CREAT: Census Research Exploration and Analysis Tool

On The Turnover of Business Firms and Business Managers

April 1994

Working Paper Number:

CES-92-06

Abstract

The success of a business depends in part on whether or not the manager and the business make a good "fit" or "match." Success also depends upon characteristics of the business that are distinct from the manager, for example, the convenience of the business location to customers. Variations across firms in "match quality" and in "business quality" account, in part, for why some businesses survive and others are discontinued. This paper is a first attempt at assessing the relative importance of variation in match quality and variation in business quality in accounting for the turnover dynamics of the U.S. small business sector. An evolutionary model is developed in which a selection process tends to eliminate both "unfit" business as well as "unfit" pairings between businesses and managers. We estimated this model with the Characteristics of Business Owners Survey. Our estimates suggest that variations in match quality play a more significant role than variations in business, or general, quality in accounting for turnover behavior of U.S. of small businesses. We discuss the implications of this finding and demonstrate its importance in the context of an experiment conducted in the estimated model economy.

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.
:
market, estimating, sale, growth, entrepreneurial, proprietorship, sector, characteristics businesses, proprietor, small businesses, business survival, businesses census

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 Industrial Classification, American Statistical Association, Federal Reserve Bank, Federal Reserve System, Retirement History Survey, Retail Trade

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