Various selection criteria, such as semipartial correlations, are discussed for model selection. The revised third edition of the book has been updated to reflect the new features available in Stata 12 and Stata 11. The ANOVA chapter has been revised to incorporate the pwmeans command, to do ...
This method allows for correlation of firms’ individual effects with regressors in equation (2). We observe at the bottom of Table 6 that persistent firms’ effects are relevant to explain firms’ number of workers. Persistent firms’ effects that positively affect employment might be indicative ...
W. 2001. Implementing matching estimators for average treatment in Stata. The Stata Journal, 1 (1): 1–18. Google Scholar Acs, Z., & Audretsch, D. 1987. Innovation, market structure and firm size. The Review of Economics and Statistics, 69 (4): 567–574. Article Google Scholar ...
we find that there are important differences in the relationship between firm experience and export survival depending on the source of the experience. Specifically, experience built up by a firm from previously
(2012) see size as a determiner too. Generally sizehas a positive correlation with material assets, human resources and internationalcompetitiveness, thus enterprises of larger scale has greater potential to export. Chaney(2006) includes liquid constraints (LC) into Melitz’s trade model (2003), ...
(2000), a widening productivity gap between new exporters and domestic producers might not reflect direct benefits from exporting. Instead, such a gap may result from other factors that lead to a positive serial correlation in the firm productivity shocks. Firms with positive productivity shocks are...
4.1Correlation and VIF analysis To investigate the correlation between the variables included in the model, Pearson correlation coefficients were calculated. For the two multi-items constructs, the average score was computed and used in both correlation and multiple regression analyses. With regard to ...
Table 11 Number of firms, by size and year Table 12 Definition of variables Table 13 Classification of industries in ESEE About this article Cite this article Albarran, P., Carrasco, R. & Holl, A. Domestic transport infrastructure and firms’ export market participation.Small Bus Econ40, 879...
0.285 4.595 −3.712 −5.109 −1.644 0 Max 19.02 1 1 1 12.22 0.937 13.06 2.520 5.904 3.703 1 Table 2 shows the correlation test between various variables, and the results show that the correlation coefficient between each variable is very low and there is no obvious correlation relationship...
The Breusch-Godfrey Serial Correlation LM Test results presented in Table 6 show that there were no problems of serial autocorrelation. In addition, the diagnostic test for heteroscedasticity also showed the absence of such problem (Table 7). This indicates that the model was good enough for the...