LFN and employment growth.

Logistic regressions with marginal effects of covariates. The model was performed for the Finnish dataset. Non-survivor firms were excluded. Closeness, betweenness, clustering coefficients, and neighbors in same municipality are in percentages. It must be noted that although closeness and betweenness are in percentage, their empirical range is quite restricted. For example, the firm with highest betweenness has a level of nearly 7%, thus the high marginal effect. Standard errors in parentheses.
***significant at 1%.

基于协变量（covariates）边际效应（marginal effects）的逻辑回归（Logistic Regression）模型。本模型针对芬兰数据集进行拟合。已剔除非存活企业。紧密度中心性（closeness）、介数中心性（betweenness）、聚类系数（clustering coefficients）以及同市镇内邻接企业的相关指标均以百分比为单位。需注意，尽管紧密度中心性与介数中心性以百分比为单位，但其实际取值范围相当有限。例如，介数最高的企业其介数值仅接近7%，这也正是其边际效应较高的原因。括号内为标准误（standard errors）。
*** 表示在1%显著性水平下显著。