A Random Matrix Theory Approach to Investigate Convergence in Time Series Data: An Application to Agricultural Labour Productivity
| dc.creator | Surry, Yves R. | |
| dc.creator | Galanopoulos, Konstantinos | |
| dc.date | 2017-04-01T13:56:48Z | |
| dc.date.accessioned | 2026-07-09T07:14:48Z | |
| dc.identifier | doi:10.22004/ag.econ.152366 | |
| dc.identifier | https://ageconsearch.umn.edu/record/152366/files/B.4.1_presentation-Surry_Seville2013.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/152366 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/586129 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/152366 | |
| dc.title | A Random Matrix Theory Approach to Investigate Convergence in Time Series Data: An Application to Agricultural Labour Productivity | |
| dc.type | Text |
