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Taking the Pulse of the Economy: Measuring GDP

Citations

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Cited by:

  1. Sunghun Lim, 2021. "Global Agricultural Value Chains and Structural Transformation," NBER Chapters, in: Risks in Agricultural Supply Chains, pages 29-57, National Bureau of Economic Research, Inc.
  2. Clements, Michael P., 2010. "Explanations of the inconsistencies in survey respondents' forecasts," European Economic Review, Elsevier, vol. 54(4), pages 536-549, May.
  3. Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2015. "Robust approaches to forecasting," International Journal of Forecasting, Elsevier, vol. 31(1), pages 99-112.
  4. Barbara M. Fraumeni, 2022. "Gross domestic product: Are other measures needed?," IZA World of Labor, Institute of Labor Economics (IZA), pages 368-368, April.
  5. Mark Skousen, 2010. "Gross Domestic Expenditures (GDE): the Need for a New National Aggregate Statistic," UCL SSEES Economics and Business working paper series 113, UCL School of Slavonic and East European Studies (SSEES).
  6. Clements, Michael P., 2010. "Why are survey forecasts superior to model forecasts?," Economic Research Papers 270770, University of Warwick - Department of Economics.
  7. Andrew C. Chang & Phillip Li, 2018. "Measurement Error In Macroeconomic Data And Economics Research: Data Revisions, Gross Domestic Product, And Gross Domestic Income," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1846-1869, July.
  8. Ben Salem, Leila & Nouira, Ridha & Saafi, Sami & Rault, Christophe, 2024. "How do oil prices affect the GDP and its components? New evidence from a time-varying threshold model," Energy Policy, Elsevier, vol. 190(C).
  9. Andrew C. Chang & Trace J. Levinson, 2023. "Raiders of the lost high‐frequency forecasts: New data and evidence on the efficiency of the Fed's forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 88-104, January.
  10. Markus K. Brunnermeier & Gary Gorton & Arvind Krishnamurthy, 2012. "Risk Topography," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 149-176.
  11. Clements, Michael P., 2014. "Probability distributions or point predictions? Survey forecasts of US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 99-117.
  12. Martín Almuzara & Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2024. "GDP Solera: The Ideal Vintage Mix," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 984-997, July.
  13. Fabio B. Gaertner & Asad Kausar & Logan B. Steele, 2020. "Negative accounting earnings and gross domestic product," Review of Accounting Studies, Springer, vol. 25(4), pages 1382-1409, December.
  14. Michael P. Clements & Ana Beatriz Galvão, 2011. "Improving Real-time Estimates of Output Gaps and Inflation Trends with Multiple-vintage Models," Working Papers 678, Queen Mary University of London, School of Economics and Finance.
  15. Konchitchki, Yaniv & Patatoukas, Panos N., 2014. "Accounting earnings and gross domestic product," Journal of Accounting and Economics, Elsevier, vol. 57(1), pages 76-88.
  16. Michael Clements, 2016. "Are Macro-Forecasters Essentially The Same? An Analysis of Disagreement, Accuracy and Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2016-08, Henley Business School, University of Reading.
  17. repec:dgr:rugggd:gd-125 is not listed on IDEAS
  18. Gabriele Fiorentini & Enrique Sentana, 2019. "Dynamic specification tests for dynamic factor models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 325-346, April.
  19. Daniel Culbertson & Tara Sinclair, 2014. "The Failure of Forecasts in the Great Recession," Challenge, Taylor & Francis Journals, vol. 57(6), pages 34-45.
  20. Clements, Michael P., 2012. "Do professional forecasters pay attention to data releases?," International Journal of Forecasting, Elsevier, vol. 28(2), pages 297-308.
  21. Martin Feldstein, 2017. "Underestimating the Real Growth of GDP, Personal Income, and Productivity," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 145-164, Spring.
  22. Laurens Cherchye & Bram Rock & Dieter Saelens & Marijn Verschelde, 2024. "Productive efficiency analysis with incomplete output information," Journal of Productivity Analysis, Springer, vol. 62(3), pages 291-301, December.
  23. Clements, Michael P., 2019. "Do forecasters target first or later releases of national accounts data?," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1240-1249.
  24. Michael P Clements, 2014. "Assessing the Evidence of Macro- Forecaster Herding: Forecasts of Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-12, Henley Business School, University of Reading.
  25. Binz, Oliver & Mayew, William J. & Nallareddy, Suresh, 2022. "Firms’ response to macroeconomic estimation errors," Journal of Accounting and Economics, Elsevier, vol. 73(2).
  26. Abdalla, Ahmed & Carabias, Jose M., 2022. "From accounting to economics: the role of aggregate special items in gauging the state of the economy," LSE Research Online Documents on Economics 108540, London School of Economics and Political Science, LSE Library.
  27. Jaqueson K. Galimberti, 2020. "Forecasting GDP Growth from Outer Space," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 697-722, August.
  28. Clements, Michael P. & Beatriz Galvão, Ana, 2010. "First announcements and real economic activity," European Economic Review, Elsevier, vol. 54(6), pages 803-817, August.
  29. Lu, Fei & Ma, Feng & Feng, Lin, 2024. "Carbon dioxide emissions and economic growth: New evidence from GDP forecasting," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
  30. Steven P. Cassou & C. Patrick Scott & Jesús Vázquez, 2018. "Optimal monetary policy revisited: does considering US real-time data change things?," Applied Economics, Taylor & Francis Journals, vol. 50(57), pages 6203-6219, December.
  31. Clements, Michael P. & Beatriz Galvao, Ana, 2010. "Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions," Economic Research Papers 270771, University of Warwick - Department of Economics.
  32. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
  33. Tincho Almuzara & Dante Amengual & Enrique Sentana, 2017. "Normality Tests for Latent Variables," Working Papers wp2018_1708, CEMFI.
  34. Magoti, Edwin & Mtui, John M., 2020. "The Relationship between Economic Growth and Service Sector in Tanzania: An Empirical Investigation," African Journal of Economic Review, African Journal of Economic Review, vol. 8(2), July.
  35. Sandra Waddock, 2016. "Foundational Memes for a New Narrative About the Role of Business in Society," Humanistic Management Journal, Springer, vol. 1(1), pages 91-105, September.
  36. Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
  37. Junhui Cai & Dan Yang & Wu Zhu & Haipeng Shen & Linda Zhao, 2021. "Network regression and supervised centrality estimation," Papers 2111.12921, arXiv.org.
  38. repec:wrk:wrkemf:11 is not listed on IDEAS
  39. Matei Demetrescu & Robinson Kruse-Becher, 2021. "Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models," CREATES Research Papers 2021-07, Department of Economics and Business Economics, Aarhus University.
  40. Galvão, Ana Beatriz, 2017. "Data revisions and DSGE models," Journal of Econometrics, Elsevier, vol. 196(1), pages 215-232.
  41. Clements, Michael P., 2016. "Real-time factor model forecasting and the effects of instability," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 661-675.
  42. Michael P. Clements, 2014. "US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 1-14, January.
  43. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
  44. Gilbert, Thomas, 2011. "Information aggregation around macroeconomic announcements: Revisions matter," Journal of Financial Economics, Elsevier, vol. 101(1), pages 114-131, July.
  45. Carriero, Andrea & Clements, Michael P. & Galvão, Ana Beatriz, 2015. "Forecasting with Bayesian multivariate vintage-based VARs," International Journal of Forecasting, Elsevier, vol. 31(3), pages 757-768.
  46. Charles F. Manski, 2015. "Communicating Uncertainty in Official Economic Statistics: An Appraisal Fifty Years after Morgenstern," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 631-653, September.
  47. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
  48. Ray-Ming Chen, 2022. "Economic Categorizing Based on DFT-induced Supervised Learning," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 125-150, January.
  49. Erica L. Groshen & Brian C. Moyer & Ana M. Aizcorbe & Ralph Bradley & David M. Friedman, 2017. "How Government Statistics Adjust for Potential Biases from Quality Change and New Goods in an Age of Digital Technologies: A View from the Trenches," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 187-210, Spring.
  50. Clements, Michael P. & Galvão, Ana Beatriz, 2017. "Model and survey estimates of the term structure of US macroeconomic uncertainty," International Journal of Forecasting, Elsevier, vol. 33(3), pages 591-604.
  51. Brian Kent Strow & Claudia Wood Strow, 2013. "Gross Actual Product: Why GDP Fosters Increased Government Spending and Should Be Replaced," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 29(Fall 2013), pages 53-71.
  52. Hsieh, Wen-jen, 2011. "The Global Economic Recession and Industrial Structure: Evidence from Four Asian Dragons," ADBI Working Papers 315, Asian Development Bank Institute.
  53. Jacky Mallett & Charles Keen, 2012. "Does GDP measure growth in the economy or simply growth in the money supply?," Papers 1208.0642, arXiv.org.
  54. Hicham M. Hachem, 2017. "How Moderate was the Great Moderation and how Destabilizing is Secular Stagnation? Fiscal and monetary policy implications based on åvidence from US macro data," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 226-236, June.
  55. Andrew C. Chang, 2018. "The Fed's Asymmetric Forecast Errors," Finance and Economics Discussion Series 2018-026, Board of Governors of the Federal Reserve System (U.S.).
  56. Qingwen Li & Guangxi Yan & Chengming Yu, 2022. "A Novel Multi-Factor Three-Step Feature Selection and Deep Learning Framework for Regional GDP Prediction: Evidence from China," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
  57. V. K. Shrotryia & Shashank Vikram Pratap Singh, 2020. "Measuring Progress Beyond GDP: A Theoretical Perspective," Emerging Economy Studies, International Management Institute, vol. 6(2), pages 143-165, November.
  58. Saeed Assani & Jianlin Jiang & Ahmad Assani & Feng Yang, 2019. "Estimating and decomposing most productive scale size in parallel DEA networks with shared inputs: A case of China's Five-Year Plans," Papers 1910.03421, arXiv.org, revised Oct 2019.
  59. Clements, Michael P. & Galvão, Ana Beatriz, 2013. "Forecasting with vector autoregressive models of data vintages: US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 29(4), pages 698-714.
  60. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
  61. Harchaoui, Tarek M., 2012. "A Quarter of a Century Progress Report on the Services Sector Productivity Statistics. A Europe-United States Perspective," GGDC Research Memorandum GD-125, Groningen Growth and Development Centre, University of Groningen.
  62. La’Marcus T Wingate & Margaret S Coleman & Drew L Posey & Weigong Zhou & Christine K Olson & Brian Maskery & Martin S Cetron & John A Painter, 2015. "Cost-Effectiveness of Screening and Treating Foreign-Born Students for Tuberculosis before Entering the United States," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-19, April.
  63. Dale W. Jorgenson, 2010. "Designing a New Architecture for the U.S. National Accounts," The ANNALS of the American Academy of Political and Social Science, , vol. 631(1), pages 63-74, September.
  64. Michael P. Clements, 2017. "Assessing Macro Uncertainty in Real-Time When Data Are Subject To Revision," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 420-433, July.
  65. Michael P. Clements, 2014. "Anticipating Early Data Revisions to US GDP and the Effects of Releases on Equity Markets," ICMA Centre Discussion Papers in Finance icma-dp2014-06, Henley Business School, University of Reading.
  66. Charles F. Manski, 2014. "Communicating Uncertainty in Official Economic Statistics," NBER Working Papers 20098, National Bureau of Economic Research, Inc.
  67. Martín Almuzara & Dante Amengual & Enrique Sentana, 2019. "Normality tests for latent variables," Quantitative Economics, Econometric Society, vol. 10(3), pages 981-1017, July.
  68. Andrea Garcia Tapia & Mildred Suarez & Jose E. Ramirez‐Marquez & Kash Barker, 2019. "Evaluating and Visualizing the Economic Impact of Commercial Districts Due to an Electric Power Network Disruption," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 2032-2053, September.
  69. Rhazi Zineb & Hefnaoui Ahmed, 2023. "Innovation and level of development in Morocco: Comparative analysis of innovation inputs and outputs according to the "Global Innovation Index" 2017 [Innovation et niveau de développemen," Post-Print hal-04162755, HAL.
  70. Ionuţ Gavriş & Valentin Toader, 2021. "The Probability Of Uncertainty: Romania’S Growth Perspectives," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 71-81, July.
  71. Stijepic, Denis & Wagner, Helmut, 2009. "Population-ageing, structural change and productivity growth," MPRA Paper 37005, University Library of Munich, Germany, revised 29 Feb 2012.
  72. David Hendry & Michael P. Clements, 2010. "Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts," Economics Series Working Papers 484, University of Oxford, Department of Economics.
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