Pre-Analyis Plan: Evaluation of a socio-labour inclusion program of women in vulnerable situations in Castilla La Mancha

Last registered on July 28, 2023
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Pre-Trial

Trial Information

General Information

Title
Pre-Analyis Plan: Evaluation of a socio-labour inclusion program of women in vulnerable situations in Castilla La Mancha
RCT ID
AEARCTR-0011837
Initial registration date
July 26, 2023

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
July 28, 2023, 2:04 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Country
Spain
Region
Castilla La Mancha

Primary Investigator

Name
Teresa Molina-Millán
Affiliation
University of Alicante
Contact Primary Investigator

Other Primary Investigator(s)

PI Name
María Hernández-de-Benito
PI Affiliation
University of Alicante
Contact Investigator

Additional Trial Information

Status
On going
Start date
2022-06-01
End date
2023-11-30
Keywords
Gender, Labor, Welfare
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Active labor market policies are widely implemented to improve labor market outcomes of unemployed individuals. However, empirical evidence suggests the need for innovative policies that do not only focus on greater immediate rates of job acceptances, but also aim to improve intermediate outcomes that can lead to long-term regular employment and greater social inclusion. The proposed experimental study will evaluate the introduction of a multidimensional system approach in the implementation of active labor market policies by Castilla La Mancha. The new approach will assign caseworkers to assess the heterogeneous needs and interests of each individual and then implement personalized itineraries of training and social activities designed to improve their labor market and social inclusion outcomes. The new approach will be offered to a randomly selected group of socioeconomically vulnerable women.
External Link(s)

Registration Citation

Citation
Hernández-de-Benito, María and Teresa Molina-Millán. 2023. "Pre-Analyis Plan: Evaluation of a socio-labour inclusion program of women in vulnerable situations in Castilla La Mancha." AEA RCT Registry. July 28. https://doi.org/10.1257/rct.11837-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
The proposed study aims to evaluate the importance of recognizing and addressing the heterogeneous needs and interests of individuals in the assignment of active labor market policies by caseworkers in Castilla La Mancha. The proposed RCT aims to determine whether the offer of personalized inclusion itineraries can outperform the status quo in improving women's social and labor inclusion outcomes, as well as the demand for active labor market policies themselves
Intervention Start Date
2022-09-30
Intervention End Date
2023-09-30

Primary Outcomes

Primary Outcomes (end points)
The main outcome is labor and social inclusion, and well-being.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Within each intervention area, municipalities were randomly allocated into two groups:
1) Control group: A non-pure control group where individuals receive Castilla-La Mancha status quo primary care social services.
2) Treatment group: where individuals are exposed to a new multidisciplinary approach of the services provides by Castilla- La Mancha primary care social services. The proposed model aims to identify social difficulty situations of each person, using an assessment scale on social difficulty, based on which the Social Agent will make a diagnosis to determine the appropriate social inclusion itinerary for each case. The actions to be carried out in the itineraries will be focused on the following areas: Personal, Employment, Residential, Health, and Relational.
Experimental Design Details
Randomization Method
Randomization done in office by a computer.
Randomization Unit
The randomization was done by the Ministry. After dividing into clusters, they follow the next method to randomly assign each of them to either the control or the treatment group:

1. Stratify the clusters by areas of intervention (15 areas)

2. Within each area, they sort the clusters by size from largest to smallest, and then by average valuation on a scale of social difficulty from lowest to highest.

3. Consider pairs of clusters according to this order (i.e. the 1st and 2nd cluster, the 3rd and 4th cluster, and so on), and randomly assign one cluster to treatment and the other to control in each pair.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
The final sample consists of 92 areas
Sample size: planned number of observations
The final sample is made up of 2004 women.
Sample size (or number of clusters) by treatment arms
46 areas in the treatment group and 46 in the control group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Ministry of Inclusion, Social Inclusion and Migration
IRB Approval Date
2022-11-07
IRB Approval Number
N/A
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials