The influence of licensing on real estate agents’ income: An analysis using propensity score matching

This study explored the influence of real estate licenses on their income. The potential interference of personal attributes was controlled using propensity score matching to reduce selection bias. On average, the matching results showed that the treatment effect was 0.42 indicating that licensed agents had a 42% higher monthly income than unlicensed agents after matching. The regression found that the coefficient of licensing was 0.397 at a 5% significance level. Indeed, licensed agents had a 48.7% higher monthly income than unlicensed agents. This indicates that the monthly income gap between licensed and unlicensed agents was smaller after accounting for the estimation efficiency and including the control variables. The main reason for the large differences between our findings and those of previous studies is the use of regression analysis in the latter. The results suggest that real estate agents should be more aware of the importance of professional licensing for gaining a higher income.

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Publication Details

Journal
Humanities and Social Sciences Letters
Published
2025-02-27
DOI
https://doi.org/10.18488/73.v13i1.4109
Primary Topic
Occupational and Professional Licensing Regulation
Type
article
Field-Weighted Citation Impact
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article

The influence of licensing on real estate agents’ income: An analysis using propensity score matching

Pei-Syuan Lin, Chung-Chang Lee, Junchao Chen, Yang Hong
Humanities and Social Sciences Letters
Occupational and Professional Licensing Regulation
article

The influence of licensing on real estate agents’ income: An analysis using propensity score matching

Pei-Syuan Lin, Chung-Chang Lee, Junchao Chen, Yang Hong
article en

Abstract

This study explored the influence of real estate licenses on their income. The potential interference of personal attributes was controlled using propensity score matching to reduce selection bias. On average, the matching results showed that the treatment effect was 0.42 indicating that licensed agents had a 42% higher monthly income than unlicensed agents after matching. The regression found that the coefficient of licensing was 0.397 at a 5% significance level. Indeed, licensed agents had a 48.7% higher monthly income than unlicensed agents. This indicates that the monthly income gap between licensed and unlicensed agents was smaller after accounting for the estimation efficiency and including the control variables. The main reason for the large differences between our findings and those of previous studies is the use of regression analysis in the latter. The results suggest that real estate agents should be more aware of the importance of professional licensing for gaining a higher income.

Humanities and Social Sciences LettersVol. 13(1)
National Pingtung University (TW), National Yang Ming Chiao Tung University (TW), Chinese Culture University (TW), National Chengchi University (TW)
Openalex Percentile: Top 92%
Occupational and Professional Licensing Regulation
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