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The right person for the right job: Can information about job prospects reduce dropout in a large Indian training programme?
Initial registration date
December 10, 2018
February 26, 2020 7:29 AM EST
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Other Primary Investigator(s)
University of Warwick
University of Warwick
University of Warwick
Additional Trial Information
J24, M51, M53
DDU-GKY is a large-scale training programme in India. It is targeted at the rural poor youth, and combines short-term training with guaranteed job placement. Dropout during training and the lack of retention in placement jobs are the main problems faced by the programme. Based on evidence gathered in a previous project, we hypothesise that an important determinant of dropout is misinformation of trainees about the programme and placement jobs. We design an information intervention that takes the form of two information sessions, one before the training starts and the second before trainees are placed with employers for on-the-job training. We randomise these interventions across 90 training batches in Bihar and Jharkhand. We intend to use administrative and survey data to analyse the effects of these interventions on training completion, job uptake and retention, as well as other outcomes describing the labour-market and socio-economic situation of trainees.
Chakravorty, Bhaskar et al. 2020. "The right person for the right job: Can information about job prospects reduce dropout in a large Indian training programme?." AEA RCT Registry. February 26.
The intervention takes place at the very beginning of the training, before "batch freezing". Before batch freezing, trainee dropout has low cost for training providers: they have time to attract more students to meet their quantitative objectives. We gather trainees in a classroom and provide them with a list of detailed characteristics of potentially available placement jobs. The list includes job title, company name, location (city and state), and compensation package (net monthly wage and in-kind benefits). Trainees will have an opportunity to ask the placement officer, questions regarding the contents of the list.
This intervention takes place a few days before placement. We gather trainees in a classroom and provide them with a list of detailed characteristics of positions that are actually available to them for placement. The list includes job title, company name, location (city and state), and compensation package (net monthly wage and in-kind benefits). Trainees will have an opportunity to ask the placement officer questions regarding the contents of the list.
Intervention Start Date
Intervention End Date
Primary Outcomes (end points)
Main outcomes: Job retention three months after the end of the training; Dropout before batch freezing; Training completion conditional on being there after batch freezing; Job retention after three months conditional on training completion.
Primary Outcomes (explanation)
Training completion and placement outcomes: from the administrative data of the state implementation agency.
Other labour-market outcomes: from the endline survey.
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
The experiment will be conducted as a randomised controlled trial with two arms, consisting of: (i) intervention A & B together, and (b) a control group (no intervention). The randomisation units are batches and the randomisation is stratified at the district*sector level.
Experimental Design Details
In the office by a computer.
Was the treatment clustered?
Sample size: planned number of clusters
90 training batches.
Sample size: planned number of observations
2,700 trainees (about 30 trainees per batch).
Sample size (or number of clusters) by treatment arms
45 training batches control, and 45 training batches as treatment.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We consider a power of 80% and a significance level of 5%. For the main outcome (retention in employment 3 months after placement), we assume a base mean of 70% and intra-cluster correlation of 0.1. The minimum detectable effect is 10.6 percentage points with 45 clusters per group and 30 observations per cluster.
INSTITUTIONAL REVIEW BOARDS (IRBs)
Humanities and Social Science Research Ethics Committee, University of Warwick.
IRB Approval Date
IRB Approval Number