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Hence, we hope to take advantage of a counter-factual model to analyze labor market effects of occupational interaction more effectively, based on more data.
Therefore, if market effects of occupational interaction are verified, the performance of occupational interactions in organizations of diverse marketization degrees should be investigated continuously.
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The labor market effect of occupational interaction not only is, therefore, able to exert influences on individual labor market outcomes but also can be differentiated from functions of general individual social networking.
For the purpose of solving endogeneity problems of general model regression, the first-order difference method is adopted based on the fixed effect hypothesis to eliminate individual heterogeneity, which fails to vary from the model with time, so that the real income effect of occupational interaction can be acquired.
Based on JSNET2009 data, this paper also regards the urban workplace as its research site to analyze the casual effects between frequency of occupational interaction and worker income.
First of all, emphasis is placed on the influence of occupational interaction on income.
Hypothesis 3: The influence of occupational interaction on income will be stronger in non-state sectors.
First, the concept of occupational interaction as social capital was summarized together with the relevant research, so that classifications and measurements about occupational interaction were specifically probed based on previous studies.
Considering increases in the overall mean value and the standard deviation, the gaps of occupational interaction are becoming greater.
Thus, interaction item analysis is further conducted to study whether attributes of state ownership and non-state ownership have any impact on functions of occupational interaction.
From the viewpoint of occupational interaction element features, objects of occupational interactions reflect the network structure of laborers in the field domain of work, while the frequency of interaction signifies the possibility for laborers to retrieve resources from the network structure (Bian 2004).
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