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Managerial Economics & Decision Sciences

Associate Professor of Managerial Economics & Decision Sciences

Portrait of Erika Deserranno, Faculty at the Kellogg School of Management
  • Professor Deserranno joined the Kellogg faculty after receiving her PhD in Economics from the London School of Economics. Her research interests lie at the intersection between development and personnel economics. She is working on issues related to the selection, recruitment and motivation of workers both in private and public organizations. 
About Erika
Research interests
  • Development Economics
  • Personnel Economics
  • Labor Economics
  • Certificate of Impact Teaching Award
    Teaching Excellence Award, LSE

Leadership and Crisis Management (PACT-440-5)

This course was formerly known as KPPI 440-A
In recent decades corporations have increasingly become the dominant source for political and social change. Increased globalization and technological progress have further accelerated this process. Businesses are now held accountable by standards other than legal compliance or financial performance. Successful business leaders have recognized that these challenges are best mastered by a commitment to values-based management. However, simply "doing the right thing" is not enough. Rather, companies increasingly find themselves as targets of aggressive legal action, media coverage and social pressure. Organizations must be prepared to handle rapidly changing environments and anticipate potential threats. This requires a deep understanding of the strategic complexities in managing various stakeholders and constituencies. To confront students with these challenges in a realistic fashion, the class is structured around a rich set of challenging case studies and crisis simulation exercises.

Business Analytics II (DECS-431-0)

This sequel to DECS-430 extends the statistical techniques learned in that course to allow for the exploration of relationships between variables, primarily through multivariate regression. In addition to learning basic regression skills, including modeling and estimation, students will deepen their understanding of hypothesis testing and how to make inferences and predictions from data. Students will also learn new principles such as identification and robustness. The course has an intense focus on managerial relevant applications, cases and interpretations.