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Startup Dynamics: Transitioning from Nonemployer Firms to Employer Firms, Survival, and Job Creation

April 2025

Working Paper Number:

CES-25-26

Abstract

Understanding the dynamics of startup businesses' growth, exit, and survival is crucial for fostering entrepreneurship. Among the nearly 30 million registered businesses in the United States, fewer than six million have employees beyond the business owners. This research addresses the gap in understanding which companies transition to employer businesses and the mechanisms behind this process. Job creation remains a critical concern for policymakers, researchers, and advocacy groups. This study aims to illuminate the transition from non-employer businesses to employer businesses and explore job creation by new startups. Leveraging newly available microdata from the U.S. Census Bureau, we seek to gain deeper insights into firm survival, job creation by startups, and the transition from non-employer to employer status.

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.
:
enterprise, company, growth, corporation, organizational, employ, employed, entrepreneurial, startup, venture, proprietorship, entrepreneur, business startups, entrepreneurship, proprietor, employment growth, hiring, wholesale, employees startups

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.
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Internal Revenue Service, Small Business Administration, Center for Economic Studies, Organization for Economic Cooperation and Development, Longitudinal Business Database, Employer Identification Numbers, National Employer Survey, Educational Services, Census Bureau Disclosure Review Board, Integrated Longitudinal Business Database, Survey of Business Owners, Arts, Entertainment, Accommodation and Food Services, Health Care and Social Assistance, Annual Business Survey, Nonemployer Statistics, Professional Services

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