Wage Flexibility in Spain: A Semiparametric Approach

2006 ◽  
Author(s):  
Adolfo Maza ◽  
Ignacio Moral-Arce
2009 ◽  
Vol 16 (5) ◽  
pp. 515-518
Author(s):  
Adolfo Maza ◽  
Ignacio Moral-Arce

1990 ◽  
Vol 33 (4) ◽  
pp. 385-388
Author(s):  
Linda A. Bell ◽  
Stefan Gerlach

2000 ◽  
Vol 35 (1) ◽  
pp. 82 ◽  
Author(s):  
Brent Kreider ◽  
Regina T. Riphahn

2017 ◽  
Vol 20 (1) ◽  
pp. 105-120 ◽  
Author(s):  
Mehmet Balcilar ◽  
Rangan Gupta ◽  
Charl Jooste

2009 ◽  
Vol 39 (8) ◽  
pp. 1430-1443 ◽  
Author(s):  
Ghislain Vieilledent ◽  
Benoît Courbaud ◽  
Georges Kunstler ◽  
Jean-François Dhôte ◽  
James S. Clark

Mortality rate is thought to show a U-shape relationship to tree size. This shape could result from a decrease of competition-related mortality as diameter increases, followed by an increase of senescence and disturbance-related mortality for large trees. Modeling mortality rate as a function of diameter is nevertheless difficult, first because this relationship is strongly nonlinear, and second because data can be unbalanced, with few observations for large trees. Parametric functions, which are inflexible and sensitive to the distribution of observations, tend to introduce biases in mortality rate estimates. In this study we use mortality data for Abies alba Mill. and Picea abies (L.) Karst. to demonstrate that mortality rate estimates for extreme diameters were biased when using classical parametric functions. We then propose a semiparametric approach allowing a more flexible relationship between mortality and diameter. We show that the relatively shade-tolerant A. alba has a lower annual mortality rate (2.75%) than P. abies (3.78%) for small trees (DBH <15 cm). Picea abies, supposedly more sensitive to bark beetle attacks and windthrows, had a higher mortality rate (up to 0.46%) than A. alba (up to 0.30%) for large trees (DBH ≥50 cm).


Author(s):  
Tomas Baležentis ◽  
Tianxiang Li ◽  
Alvydas Baležentis

This study aims at analysing the trends in efficiency of Lithuanian dairy farms and thus identifying the prospective development paths. The semiparametric approach based on nonparametric regression and Stochastic Frontier Analysis is applied for the analysis. The research relies on Farm Accountancy Data Network and covers family farms. The period of 2004–2011 is considered. In order to identify the underlying trends in dairy farming, we focus on such features as technical efficiency, partial elasticities, and elasticity of scale. The semiparametric approach yielded rather high efficiencies. Specifically, the average technical efficiency of 89% was observed. A decline in technical efficiency during 2004–2011 is present for both point estimates and associated bounds of the confidence interval. Analysis of the elasticity of scale implies that most of the farms could still increase their scale of operation. The obtained results were confirmed by a parametric random coefficients model.


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