|
Field
Trial Status
|
Before
on_going
|
After
completed
|
|
Field
Abstract
|
Before
We conduct a randomized experiment providing local and customized search guidance to jobseekers on an online job portal in India. The central aim of the project is to understand whether and how this information provision influences job search strategies and labor market outcomes. Specifically, we provide jobseekers with two types of information-- callback rates and measures of relative ability-- at the local market level, which is defined as the city and job category of search for individual jobseekers. We follow these jobseekers over a period of 2-3 months and use a combination of ‘click data’ from the portal and survey data to measure impacts on labor market outcomes.
|
After
We conduct a randomized experiment providing local and customized search guidance to jobseekers on an online job portal in India. The central aim of the project is to understand whether and how this information provision influences job search strategies and labor market outcomes. Specifically, we provide jobseekers with two types of information-- callback rates and measures of relative ability-- at the local market level, which is defined as the city and job category of search for individual jobseekers. We follow these jobseekers over a period of 2-3 months and use a combination of ‘click data’ from the portal and survey data to measure impacts on labor market outcomes.
UPDATE: Due to the COVID-19 pandemic, the timeline and the treatments were changed. This registration has been updated to reflect these changes. The new treatments varied information on number of new vacancies and their attributes, number of applicants and their attributes, and a combination of the two.
|
|
Field
Trial End Date
|
Before
May 31, 2021
|
After
October 31, 2022
|
|
Field
Last Published
|
Before
March 09, 2020 07:47 PM
|
After
January 23, 2024 01:21 PM
|
|
Field
Intervention (Public)
|
Before
The interventions involve providing two types of information to jobseekers on an online job portal: (i) callback rates on the platform; and (ii) relative ability. All information is provided at the local labor market level, which is defined as the city and job category of search for individual jobseekers.
|
After
ORIGINAL: The interventions involve providing two types of information to jobseekers on an online job portal: (i) callback rates on the platform; and (ii) relative ability. All information is provided at the local labor market level, which is defined as the city and job category of search for individual jobseekers.
UPDATED: The treatments were modified to be of three different types: (i) Demand - provided information about the average number of new vacancies in a month and their salary and experience attributes; (ii) Supply - provided information about the average number of searchers applying to jobs in a month and either their educational distribution or their likelihood of applying to more than one job; and (iii) Tightness - provided information about the average number of new vacancies, searchers, and applications in a month, with a subset also given information about the likelihood of employer contact.
|
|
Field
Intervention Start Date
|
Before
March 09, 2020
|
After
February 22, 2021
|
|
Field
Intervention End Date
|
Before
August 31, 2020
|
After
April 30, 2022
|
|
Field
Experimental Design (Public)
|
Before
The interventions involve providing two types of information to jobseekers on an online job portal: (i) callback rates on the platform; (ii) relative ability. All information is provided at the local labor market level, which is defined as the city and job category of search for jobseekers. We recruit jobseekers on an online job portal to participate in our study. They are asked to complete a short survey activity which collects basic demographics, baseline beliefs, and administers an English skills test. Upon successful completion of the activity, they are randomly assigned to receive one or both of the two information types or to the control group, which does not receive any information. These information treatments are delivered directly on the online job portal after completion of the activity and e-mailed to the jobseekers. The experimental groups are given below, with some additional variation in the exact content of the treatment to deepen our understanding of how and which types of information may affect search.
Group A: Control group. No information is provided.
Group B: Callback rates. We provide average monthly callback rate on the platform for your local labor market (B1). In this variation, we show callback rates from an adjacent job category that the jobseeker may be suitable for (B2). In a second variation, we show callback rates by education level to increase the customization and relevance of the information for the jobseeker; we do this both for their preferred job category and an adjacent job category (B3 and B4).
Group C: Relative ability. We show relative education levels in your local labor market (C1). In a variation, we also show percentile rank on an English skills test as a measure of ability (C2).
Group D: Callback rates + relative ability. We combine treatments from group B and C to see the joint effects of providing information on callback rates and relative ability. We only show callback rates for your local labor market (B1) and show either relative education levels (C1) or the the percentile rank treatment (C2).
Information treatments on callback rates and relative education levels are generated by using 6 months of online job portal data prior to the start of the experiment. Our information treatment on percentile rank on an English skills test relies on data from tests taken by jobseekers using the portal whom we invited via email and on the portal prior to the start of the experiment. We use those completed tests to generate relative performance rankings at the local labor market level.
|
After
UPDATED: Job seekers were sampled either through advertisements directly on the portal or via email. They were invited to participate in a study and once they clicked a link, there were redirected to a separate survey screen. Upon completion of a self-administered baseline survey, they were randomly assigned to one of the following groups:
(i) Demand: average number of new vacancies in a given month and their average minimum salary and experience requirements
(ii) Supply - Version 1: average number of searchers who apply to a job in a given month and the educational distribution of these searchers
(iiI) Supply - Version 2: average number of searchers who apply to a job in a given month, total applications and percent of searching applying to more than one job
(iv) Tightness - Version 1: average number of new vacancies, searchers and applications in a month
(v) Tightness - Version 2: average number of new vacancies, searchers and applications in a month, and likelihood of employer contact
(vi) Placebo - general job search advice
Information was delivered directly on the screen (after completion of the baseline survey) and sent via email. Information, as per assignment, was also updated for two months after baseline and sent via email.
All information treatments were customized for the preferred city X occupation of the job seekers using truthful administrative data from the portal. Information shows reflected averages over three recent months relative to the sampling month. In addition, to avoid discouragement, all information treatments included general job search advice and information on two additional similar occupations. The information was updated once a month on the survey infrastructure so job seekers would receive up-to-date information. We followed job seekers on the portal and completed a follow-up survey seven months, on average, after treatment.
ORIGINAL: The interventions involve providing two types of information to jobseekers on an online job portal: (i) callback rates on the platform; (ii) relative ability. All information is provided at the local labor market level, which is defined as the city and job category of search for jobseekers. We recruit jobseekers on an online job portal to participate in our study. They are asked to complete a short survey activity which collects basic demographics, baseline beliefs, and administers an English skills test. Upon successful completion of the activity, they are randomly assigned to receive one or both of the two information types or to the control group, which does not receive any information. These information treatments are delivered directly on the online job portal after completion of the activity and e-mailed to the jobseekers. The experimental groups are given below, with some additional variation in the exact content of the treatment to deepen our understanding of how and which types of information may affect search.
Group A: Control group. No information is provided.
Group B: Callback rates. We provide average monthly callback rate on the platform for your local labor market (B1). In this variation, we show callback rates from an adjacent job category that the jobseeker may be suitable for (B2). In a second variation, we show callback rates by education level to increase the customization and relevance of the information for the jobseeker; we do this both for their preferred job category and an adjacent job category (B3 and B4).
Group C: Relative ability. We show relative education levels in your local labor market (C1). In a variation, we also show percentile rank on an English skills test as a measure of ability (C2).
Group D: Callback rates + relative ability. We combine treatments from group B and C to see the joint effects of providing information on callback rates and relative ability. We only show callback rates for your local labor market (B1) and show either relative education levels (C1) or the the percentile rank treatment (C2).
Information treatments on callback rates and relative education levels are generated by using 6 months of online job portal data prior to the start of the experiment. Our information treatment on percentile rank on an English skills test relies on data from tests taken by jobseekers using the portal whom we invited via email and on the portal prior to the start of the experiment. We use those completed tests to generate relative performance rankings at the local labor market level.
|
|
Field
Randomization Method
|
Before
Randomization done on the online job portal by implementation partner
|
After
Randomization done by survey software
|
|
Field
Keyword(s)
|
Before
Gender, Labor
|
After
Gender, Labor
|
|
Field
Building on Existing Work
|
Before
|
After
No
|