Friends in High Places: Structural Discrimination in Salary Negotiations

M. D. Seidel; J.  Polzer; K.  Stewart

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Article | Administrative Science Quarterly

Friends in High Places: Structural Discrimination in Salary Negotiations

by M. D. Seidel, J. Polzer and K. Stewart

Keywords: Negotiation;

Format: Print

24 pages

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Citation:

Seidel, M. D., J. Polzer, and K. Stewart. "Friends in High Places: Structural Discrimination in Salary Negotiations." Administrative Science Quarterly 45, no. 1 (March 2000): 1–24. (Reprinted in Social Capital in Business, edited by K.W. Koput and J.P. Broschak, Edward Elgar Publishing, 2010.)

About the Author

Jeffrey T. Polzer

UPS Foundation Professor of Human Resource Management

Organizational Behavior

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Supplement | HBS Case Collection | February 2018

People Analytics at Teach For America (Data Set)

Jeffrey T. Polzer

This data set is a supplement to the People Analytics at Teach For America (A) case.

Citation:
Polzer, Jeffrey T. "People Analytics at Teach For America (Data Set)." Harvard Business School Spreadsheet Supplement 418-715, February 2018. View Details

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Case | HBS Case Collection | February 2018

People Analytics at Teach For America (A)

Jeffrey T. Polzer and Julia Kelley

As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization’s strategy, including recruitment and selection. A few months earlier, former TFA corps member Michael Metzger had spearheaded the launch of a predictive analytics team responsible for integrating strategy across TFA’s recruitment and admissions continuum. Metzger believed that predictive analytics could help address TFA’s recruitment and admissions challenges. Now, TFA’s senior management wanted Metzger and his team to put their data models to the test. From a data modeling standpoint, what variables and models should TFA consider as it began a new recruitment season, and more generally, how heavily should TFA rely on predictive models to reverse the negative trends?

Keywords: Recruitment; Analysis; Forecasting and Prediction;

Citation:
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (A)." Harvard Business School Case 418-013, February 2018. View Details

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Supplement | HBS Case Collection | February 2018

People Analytics at Teach For America (B)

Jeffrey T. Polzer and Julia Kelley

This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques.

Keywords: Data and Data Sets; Forecasting and Prediction; Analysis;

Citation:
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 418-049, February 2018. View Details

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Friends in High Places: Structural Discrimination in Salary Negotiations

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