HKUEMS :: Event Details

Seminar on Accounting by Dr. Michael Kimbrough (September 25, Monday)
posted by School of Business for HKU and Public
Event Type: Public Lecture/Forum/Seminar/Workshop/Conference/Symposium
Event Nature: Business & Economics

Event Details

Accounting Seminar

Topic:

The marginal coefficient: a new approach for identifying observation level sensitivities

Speaker:

Dr. Michael Kimbrough
Associate Professor & Cohn-Reznick Fellow
Robert H. Smith School of Business
University of Maryland


Abstract:

Many constructs of interest to accounting researchers relate to the sensitivity of one variable to another. Examples include the earnings response coefficient, earnings persistence, and earnings timeliness. These constructs are typically measured at the sample level using ordinary least squares (OLS). Because OLS quantifies sensitivity-based constructs at the sample level, it does not allow researchers to explore how variation in sensitivities within a sample affects economic outcomes of interest, which is a common research objective. Researchers have adopted a number of approaches to estimate observation level sensitivities. Each approach captures a portion of the total variation in sensitivities by capitalizing on one or more known sources of variation. We introduce an approach for estimating observation level sensitivities that reflects the variation from known sources captured by traditional approaches as well as the variation from unknown sources and randomness. This approach measures observation level sensitivities based on each observation’s contribution to the sample coefficient. Using the earnings response coefficient context, we show that sensitivity estimates based on our approach subsume and capture substantially more of the within-sample variation in sensitivities than those from existing approaches, are associated in predicted ways with previously documented determinants, and explain economic outcomes.

Date/Time25/09/2017 10:30-12:00
VenueKK1303, 13/F., K.K. Leung Building, The University of Hong Kong
LanguageEnglish

Registration Instruction

Registration is not required.

Contact Information

Should you have any enquiries, please feel free to contact Yuki Chan by email at cyuki@hku.hk