2023-07-19-亚开行-网上招聘会的影响_来自孟加拉国的实验证据（英）_44页_782kb

Summary of "The Impact of an Online Job Fair: Experimental Evidence from Bangladesh"

Core Content

This working paper presents the first experimental evidence on the impact of an online job fair on labor market outcomes in Bangladesh. The study evaluates the effectiveness of an online job fair targeting information and communication technology (ICT) jobs for college-educated jobseekers, conducted in November 2021 by Bdjobs.com in collaboration with the Asian Development Bank (ADB).

Main Findings

• Job Offer Generation: The online job fair generated a significant number of job offers, but over 90% of them were rejected.
• No Employment Impact: The study finds no statistically significant effect on the probability or type of employment (such as wage, full-time, or formal employment) at either the first or second endline survey.
• Reservation Wage Reduction: Jobseekers who participated in the fair reduced their reservation wages, indicating a shift in expectations.
• Job Tenure Increase: Participants were more likely to keep their current jobs longer, even if they were not well-matched to their skills.
• Skill-Match Quality Decline: Participants ended up in worse skill-matched jobs compared to the control group.
• Overoptimism as a Key Factor: The results suggest that jobseekers initially had overoptimistic expectations about wages, working conditions, and job availability, which were corrected during the fair, leading to reduced job search activity and worse employment outcomes.
• No Policy Effectiveness: The lack of effectiveness of the online job fair is attributed to jobseekers' overoptimism, not the format of the fair itself. This finding is consistent with similar studies on job matching interventions in other countries.

Key Information

Study Context

• Bangladesh's Labor Market: The country has high search frictions and spatial mismatches, making it a suitable context for studying job matching interventions.
• ICT Sector Importance: The ICT sector is a major focus of national development, with a growing need to support educated youth in transitioning to the labor market.
• Digital Infrastructure: Bangladesh has a rapidly expanding internet user base, which supports the feasibility of an online job fair.

Intervention

• Online Job Fair Components: The fair included job postings, live sessions, and application processes.
• Target Group: Focused on ICT jobs at entry to junior levels for tertiary-educated jobseekers.
• Participation: 1,280 jobseekers were randomly selected as treatment group, while 1,276 were in the control group.
• Accessibility: The fair was free for both jobseekers and employers, and it was accessible to those with digital devices and internet access.

Data and Methods

• Baseline Data: Collected through Bdjobs.com's application form, including demographics, employment status, and job search behavior.
• Endline Surveys: Conducted twice, approximately 2 and 11 months after the fair, with high response rates (94% and 81% respectively).
• Employer Data: Collected via an online survey, with 81% response rate.
• Statistical Analysis: Used regression models to estimate the effects of the fair, with the primary focus on the intent-to-treat (ITT) effect.

Key Statistics

• Jobseeker Demographics: 88% male, mean age 25, 94% had a college diploma or higher.
• Participation: 69% of treatment jobseekers registered, 56% applied for at least one job.
• Job Matches: 17% of applicants received interviews, 32% of those interviewed got job offers, but only 4% accepted them.
• Rejection Rate: 91% of job offers were rejected.

Main Viewpoints

• Online Job Fairs Are Not a Panacea: The study shows that online job fairs alone may not significantly improve employment outcomes due to jobseekers' overoptimistic expectations.
• Behavioral Impact: The fair caused jobseekers to lower their wage expectations and become less active in job search, which may have led to worse employment outcomes.
• Policy Implication: There is a need to educate jobseekers about labor market realities to improve the effectiveness of job matching interventions.

Structure and Components

• Study Design: Randomized controlled trial with treatment and control groups.
• Recruitment and Randomization: Stratified randomization by geographic divisions.
• Data Collection: Baseline and endline surveys, along with administrative data from Bdjobs.com.
• Timeline: The fair took place from 9-11 November 2021, with data collection before, during, and after the event.

Conclusion

The online job fair in Bangladesh did not significantly improve employment outcomes, but it did influence jobseekers' expectations and behavior. The findings highlight the importance of addressing overoptimism in jobseekers and suggest that online job fairs could be an effective add-on to existing job portals if used in conjunction with other labor market interventions.

Additional Notes

• The study contributes to the growing literature on job matching interventions and jobseekers' overoptimism.
• It is one of the first to examine the effects of online job fairs in a developing country context.
• The results suggest that the effectiveness of job matching interventions may be limited unless jobseekers' expectations are managed appropriately.