Professor Pedro Carneiro: all content

Showing 1 – 20 of 73 results

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The long shadow of deprivation: Differences in opportunities across England

Report

A socially mobile country provides equal opportunities for everyone, across big cities and small towns, and regardless of whether your parents are rich or poor. This report makes use of newly linked administrative data on all state-educated pupils born between 1986 and 1988 to follow a group of sons from where they grew up, looking at their family circumstances and their educational achievement, through to the labour market.

15 September 2020

Working paper graphic

Optimal Data Collection for Randomized Control Trials

Working Paper

In a randomized control trial, the precision of an average treatment effect estimator and the power of the corresponding t-test can be improved either by collecting data on additional individuals, or by collecting additional covariates that predict the outcome variable. To design the experiment, a researcher needs to solve this tradeoff subject to her budget constraint. We show that this optimization problem is equivalent to optimally predicting outcomes by the covariates, which in turn can be solved using existing machine learning techniques using pre-experimental data such as other similar studies, a census, or a household survey. In two empirical applications, we show that our procedure can lead to reductions of up to 58% in the costs of data collection, or improvements of the same magnitude in the precision of the treatment effect estimator.

2 May 2019

Working paper graphic

Optimal data collection for randomized control trials

Working Paper

In a randomized control trial, the precision of an average treatment effect estimator and the power of the corresponding t-test can be improved either by collecting data on additional individuals, or by collecting additional covariates that predict the outcome variable. We propose the use of pre-experimental data such as other similar studies, a census, or a household survey, to inform the choice of both the sample size and the covariates to be collected.

23 October 2017

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The value of private schools: evidence from Pakistan

Working Paper

Using unique data from Pakistan we estimate a model of demand for di fferentiated products in 112 rural education markets with signifi cant choice among public and private schools. Our model accounts for the endogeneity of school fees and the characteristics of students attending the school.

13 May 2016

Working paper graphic

Optimal data collection for randomized control trials

Working Paper

In a randomized control trial, the precision of an average treatment effect estimator can be improved either by collecting data on additional individuals, or by collecting additional covariates that predict the outcome variable. We propose the use of pre-experimental data such as a census, or a household survey, to inform the choice of both the sample size and the covariates to be collected.

1 April 2016