
- Bagchi, Aniruddha & Paul, Jomon A., 2018. "Youth unemployment and terrorism in the MENAP (Middle East, North Africa, Afghanistan, and Pakistan) region," Socio-Economic Planning Sciences, Elsevier, vol. 64(C), pages 9-20.
- Meira, Erick & Cyrino Oliveira, Fernando Luiz & Jeon, Jooyoung, 2021. "Treating and Pruning: New approaches to forecasting model selection and combination using prediction intervals," International Journal of Forecasting, Elsevier, vol. 37(2), pages 547-568.
- Kinney, Wr, 1971. "Predicting Earnings - Entity Versus Subentity Data," Journal of Accounting Research, Wiley Blackwell, vol. 9(1), pages 127-136.
- Smucler, Ezequiel & Yohai, Victor J., 2017. "Robust and sparse estimators for linear regression models," Computational Statistics & Data Analysis, Elsevier, vol. 111(C), pages 116-130.
- Rousseeuw, Peter & Perrotta, Domenico & Riani, Marco & Hubert, Mia, 2019. "Robust Monitoring of Time Series with Application to Fraud Detection," Econometrics and Statistics, Elsevier, vol. 9(C), pages 108-121.
- de Oliveira, Erick Meira & Cyrino Oliveira, Fernando Luiz, 2018. "Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods," Energy, Elsevier, vol. 144(C), pages 776-788.
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Cited by:
- Athanasopoulos, George & Hyndman, Rob J. & Kourentzes, Nikolaos & Panagiotelis, Anastasios, 2024.
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- George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Anastasios Panagiotelis, 2023. "Forecast Reconciliation: A Review," Monash Econometrics and Business Statistics Working Papers 8/23, Monash University, Department of Econometrics and Business Statistics.
- Meira, Erick & Lila, Maurício Franca & Cyrino Oliveira, Fernando Luiz, 2023. "A novel reconciliation approach for hierarchical electricity consumption forecasting based on resistant regression," Energy, Elsevier, vol. 269(C).
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Keywords
Unemployment; Forecasting; Labor force survey; Hierarchical time series; Reconciliation methods; Robust estimation;All these keywords.
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