CREAT: Census Research Exploration and Analysis Tool

The Effect of Firm Compensation Structures on Employee Mobility and Employee Entrepreneurship of Extreme Performers

March 2010

Working Paper Number:

CES-10-06

Abstract

Previous studies of employee entrepreneurship have not considered the rewards available to potential entrepreneurs inside of their current organizations. This study hopes to fill this gap by investigating how the firm's compensation structure, an important strategic decision closely scrutinized by human resource management, affects the mobility and entrepreneurship decisions of its employees, particularly those employees at the extreme ends of the performance distribution. Using a comprehensive U.S. Census data set covering all employees in the legal services industry across ten states for fifteen years, we find that high performing employees are less likely to leave firms with highly dispersed compensation structures. However, if high performers do leave employers that offer highly disperse compensation structures, they are more likely to join new firms. Less talented employees, on the other hand, are more likely to leave firms with greater pay dispersion. Unlike high performers, we find that low performers are less likely to move to new ventures when departing firms with highly disperse compensation structures.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the text, highlighting the most significant topics and trends. This approach not only enhances searchability but provides connections that go beyond potentially domain-specific author-defined keywords.
:
earnings, employee, employ, employed, entrepreneurial, venture, entrepreneur, entrepreneurship, tenure, salary, hire, employment entrepreneurship, opportunity, longitudinal employer, prospect, earner, compensation

Tags Tags are automatically generated using a pretrained language model from spaCy, which excels at several tasks, including entity tagging.

The model is able to label words and phrases by part-of-speech, including "organizations." By filtering for frequent words and phrases labeled as "organizations", papers are identified to contain references to specific institutions, datasets, and other organizations.
:
Metropolitan Statistical Area, Ordinary Least Squares, Bureau of Economic Analysis, Longitudinal Employer Household Dynamics

Similar Working Papers Similarity between working papers are determined by an unsupervised neural network model know as Doc2Vec.

Doc2Vec is a model that represents entire documents as fixed-length vectors, allowing for the capture of semantic meaning in a way that relates to the context of words within the document. The model learns to associate a unique vector with each document while simultaneously learning word vectors, enabling tasks such as document classification, clustering, and similarity detection by preserving the order and structure of words. The document vectors are compared using cosine similarity/distance to determine the most similar working papers. Papers identified with 🔥 are in the top 20% of similarity.

The 10 most similar working papers to the working paper 'The Effect of Firm Compensation Structures on Employee Mobility and Employee Entrepreneurship of Extreme Performers' are listed below in order of similarity.