Agency, Earnings Profiles, Productivity, and Hours Restrictions

666 indexed citations
published 1981

Impact in

Classified as

Authors
Edward P. Lazear
Journal
American Economic Review

In The Last Decade

doi.org/w4186474 →

Countries where authors are citing Agency, Earnings Profiles, Productivity, and Hours Restrictions

Specialization
Citations

This map shows the geographic impact of Agency, Earnings Profiles, Productivity, and Hours Restrictions. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Agency, Earnings Profiles, Productivity, and Hours Restrictions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agency, Earnings Profiles, Productivity, and Hours Restrictions more than expected).

Fields of papers citing Agency, Earnings Profiles, Productivity, and Hours Restrictions

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Agency, Earnings Profiles, Productivity, and Hours Restrictions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Agency, Earnings Profiles, Productivity, and Hours Restrictions.

About Agency, Earnings Profiles, Productivity, and Hours Restrictions

This paper, published in 1981, received 666 indexed citations . Written by Edward P. Lazear covering the research area of Demography, Economics and Econometrics and Accounting. It is primarily cited by scholars working on Economics and Econometrics (541 citations), Demography (220 citations), General Health Professions (169 citations), Accounting (112 citations) and Public Administration (79 citations). Published in American Economic Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/w4186474.

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