1 / 17

Stress-testing the capital input measures in the EUKLEMS database

Stress-testing the capital input measures in the EUKLEMS database. Nicholas OULTON LSE, UCL and NIESR and Ana RINCON-AZNAR NIESR March 2007 Paper to be presented at the meeting of the EUKLEMS Consortium, Brussels, March16-17, 2007

juancarlos-rodriguez
Download Presentation

Stress-testing the capital input measures in the EUKLEMS database

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Stress-testing the capital input measures in the EUKLEMS database Nicholas OULTON LSE, UCL and NIESR and Ana RINCON-AZNAR NIESR March 2007 Paper to be presented at the meeting of the EUKLEMS Consortium, Brussels, March16-17, 2007 This research was made possible by financial support under the 6th Framework Programme of the European Commission to the “EU KLEMS Project on Productivity in the European Union”. The views expressed are our own.

  2. Outline • Aim of the study: Stress-testing capital input measures in the EUKLEMS database • Estimating the average real rate of return: methodology and results • Conclusions • Further work

  3. The spirit of the new SNA • Capital stocks, capital services and capital consumption should all be estimated in an intellectually consistent way. All underlying data should be consistent (see OECD manuals). • Gross operating surplus is the return to capital = the sum of the returns to each asset

  4. Stress testing • The user cost has three elements: • Depreciation • Capital gain/loss • Rate of return • The average rate of return is implicit in the other estimates • Is the implied rate of return plausible?

  5. A plausible picture: the UK, 1970-2000 Source: Bank of England Industry Dataset

  6. Estimating the rate of return (1) Mean nominal rate of return in a sector/industry:

  7. Estimating the rate of return (2) Mean real rate of return:

  8. Reasons why the estimates may be wrong • Asset stocks: allocation of investment across industries may be wrong • Tax factors are needed for calculating depreciation and capital gains, but are not (yet) available in EU KLEMS • Some assets that generate profits may be missing, eg inventories, land, R&D, intangibles

  9. Is there a pattern? (1) Dummy variable model Dependent variable: real rate of return Independent variables: dummies for countries, sectors, and years Drop extreme observations (r < -50 or r > 50): N was 7859, now 5744 (2115 obs. dropped)

  10. Is there a pattern? (2) Results of dummy variable model (after dropping extreme obs.) Country dummies (Austria omitted)

  11. Is there a pattern? (3)

  12. Is there a pattern? (4)

  13. Conclusions • The differences between countries and across sectors in estimated real rates of return are larger than can be explained by differences in economic fundamentals • Tentative explanations: • The allocation of investment across industries may be at fault • The initial capital stocks may be too high

  14. Further work… • Extend analysis to rest of EU-25 countries • Second part of stress-testing: calculate sensitivity of capital input estimates to method employed • Using estimates of rates of return, calculate contribution of capital to growth by ex-post, ex-ante and hybrid methods

More Related