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Regional output growth in the United Kingdom: More timely and higher frequency estimates from 1970
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Cited by:
- Chadha, Jagjit S., 2023.
"Foreward,"
National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 11, pages 3-4.
- Chadha, Jagjit S., 2021. "Foreward," National Institute Global Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 1-3.
- Chadha, Jagjit S., 2021. "Foreward," National Institute Global Economic Outlook, National Institute of Economic and Social Research, issue 3, pages 1-3.
- Chadha, Jagjit S., 2023. "Foreword," National Institute Global Economic Outlook, National Institute of Economic and Social Research, issue 9, pages 1-3.
- Chadha, Jagjit S., 2023. "Foreward," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 9, pages 1-3.
- Chadha, Jagjit S., 2021. "Foreward," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 1-3.
- Chadha, Jagjit S., 2023. "Foreword," National Institute Global Economic Outlook, National Institute of Economic and Social Research, issue 11, pages 1-3.
- Chadha, Jagjit S., 2023. "Foreward," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 10, pages 1-3.
- Chadha, Jagjit S., 2021. "Foreward," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 3, pages 3-4.
- Chadha, Jagjit S., 2023. "Foreword," National Institute Global Economic Outlook, National Institute of Economic and Social Research, issue 10, pages 1-3.
- Chadha, Jagjit S., 2021. "Foreward," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 1, pages 1-3.
- Lehmann, Robert & Wikman, Ida, 2022.
"Quarterly GDP Estimates for the German States,"
MPRA Paper
112642, University Library of Munich, Germany.
- Robert Lehmann & Ida Wikman, 2022. "Quarterly GDP Estimates for the German States," ifo Working Paper Series 370, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Robert Lehmann & Ida Wikman, 2023. "Quarterly GDP Estimates for the German States: New Data for Business Cycle Analyses and Long-Run Dynamics," CESifo Working Paper Series 10280, CESifo.
- Robert Lehmann, 2023.
"The Forecasting Power of the ifo Business Survey,"
Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
- Robert Lehmann, 2020. "The Forecasting Power of the ifo Business Survey," CESifo Working Paper Series 8291, CESifo.
- Robert Lehmann, 2024.
"A real-time regional accounts database for Germany with applications to GDP revisions and nowcasting,"
Empirical Economics, Springer, vol. 67(2), pages 817-838, August.
- Robert Lehmann, 2023. "READ-GER: Introducing German Real-Time Regional Accounts Data for Revision Analysis and Nowcasting," CESifo Working Paper Series 10315, CESifo.
- Friederike Fourné & Robert Lehmann, 2023. "From Shopping to Statistics: Tracking and Nowcasting Private Consumption Expenditures in Real-Time," CESifo Working Paper Series 10764, CESifo.
- James Mitchell & Gary Koop & Stuart McIntyre & Aubrey Poon, 2020.
"Reconciled Estimates of Monthly GDP in the US,"
Economic Statistics Centre of Excellence (ESCoE) Discussion Papers
ESCoE DP-2020-16, Economic Statistics Centre of Excellence (ESCoE).
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Reconciled Estimates of Monthly GDP in the US," Working Papers 22-01, Federal Reserve Bank of Cleveland.
- Chan, Joshua C.C., 2023.
"Comparing stochastic volatility specifications for large Bayesian VARs,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1419-1446.
- Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
- Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2023.
"Nowcasting in a pandemic using non-parametric mixed frequency VARs,"
Journal of Econometrics, Elsevier, vol. 232(1), pages 52-69.
- Florian Huber & Gary Koop & Luca Onorante & Michael Pfarrhofer & Josef Schreiner, 2020. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," Papers 2008.12706, arXiv.org, revised Dec 2020.
- Florian, Huber & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," JRC Working Papers in Economics and Finance 2021-01, Joint Research Centre, European Commission.
- Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Working Paper Series 2510, European Central Bank.
- Martin Feldkircher & Florian Huber & Michael Pfarrhofer, 2021.
"Measuring the effectiveness of US monetary policy during the COVID‐19 recession,"
Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(3), pages 287-297, July.
- Martin Feldkircher & Florian Huber & Michael Pfarrhofer, 2020. "Measuring the Effectiveness of US Monetary Policy during the COVID-19 Recession," Papers 2007.15419, arXiv.org.
- Haoqi Qian & Zhengyu Shi & Libo Wu, 2021. "Inferring Economic Condition Uncertainty from Electricity Big Data," Papers 2107.11593, arXiv.org, revised May 2023.
- Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022.
"Macroeconomic forecasting in a multi‐country context,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1230-1255, September.
- Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic Forecasting in a Multi-country Context," Working Papers 22-02, Federal Reserve Bank of Cleveland.
- Bai, Yu & Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Macroeconomic Forecasting in a Multi-country Context," CEPR Discussion Papers 16994, C.E.P.R. Discussion Papers.
- Bhattacharjee, Arnab & Lisauskaite, Elena & Pabst, Adrian & Tzendrei, Tibor, 2021.
"UK Regional Outlook,"
National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 3, pages 37-50.
- Bhattacharjee, Arnab & Lisauskaite, Elena & Pabst, Adrian, 2021. "UK regional outlook," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 42-57.
- Bhattacharjee, Arnab & Lisauskaite, Elena, 2021. "UK regional outlook," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 1, pages 24-33.
- Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2020.
"Computationally efficient inference in large Bayesian mixed frequency VARs,"
Economics Letters, Elsevier, vol. 191(C).
- Deborah Gefang & Gary Koop & Aubrey Poon, "undated". "Computationally Efficient Inference in Large Bayesian Mixed Frequency VARs," Discussion Papers in Economics 20/02, Division of Economics, School of Business, University of Leicester.
- Deborah Gefang & Gary Koop & Aubrey Poon, 2020. "Computationally Efficient Inference in Large Bayesian Mixed Frequency VARs," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-07, Economic Statistics Centre of Excellence (ESCoE).
- Niesr, 2021. "Overview," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 1-4.
- Kucuk, Hande & Lenoel, Cyrille & MacQueen, Rory, 2021. "Brisk but not better growth," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 5-32.
- Robert Lehmann & Sascha Möhrle, 2024.
"Forecasting regional industrial production with novel high‐frequency electricity consumption data,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1918-1935, September.
- Robert Lehmann & Sascha Möhrle, 2022. "Forecasting Regional Industrial Production with High-Frequency Electricity Consumption Data," CESifo Working Paper Series 9917, CESifo.
- Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers 202111, University of Pretoria, Department of Economics.
- repec:wrk:wrkemf:37 is not listed on IDEAS
- Proietti, Tommaso & Giovannelli, Alessandro & Ricchi, Ottavio & Citton, Ambra & Tegami, Christían & Tinti, Cristina, 2021.
"Nowcasting GDP and its components in a data-rich environment: The merits of the indirect approach,"
International Journal of Forecasting, Elsevier, vol. 37(4), pages 1376-1398.
- Alessandro Giovannelli & Tommaso Proietti & Ambra Citton & Ottavio Ricchi & Cristian Tegami & Cristina Tinti, 2020. "Nowcasting GDP and its Components in a Data-rich Environment: the Merits of the Indirect Approach," CEIS Research Paper 489, Tor Vergata University, CEIS, revised 30 May 2020.
- Paker, Meredith M., 2023. "The jobless recovery after the 1980–1981 British recession," Explorations in Economic History, Elsevier, vol. 90(C).
- Kucuk, Hande & Lenoel, Cyrille & MacQueen, Rory, 2021. "UK sectoral output," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 33-41.
- Koop, Gary & McIntyre, Stuart & Mitchell, James & Poon, Aubrey, 2024.
"Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 626-640.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates," Working Papers 22-06, Federal Reserve Bank of Cleveland.
- Luca Barbaglia & Lorenzo Frattarolo & Niko Hauzenberger & Dominik Hirschbuehl & Florian Huber & Luca Onorante & Michael Pfarrhofer & Luca Tiozzo Pezzoli, 2024. "Nowcasting economic activity in European regions using a mixed-frequency dynamic factor model," Papers 2401.10054, arXiv.org.
- Iacopini, Matteo & Poon, Aubrey & Rossini, Luca & Zhu, Dan, 2023.
"Bayesian mixed-frequency quantile vector autoregression: Eliciting tail risks of monthly US GDP,"
Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
- Matteo Iacopini & Aubrey Poon & Luca Rossini & Dan Zhu, 2022. "Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP," Papers 2209.01910, arXiv.org.
- Blagov, Boris & Müller, Henrik & Jentsch, Carsten & Schmidt, Torsten, 2021. "The investment narrative: Improving private investment forecasts with media data," Ruhr Economic Papers 921, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2022. "Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1049-1064, September.
- Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024.
"Bayesian forecasting in economics and finance: A modern review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
- Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
- Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
- Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
- Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023.
"High-dimensional conditionally Gaussian state space models with missing data,"
Journal of Econometrics, Elsevier, vol. 236(1).
- Joshua C. C. Chan & Aubrey Poon & Dan Zhu, 2023. "High-Dimensional Conditionally Gaussian State Space Models with Missing Data," Papers 2302.03172, arXiv.org.
- Josh Martin & Rebecca Riley, 2023. "Productivity measurement - Reassessing the production function from micro to macro," Working Papers 033, The Productivity Institute.
- Niesr, 2021. "Appendix," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 58-66.