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Temporal Disaggregation of Time Series

Citations

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Cited by:

  1. João Braz Pinto & João Sousa Andrade, 2015. "A Monetary Analysis of the Liquidity Trap," GEMF Working Papers 2015-06, GEMF, Faculty of Economics, University of Coimbra.
  2. Elzbieta Antczak & Ewa Galecka-Burdziak & Robert Pater, 2016. "Efficiency in spatially disaggregated labour market matching," KAE Working Papers 2016-010, Warsaw School of Economics, Collegium of Economic Analysis.
  3. Fiorelli, Cristiana & Meliciani, Valentina, 2019. "Economic growth in the era of unconventional monetary instruments: A FAVAR approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
  4. Ronald Indergand & Stefan Leist, 2014. "A Real-Time Data Set for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(IV), pages 331-352, December.
  5. Kufenko, Vadim & Khaustova, Ekaterina & Geloso, Vincent, 2022. "Escape underway: Malthusian pressures in late imperial Moscow," Explorations in Economic History, Elsevier, vol. 85(C).
  6. Layna Mosley & Victoria Paniagua & Erik Wibbels, 2020. "Moving markets? Government bond investors and microeconomic policy changes," Economics and Politics, Wiley Blackwell, vol. 32(2), pages 197-249, July.
  7. Petar Sorić & Ivana Lolić & Mirjana Čižmešija, 2016. "European economic sentiment indicator: an empirical reappraisal," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(5), pages 2025-2054, September.
  8. Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
  9. Eslahi, Mohammadehsan & Mazza, Paolo, 2023. "Can weather variables and electricity demand predict carbon emissions allowances prices? Evidence from the first three phases of the EU ETS," Ecological Economics, Elsevier, vol. 214(C).
  10. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
  11. Matthias Uhl, 2014. "State Fiscal Policies and Regional Economic Activity," MAGKS Papers on Economics 201446, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  12. Michael Zhemkov, 2022. "Assessment of Monthly GDP Growth Using Temporal Disaggregation Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 81(2), pages 79-104, June.
  13. Vera Z. Eichenauer & Ronald Indergand & Isabel Z. Martínez & Christoph Sax, 2022. "Obtaining consistent time series from Google Trends," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 694-705, April.
  14. Khee Giap Tan & Randong Yuan & Sangiita Wei Cher Yoong, 2017. "Assessing Development Strategies of Jiangsu and Taiwan: A Geweke Causality Analysis," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-28, December.
  15. Gondo, Rocío & Vega, Marco, 2019. "The dynamics of investment projects: Evidence from Peru," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 324-340.
  16. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
  17. Vladimir Boyko & Nadezhda Kislyak & Mikhail Nikitin & Oleg Oborin, 2020. "Methods for Estimating the Gross Regional Product Leading Indicator," Russian Journal of Money and Finance, Bank of Russia, vol. 79(3), pages 3-29, September.
  18. De Moor, Lieven & Luitel, Prabesh & Sercu, Piet & Vanpée, Rosanne, 2018. "Subjectivity in sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 366-392.
  19. Andreas Dibiasi & David Iselin, 2021. "Measuring Knightian uncertainty," Empirical Economics, Springer, vol. 61(4), pages 2113-2141, October.
  20. David I. Okorie, 2021. "A network analysis of electricity demand and the cryptocurrency markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3093-3108, April.
  21. Tihana Skrinjaric, 2022. "Macroeconomic effects of systemic stress: a rolling spillover index approach," Public Sector Economics, Institute of Public Finance, vol. 46(1), pages 109-140.
  22. Naveed, Kashif & Watanabe, Chihiro & Neittaanmäki, Pekka, 2017. "Co-evolution between streaming and live music leads a way to the sustainable growth of music industry – Lessons from the US experiences," Technology in Society, Elsevier, vol. 50(C), pages 1-19.
  23. Sergio González & Edwin Hernández, 2016. "Indirect impacts of oil prices on economic growth in Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 84, pages 103-141, Enero - J.
  24. Mangani, Andrea, 2021. "When does print media address deforestation? A quantitative analysis of major newspapers from US, UK, and Australia," Forest Policy and Economics, Elsevier, vol. 130(C).
  25. repec:eur:ejfejr:42 is not listed on IDEAS
  26. João Braz Pinto & João Sousa Andrade, 2019. "A Monetary Analysis of the Liquidity Trap with an Application to the USA," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 13(4), December.
  27. Micheli, Martin, 2020. "It is real: On the relation between minimum wages and labor market outcomes for teenagers," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224597, Verein für Socialpolitik / German Economic Association.
  28. Micheli, Martin, 2019. "It is real: On the relation between minimum wages and labor market outcomes for teenagers," Ruhr Economic Papers 829, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  29. Rendell E. de Kort, 2017. "Forecasting tourism demand through search queries and machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Big Data, volume 44, Bank for International Settlements.
  30. Carlos David Ardila-Dueñas & Hernán Rincón-Castro, 2019. "¿Cómo y qué tanto impacta la deuda pública a las tasas de interés de mercado?," Borradores de Economia 1077, Banco de la Republica de Colombia.
  31. João Braz Pinto & João Sousa Andrade, 2015. "A Monetary Analysis of the Liquidity Trap," GEMF Working Papers 2015-06, GEMF, Faculty of Economics, University of Coimbra.
  32. Edvinsson, Rodney & Hegelund, Erik, 2016. "The business cycle in historical perspective: Reconstructing quarterly data on Swedish GDP 1913-2014," Stockholm Papers in Economic History 18, Stockholm University, Department of Economic History.
  33. Víctor M. Guerrero & Francisco Corona, 2018. "Retropolating some relevant series of Mexico's System of National Accounts at constant prices: The case of Mexico City's GDP," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 495-519, November.
  34. Enrique M. Quilis, 2018. "Temporal disaggregation of economic time series: The view from the trenches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 447-470, November.
  35. Juergen Amann & Paul Middleditch, 2017. "Growth in a time of austerity: evidence from the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(4), pages 349-375, September.
  36. Mariola Pilatowska & Aneta Wlodarczyk & Marcin Zawada, 2014. "The Environmental Kuznets Curve in Poland - Evidence From Threshold Cointegration Analysis," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 51-70.
  37. Luke Mosley & Idris A. Eckley & Alex Gibberd, 2022. "Sparse temporal disaggregation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2203-2233, October.
  38. Klaus Abberger & Michael Graff & Oliver Müller & Boriss Siliverstovs, 2022. "Imputing Monthly Values for Quarterly Time Series. An Application Performed with Swiss Business Cycle Data," CESifo Working Paper Series 10191, CESifo.
  39. Luke Mosley & Idris Eckley & Alex Gibberd, 2021. "Sparse Temporal Disaggregation," Papers 2108.05783, arXiv.org, revised Oct 2022.
  40. Elżbieta Antczak & Ewa Gałecka‐Burdziak & Robert Pater, 2019. "What Affects Efficiency In Labour Market Matching At Different Territorial Aggregation Levels In Poland?," Bulletin of Economic Research, Wiley Blackwell, vol. 71(2), pages 160-179, April.
  41. Krzysztof Drachal, 2019. "Analysis of Agricultural Commodities Prices with New Bayesian Model Combination Schemes," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
  42. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
  43. Bu Hyoung Lee, 2022. "Bootstrap Prediction Intervals of Temporal Disaggregation," Stats, MDPI, vol. 5(1), pages 1-13, February.
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