An Indicator of Monthly GDP and an Early Estimate of Quarterly GDP Growth
Bibliographic Data
| ID | 9717221 |
|---|---|
| Authors | James Mitchell (0000-0003-0532-4568, NIESR), Richard J Smith (0000-0002-6340-0656, NIESR and University of Warwick), Martin Weale (0000-0002-2016-0437, National Institute of Economic and Social Research), Martin R Weale (NIESR and Statistics Commission), Stephen Wright (0000-0001-9973-9697, Birkbeck, University of London), Stephen H Wright (0000-0002-0591-0017, Birkbeck, University of London), Eduardo Salazar, Eduardo L Salazar (NIESR) |
| Year | 2005 |
| Volume | 115 |
| Issue | 501 |
| Pages | F108-F129 |
| Publication date | 2005-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Economic Journal (JOURNAL) |
| Journal identifiers | ISSN: 0013-0133 • E-ISSN: 1468-0297 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1111/j.0013-0133.2005.00974.x |
| OpenAlex | W1972252616 |
| Language | EN |
| Citations received | 15 |
| References cited | 16 |
A range of monthly series are currently available giving indications of short-term movements in output in the UK. The main aim of this paper is to suggest a formal and coherent procedure for grossing these monthly data up to represent the whole of GDP. Although the resultant estimates of GDP would be worse than those obtained by direct measurement, they should be more satisfactory than simply making an informal inference from whatever monthly data are available. Our examination of the efficacy of the method for estimation of the state of economic activity indicates a rather satisfactory outcome. Copyright 2005 Royal Economic Society
Econometrics · Economics · Estimation · Inference · Range (aeronautics · Real gross domestic product · Term (time · Computer Science · Economic Growth and Productivity · Economic, financial, and policy analysis · Engineering · Monetary Policy and Economic Impact
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| Unique citing works | 15 |
|---|---|
| Citations per year | 0,94 |
| Citation span | 2010 - 2026 (17) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 15 |