Expect the Unexpected: Measuring Noise & Bias in the Credit Assessment Process
The purpose of the thesis is to measure how bias impacts loan officers’ decision-making upon assessing mortgage applications and the level of noise embedded within the process. Quantitative data were collected from 15 loan officers working at three different branches at Handelsbanken answering a questionnaire based on fictional mortgage applications. The statistical analysis used an unpaired t-tes