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

Author

Listed:
  • Chung-Chang Lee
  • Pei-Syuan Lin
  • Ya-Zhu Hong
  • Jun-Chao Chen

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.

Suggested Citation

  • Chung-Chang Lee & Pei-Syuan Lin & Ya-Zhu Hong & Jun-Chao Chen, 2025. "The influence of licensing on real estate agents’ income: An analysis using propensity score matching," Humanities and Social Sciences Letters, Conscientia Beam, vol. 13(1), pages 344-364.
    • Handle: RePEc:pkp:hassle:v:13:y:2025:i:1:p:344-364:id:4109
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