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680 results on '"Hendry, David"'

1. Preface

Author

Nielsen, Bent and Hendry, David F.

Published
2012

3. Cover

Author

Nielsen, Bent and Hendry, David F.

Published
2012

4. Subject Index

Author

Nielsen, Bent and Hendry, David F.

Published
2012

6. References

Author

Nielsen, Bent and Hendry, David F.

Published
2012

7. Author Index

Author

Nielsen, Bent and Hendry, David F.

Published
2012

32. Modelling our Changing World

Author

Castle, Jennifer L. and Hendry, David F.

Subjects
Economics, Management science, Econometrics, Environmental economics, Economic history, thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics, thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics, thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCZ Economic history
Abstract

This open access book focuses on the concepts, tools and techniques needed to successfully model ever-changing time-series data. It emphasizes the need for general models to account for the complexities of the modern world and how these can be applied to a range of issues facing Earth, from modelling volcanic eruptions, carbon dioxide emissions and global temperatures, to modelling unemployment rates, wage inflation and population growth. Except where otherwise noted, this book is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.

Published
2019
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36. Achieving Benchmarks for National Quality Indicators Reduces Recurrence and Progression in Non–muscle-invasive Bladder Cancer

Author

Mariappan, Paramananthan, Johnston, Allan, Trail, Matthew, Hamid, Sami, Hollins, Graham, Dreyer, Barend A., Ramsey, Sara, Padovani, Luisa, Garau, Roberta, Enriquez, Julia Guerrero, Boden, Alasdair, Maresca, Gianluca, Simpson, Helen, Hasan, Rami, Sharpe, Claire, Thomas, Benjamin G., Chaudhry, Altaf H., Khan, Rehan S., Bhatt, Jaimin R., Ahmad, Imran, Nandwani, Ghulam M., Dimitropoulos, Konstantinos, Makaroff, Lydia, Shaw, Johnstone, Graham, Catriona, and Hendry, David

Published
2024
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42. Forecasting: theory and practice

Author

Petropoulos, Fotios, Apiletti, Daniele, Assimakopoulos, Vassilios, Babai, Mohamed Zied, Barrow, Devon K., Ben Taieb, Souhaib, Bergmeir, Christoph, Bessa, Ricardo J., Bijak, Jakub, Boylan, John E., Browell, Jethro, Carnevale, Claudio, Castle, Jennifer L., Cirillo, Pasquale, Clements, Michael P., Cordeiro, Clara, Cyrino Oliveira, Fernando Luiz, De Baets, Shari, Dokumentov, Alexander, Ellison, Joanne, Fiszeder, Piotr, Franses, Philip Hans, Frazier, David T., Gilliland, Michael, Gönül, M. Sinan, Goodwin, Paul, Grossi, Luigi, Grushka-Cockayne, Yael, Guidolin, Mariangela, Guidolin, Massimo, Gunter, Ulrich, Guo, Xiaojia, Guseo, Renato, Harvey, Nigel, Hendry, David F., Hollyman, Ross, Januschowski, Tim, Jeon, Jooyoung, Jose, Victor Richmond R., Kang, Yanfei, Koehler, Anne B., Kolassa, Stephan, Kourentzes, Nikolaos, Leva, Sonia, Li, Feng, Litsiou, Konstantia, Makridakis, Spyros, Martin, Gael M., Martinez, Andrew B., Meeran, Sheik, Modis, Theodore, Nikolopoulos, Konstantinos, Önkal, Dilek, Paccagnini, Alessia, Panagiotelis, Anastasios, Panapakidis, Ioannis, Pavía, Jose M., Pedio, Manuela, Pedregal, Diego J., Pinson, Pierre, Ramos, Patrícia, Rapach, David E., Reade, J. James, Rostami-Tabar, Bahman, Rubaszek, Michał, Sermpinis, Georgios, Shang, Han Lin, Spiliotis, Evangelos, Syntetos, Aris A., Talagala, Priyanga Dilini, Talagala, Thiyanga S., Tashman, Len, Thomakos, Dimitrios, Thorarinsdottir, Thordis, Todini, Ezio, Trapero Arenas, Juan Ramón, Wang, Xiaoqian, Winkler, Robert L., Yusupova, Alisa, and Ziel, Florian

Published
2022
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47. What a Puzzle! Unravelling Why UK Phillips Curves were Unstable.

Author

Castle, Jennifer L. and Hendry, David F.

Subjects
PHILLIPS curve, REAL wages, UNEMPLOYMENT statistics, PRICE inflation, PUZZLES, ECONOMIC forecasting
Abstract

The UK relationship between nominal wage inflation and the unemployment rate is unstable. Over sub‐periods of the last 160 years of turbulent data, Phillips curve slopes range from strongly negative, slightly negative, flat, slightly positive and strongly positive. Our constant‐parameter congruent model of real wages explains these instabilities, yet also implies a constant negative relationship between nominal wage inflation and the unemployment rate when corrected by its regressors. Disentangling these effects reveals that structural breaks in the real‐wage model's variables do not explain the instabilities, which instead occur during sub‐periods when some of its explanatory variables are insignificant. [ABSTRACT FROM AUTHOR]

Published
2024
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48. Forecasting the UK top 1% income share in a shifting world.

Author

Castle, Jennifer L., Doornik, Jurgen A., and Hendry, David F.

Subjects
RANDOM walks, INCOME inequality, FORECASTING, REGRESSION analysis, NATIONAL income
Abstract

UK top income shares have varied hugely over the past two centuries, ranging from more than 30% to less than 7% of pre‐tax national income allocated to the top 1 percentile. We build a congruent dynamic linear regression model of the top 1% income share allowing for economic, political and social factors. Saturation estimation is used to model outliers and trend breaks, proxying underlying structural changes driving income inequality in the UK. We use the model to forecast the top 1% income share over the last 15 years, and compare to a range of forecast devices. Despite a well‐specified constant parameter model conditioning on significant explanatory variables, the best performing forecasts are obtained from a random walk and a smoothed random walk. These results are explained by the presence of shifts in the income share over the forecast period, resulting in forecasts from equilibrium correction models converging to the wrong equilibrium. Our best prediction for 2026 based on the most recent data from 2021 (a 5‐year ahead projection) is that the pre‐tax top 1% income share will remain at the most recent realized value of 12.7%, but there is a large degree of uncertainty, with a 95% confidence band ranging from 10% to 15.7%. This paper is part of the Economica 100 Series. Economica, the LSE "house journal" is now 100 years old. To commemorate this achievement, we are publishing 100 papers by former students, as well as current and former faculty. David Forbes Hendry received his MSc and PhD from the LSE. [ABSTRACT FROM AUTHOR]

Published
2024
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