CREAT: Census Research Exploration and Analysis Tool

Business Success: Factors Leading to Surviving and Closing Successfully

January 2001

Written by: Brian Headd

Working Paper Number:

CES-01-01

Abstract

This paper focuses on the startup factors that lead to new firms remaining open, and if they close, the factors leading to whether the owner considered the firm successful at closure. Two independent logit models were developed for closure and success characteristics using the Bureau of the Census' Characteristics of Business Owners (CBO). Business Information Tracking Series (BITS, formerly the LEEM), also from the Bureau of the Census, was used to evaluate business survival rates as the CBO had non-response bias with respect to closure. About half of new employer firms survive at least four years (an estimated one-third of non-employer firms survive this period), and of the firms that closed, owners of about a third felt the firm was successful at closure. Major factors leading to remaining open are having ample capital, having employees, having a good education, and starting for personal reasons (freedom for family life, or wanting to become one's own boss). If the firm closed, major factors leading to owners perceiving the business successful at closure are having no start-up capital or ample capital, having previous ownership experience, and avoiding the retail trade industry. Owners of firms with and without employees had similar rates of believing closed businesses were successful at closure. Owners who were young or started without capital had a higher likelihood of closure but when they closed, they were more likely to consider the firm successful. Gender, race and being older play a small, if any, role in survivability or in owners' perception that the closed firm was successful. Retail trade was the only variable that led to businesses being more likely to close, and more likely to be deemed unsuccessful by the owner at closure.

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, sale, company, agency, corporation, employee, organizational, owner, ownership, startup, venture, entrepreneur, entrepreneurship, shareholder, proprietor, recession, bankruptcy, business survival, franchising, startup firms

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.
:
Characteristics of Business Owners, Standard Statistical Establishment List, Small Business Administration, Center for Economic Studies, County Business Patterns

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