CREAT: Census Research Exploration and Analysis Tool

Counting The Self-Employed From Two Perspectives: Household Vs. Business Sample Data

August 1995

Working Paper Number:

CES-95-11

Abstract

This study compares the number and attributes of self-employed workers using the Characteristics of Business Owners and Current Population Survey data series. Both sources of data have been widely used in empirical studies of entrepreneurship/self-employment. Substantial and inexplicable differences were found in the two data series' estimates of the number of self-employed men and women for both reference years. In terms of individual attributes, the CBO and CPS appear to report reasonably similar profiles of self-employed individuals in terms of marital status and geographic location, and similar systematic gender differences in the industrial distributions of these individuals. However, in terms of other attributes captured by both data series, including age, the two series exhibit notable dissimilarities.

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, survey, earnings, corporation, employed, entrepreneurial, proprietorship, entrepreneurship, business owners, characteristics businesses, owned businesses, incorporated, economic census, income individuals, employment entrepreneurship, population

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, Internal Revenue Service, Standard Industrial Classification, Bureau of Labor Statistics, Social Security Administration, Center for Economic Studies, Current Population Survey, Survey of Income and Program Participation

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 'Counting The Self-Employed From Two Perspectives: Household Vs. Business Sample Data' are listed below in order of similarity.