1 / 14

Competition and productivity

Competition and productivity. Michael Polder, Erik Veldhuizen, Dirk van den Bergen and Eugène van der Pijll International Statistical Conference Investment in the Future 2 Prague, Czech Republic 14-15 September, 2009.

normanjay
Download Presentation

Competition and productivity

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. Competition and productivity Michael Polder, Erik Veldhuizen, Dirk van den Bergen and Eugène van der Pijll International Statistical Conference Investment in the Future 2 Prague, Czech Republic 14-15 September, 2009 Micro and macro indicators of competition: comparison and relation with productivity change

  2. Introduction Application of Dutch growth accounts Combining micro and macro data Competition and productivity

  3. Multi-factor productivity KLEMS-Y model (consolidated) Index MFP = Exogenous interest rate Labour income self-employed

  4. Competition indicators Herfindahl index C4 indicator Price cost margin Labour income ratio Profit elasticity Import quote Export quote Concentration indicators Profitability indicators International competition

  5. Data and methodology Dutch manufacturing (12 industries) Final year data covering period 1996-2005 Macro and aggregated micro data Correlations between indicators Simple linear regressions (OLS) Contemporaneous and lagged

  6. Correlations between indicators Similarity of micro and macro indicators

  7. Correlations between indicators

  8. Correlations between indicators Similarity of micro and macro indicators Different dimensions of competition Differences between industries

  9. Differences between industries

  10. Differences between industries

  11. Relationships with productivity ExpectedResultResult t+1 Micro data: Profit elasticity + - (n.s.) + (n.s.) C4 - + + (n.s.) Herfindahl - + + (n.s) Labour income + - + Price cost margin - + - Export quote + + (n.s.) + (n.s) Macro data: Labour income + - + Price cost margin - + - Export quote + - (n.s.) + (n.s.) Import quote + - (n.s.) + (n.s.)

  12. Relationships with productivity ExpectedResultResult t+1 Micro data: Profit elasticity + - (n.s.) + (n.s.) C4 - + + (n.s.) Herfindahl - + + (n.s) Labour income + - + Price cost margin - + - Export quote + + (n.s.) + (n.s) Macro data: Labour income + - + Price cost margin - + - Export quote + - (n.s.) + (n.s.) Import quote + - (n.s.) + (n.s.)

  13. Relationships with productivity ExpectedResultResult t+1 Micro data: Profit elasticity + - (n.s.) + (n.s.) C4 - + + (n.s.) Herfindahl - + + (n.s) Labour income + - + Price cost margin - + - Export quote + + (n.s.) + (n.s) Macro data: Labour income + - + Price cost margin - + - Export quote + - (n.s.) + (n.s.) Import quote + - (n.s.) + (n.s.)

  14. Conclusions Competition is first negatively and after one year positively related to productivity Consistency micro and macro indicators Different indicators for different purposes

More Related