Panel Data Regression Modeling with Heteroscedasticity and Periodicity Effects

Adeboye, Nurain Olawale and Agunbiade, Dawud Adebayo (2019) Panel Data Regression Modeling with Heteroscedasticity and Periodicity Effects. In: 3nd PSSN (formerly NSS) International Conference, 2019, Ahmadu Bello University of Zaria, Nigeria.

[img] Text
P464-471_PSSN-CP-2019.pdf

Download (636kB)

Abstract

This research investigates the effects of heteroscedasticity and periodicity in a Panel Data Regression Model (PDRM) of audit fees for commercial banks. PDRMs are often associated with these effects, of which previous attempts to model audit fees have failed to investigate. This study thus explored this phenomenon by extending the existing works within the context of fitting an audit fee model and derivation of a Joint as well as conditional Lagrange Multiplier (LM) test via a two-way error component model. LM test results showed that the tests have good size and power as all the three tests are significant at 5%. Results were achieved through the empirical study of real-life data sourced from the banks’ annual published accounts. Both LSDVM and REM captured the goodness of fit better when compared to the POLS model. However, the Hausman test revealed that LSDVM is most preferable.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Faculty of Engineering, Science and Mathematics > School of Mathematics
Depositing User: Mr Taiwo Egbeyemi
Date Deposited: 13 Jul 2020 11:40
Last Modified: 13 Jul 2020 11:40
URI: http://eprints.federalpolyilaro.edu.ng/id/eprint/1010

Actions (login required)

View Item View Item