Sentence examples for competition variable from inspiring English sources
However, depending on the inventory design used for sampling the parameterization data, this competition variable is characterized by a specific resolution which has an effect on the model coefficients.
By removing the competition variable from the models, we aimed to remove the possibility of bad controls.
For parsimony, we dropped the state insurance market competition variable in the specification presented in Tables 5 and 6.
State insurance market competition was statistically significant, but did not change other effect estimates with the exception of population density, which became insignificant when this insurance competition variable was added to the model.
The data suggested that the main competition variable (HHI 20 km travel time adjusted) was endogenous but quality was not.
Model 1 explicitly allows for the endogeneity of the competition variable, but with pooled data across the waves (albeit with errors clustered on homes between the waves).
We develop an econometric model of network concentration, accounting for demand, cost and competition variables that may affect the propensity of carriers to concentrate flights and passenger connections on a few airports of a network.
Therefore, the effect of gradual mortality on the interim values of tree- and stand-level competition variables is ignored.
The deterministic estimate of tree survival was performed conventionally (Vanclay 1991b) with logistic regression using the same competition variables (BAL and G) employed in the diameter increment sub-model as the independent variables.
X(_mathbf s ) will basically reflect imperfect competition variables stemming from the theoretical and empirical literature, such as the public sector effectiveness, labour market institutions (unions, wage bargaining), social security rules and tax wedge mix.
It was justified by the fact that the area of computing the competition variables (G and BAL) corresponds to the area of the sample plots in the modelling data of Pukkala et al. (2013).
