Investigation of Climbing Performance at a Country Level
(2010) STAM01 20101Department of Statistics
- Abstract
- This paper investigates the determinants of Climbing World Cup performance at a country level. An unbalanced panel of 76 countries over the years 2005 through 2008 is used. The focus of the paper is on the impact of the demographic, economic, geographic and historic predictors of the success at the Climbing World Cups. We measure the performance by the National Team rankings for each of the three climbing disciplines – bouldering, lead and speed climbing. We analyse both - multivariate and univariate - models for all three disciplines. The results show that the success predictors differ for the bouldering, lead and speed climbing.
The socioeconomic determinants are most important for speed climbing. Both the population share and the... (More) - This paper investigates the determinants of Climbing World Cup performance at a country level. An unbalanced panel of 76 countries over the years 2005 through 2008 is used. The focus of the paper is on the impact of the demographic, economic, geographic and historic predictors of the success at the Climbing World Cups. We measure the performance by the National Team rankings for each of the three climbing disciplines – bouldering, lead and speed climbing. We analyse both - multivariate and univariate - models for all three disciplines. The results show that the success predictors differ for the bouldering, lead and speed climbing.
The socioeconomic determinants are most important for speed climbing. Both the population share and the logarithm of the population, as single predictors, are significant only for speed climbing, but not for the bouldering or lead climbing. The GDP, as the only predictor, is significant for the lead and speed climbing.
The Alpine Countries are significantly more successful in lead climbing and bouldering. The availability of the natural rocks and the interest in climbing at a particular country also improve the results in these disciplines. On the other hand, Post-Soviet countries are more successful in speed climbing World Cups.
The best found univariate model for lead climbing consists of alpine factor, interest in rock climbing and natural rock availability as the explanatory variables. Univariate bouldering model is built of the logarithm of the population, interest in rock climbing and natural rock availability. A model for speed climbing includes the logarithm of the population and dummy variables for Venezuela and China.
Finally, previous years’ rankings are significant for all the climbing disciplines and they explain a huge amount of the variation. It means that it is quite hard for a new country to start competing in climbing World Cups successfully. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/1614495
- author
- Blédaité, Laura LU
- supervisor
- organization
- course
- STAM01 20101
- year
- 2010
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Climbing performance, Country rankings, Determinants of climbing performance, Rock climbing investigation
- language
- English
- id
- 1614495
- date added to LUP
- 2010-06-21 12:13:30
- date last changed
- 2010-06-21 12:13:30
@misc{1614495,
abstract = {{This paper investigates the determinants of Climbing World Cup performance at a country level. An unbalanced panel of 76 countries over the years 2005 through 2008 is used. The focus of the paper is on the impact of the demographic, economic, geographic and historic predictors of the success at the Climbing World Cups. We measure the performance by the National Team rankings for each of the three climbing disciplines – bouldering, lead and speed climbing. We analyse both - multivariate and univariate - models for all three disciplines. The results show that the success predictors differ for the bouldering, lead and speed climbing.
The socioeconomic determinants are most important for speed climbing. Both the population share and the logarithm of the population, as single predictors, are significant only for speed climbing, but not for the bouldering or lead climbing. The GDP, as the only predictor, is significant for the lead and speed climbing.
The Alpine Countries are significantly more successful in lead climbing and bouldering. The availability of the natural rocks and the interest in climbing at a particular country also improve the results in these disciplines. On the other hand, Post-Soviet countries are more successful in speed climbing World Cups.
The best found univariate model for lead climbing consists of alpine factor, interest in rock climbing and natural rock availability as the explanatory variables. Univariate bouldering model is built of the logarithm of the population, interest in rock climbing and natural rock availability. A model for speed climbing includes the logarithm of the population and dummy variables for Venezuela and China.
Finally, previous years’ rankings are significant for all the climbing disciplines and they explain a huge amount of the variation. It means that it is quite hard for a new country to start competing in climbing World Cups successfully.}},
author = {{Blédaité, Laura}},
language = {{eng}},
note = {{Student Paper}},
title = {{Investigation of Climbing Performance at a Country Level}},
year = {{2010}},
}