# 373 | ResearchBox

ResearchBox # 373 - 'On track for retirement?'

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Pre-Registration

Materials

Data

Code

Other

Experiment

AsPredicted #16628

Experiment - AsPredicted #16628.pdf

png - Calculator input screenshot

calc_1.png

png - Calculator output screenshot

calc_2.png

csv - endline data

endline.csv

Python code - Descriptive statistics

Descriptive_Statistics.py

Python Code - Plot causal forest predictions

Causal_forest_histogram.py

R Code - Average treatment effects

Results.R

R Code - Bell-McCaffrey standard errors

BMlmSE.R

R Code - Causal forest

Causal_Forest.Rmd

pdf - anonymous survey responses

survey.pdf

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BOX INFORMATION

SUPPLEMENTARY FILES FOR
Olckers M. (2021) 'On track for retirement?'. Journal of Economic Behavior & Organization. V190:76-88.
doi: 10.1016/j.jebo.2021.07.028

BOX PUBLIC SINCE
August 10, 2021 (files may not be changed, deleted, or added)

BOX CREATORS
Matthew Olckers (m.olckers@unsw.edu.au)

ABSTRACT
Over sixty percent of employees at a large South African company contribute the minimum rate of 7.5% to a retirement fund—far below the rate of 15% recommended by financial advisers. I use a field experiment to investigate whether providing employees with a retirement calculator, which shows projections of retirement income, leads to increases in contributions. The impact is negligible. The lack of response to the calculator suggests many employees may wish to save less than the minimum. I use a model of asymmetric information to explain why the employer sets a binding minimum.