UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.

More information is available at Theses and Dissertations at University of Maryland Libraries.

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Author: search.filters.author.Cao, YiSubject: search.filters.subject.competition

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    Matchmaking or Information Leakage? Disclosure Benefits and Constraints of Corporate Job Advertisement Specificity
    (2018) Cao, Yi; Cheng, Shijun; Business and Management: Accounting & Information Assurance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    This study examines the benefits and constraints of a special form of corporate voluntary disclosure—job advertisements. Using a novel dataset of over 8 million recruiting advertisements posted by public companies, I follow taxonomy theories and create a continuous measure of information specificity, based upon the level of descriptive detail of skill requirements in job advertisements. Consistent with the theory that labor market disclosure mitigates search frictions, I find job advertisement specificity positively predicts employee satisfaction, productivity, and corporate accounting performance and negatively predicts employee turnover rate. My results further suggest that job advertisement specificity provides incremental information about human capital intangibles and improves the value-relevance of accounting numbers. I also show that the information specificity is constrained by product market competition. Together, my results suggest job advertisement is an important voluntary disclosure channel and that the content of job advertisements is informative to capital- and product-market participants.