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Does Relationship Counselling, Reduce Gender Inequality? Evidence from a Randomized Control Trial in India

Last registered on December 13, 2022
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Pre-Trial

Trial Information

General Information

Title
Does Relationship Counselling, Reduce Gender Inequality? Evidence from a Randomized Control Trial in India
RCT ID
AEARCTR-0010461
Initial registration date
December 03, 2022

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
December 13, 2022, 10:18 PM EST

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

Locations

Country
India
Region
Uttar Pradesh

Primary Investigator

Name
Debayan Pakrashi
Affiliation
Department of Economic Sciences, Indian Institute of Technology Kanpur
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Other Primary Investigator(s)

PI Name
Debayan Pakrashi
PI Affiliation
Department of Economic Sciences, Indian Institute of Technology Kanpur
Contact Investigator
PI Name
Ashish Sedai
PI Affiliation
Department of Economics College of Business University of Texas at Arlington
Contact Investigator
PI Name
Aashima Sinha
PI Affiliation
University of Utah
Contact Investigator

Additional Trial Information

Status
On going
Start date
2022-07-18
End date
2023-05-31
Keywords
Behavior, Gender, Other, Welfare
Additional Keywords
time-use, women empowerment, gender equality
JEL code(s)
J12, J16, I3
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Rigid gender norms of home production and caregiving have deterred female labor force participation (FLFP) and women’s economic autonomy and are major causes of intimate partner violence and mental health issues, especially among women and girls. Women’s social and economic exclusion is a global problem with drastic repercussions evident in developing economies, especially in India, where since 2005, FLFP is on a steady decline and indicators of gender inequality are higher than in comparable economies. In this context, this study using a randomized control trial will attempt to examine if providing relationship counseling to couples on gender equality, stereotype, discrimination, trust, and cooperation could reduce gender inequality in labor force participation and unpaid work, affect social and economic decision-making by men and women, and improve overall household welfare. In addition, we seek to examine if relationship counseling could improve the self-efficacy and self-esteem of women and children in the household. The treatment is divided into two arms, first, we examine the impact of informational relationship counseling, and in the second arm, in addition to the relationship counseling, couples will carry out activities and play games, related to social and economic issues around gender, with community members in order to assess if ‘learning by doing' has an additional effect on the outcomes of interest. The study will draw the attention of policymakers to the relative lack of relationship counseling in developing economies and potentially highlight its significance.
External Link(s)

Registration Citation

Citation
Pakrashi, Debayan et al. 2022. "Does Relationship Counselling, Reduce Gender Inequality? Evidence from a Randomized Control Trial in India." AEA RCT Registry. December 13. https://doi.org/10.1257/rct.10461-1.0
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Experimental Details

Interventions

Intervention(s)
The design of the experiment will be as follows:
The experiment design involves two treatment arms, each comprising four sessions that will last for about 50-60 minutes each.
Treatment 1 will be provided to 300 randomly selected couples and will include providing informative counseling to couples on four broad issues – gender equality, gender discrimination, gender stereotypes, and the importance of trust, cooperation, and respect in marital relationships. The sessions will include explaining gender-related concepts, watching short videos/films on social norms and women’s autonomy, and discussing the keys to successful and happy marriages. The counseling modules are prepared jointly by the principal investigators and a team of professional experts.
Further, another 300 randomly selected couples will be provided Treatment 2 in addition to Treatment 1. The second treatment will involve activities and games designed around the same four broad issues mentioned above. The underlying difference between the two treatments is that the former captures learning via one-to-one information/discussion sessions whereas the latter captures learning by doing in addition to learning by learning.
Finally, the control group will include the remaining 300 couples who will not receive any treatment
Intervention Start Date
2022-12-01
Intervention End Date
2023-03-31

Primary Outcomes

Primary Outcomes (end points)
1. Time-use outcomes: total time spent in minutes on a typical day on paid work, unpaid care work, domestic chores, leisure, self-care, socializing, and learning activities.
2. Women- empowerment and decision making
3. Gender norms
4. Children's and couple well-being outcomes.
5. Children's time use, school attendance and grades.
6. experimental games to capture resource sharing, trust, altruism, etc.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
mental and physical health, willingness to work and actual labour force participation, part-time activities, self-employment based activities, etc.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Methods and Procedures: The main estimating equation will be:
𝑦𝑖𝑗 = 𝛼 + 𝛽1𝑇𝑖1 + 𝛽2𝑇𝑖2 + 𝛾𝑋𝑖𝑗 + 𝜖𝑖𝑗
where 𝑦𝑖𝑗 is an outcome of individual i who lives in region j. This outcome variable can be any of
the outcome variables of interest. The dummy variable 𝑇𝑖1( 𝑜𝑟 𝑇𝑖2)
takes the value of one if the individual is assigned randomly the first couple counselling treatment
(or couple counselling+game participation treatment), and zero otherwise. 𝑋𝑖𝑗 will capture other
household and demographic characteristics that may also affect women’s autonomy and child
psycho-social welfare. The control variables may include age, religion, caste, educational
attainment, baseline employment status of the married women as well as education and
employment status of the father or household head, household structure (nuclear or joint), wealth
index, household composition, and type of roof, floor, walls, drinking water facilities (variables
that affect child health and education). In the child-specific regressions, we will also add the age,
gender and birth order of the child. Wherever available, we will also control for the baseline
value of the outcome variables on the right-hand side. The term 𝜖 is the error term. All regressions
will be clustered at the regional level. We shall also look into multiple hypothesis testing, attrition
bias, social desirability bias, and recall bias.
Experimental Design Details
Not available
Randomization Method
Randomization will be done on a computer using STATA.
Randomization Unit
At the village or region level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
90 clusters
Sample size: planned number of observations
1800 individuals/ 900 couples
Sample size (or number of clusters) by treatment arms
Treatment arm 1: 300 couples
Treatment arm 2: 300 couples
Control group: 300 couples
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Indian Institute of Technology Kanpur
IRB Approval Date
2022-09-09
IRB Approval Number
IITK/IEC/2022-23/I/21
Analysis Plan