I am a development economist with research interests spanning the fields Economics of Education, Labour and Health Economics. My research focuses on the effects of early-life shocks and early childhood/adolescent investments on later-life (adult) outcomes, evaluating the impact of public programs, firm dynamics and labour, and the long-term impact of conflicts on economic development. I hold a DPhil in Economics from Deakin University, Australia and my thesis focused on Civil Conflict, Education, and Women's Empowerment. View my paper below:
Teaching Associate, Deakin University, Labour and Health Economics (Undergraduate), 2023.
Presentations
2024: Africa Meeting of the Econometric Society.
2023: Australian Health Economics Society Conference; Africa Meeting of the Econometric Society; Western Economic Association International (WEAI) International Conference; Australian Gender Economics Workshop.
2022: The Australasian AID Conference; Australian Development Economics Workshop..
2012: 8th International Conference on Environment, Cultural, Economics and Social Sustainability.
Unobserved Components Model
This function implements the Stock and Watson (2007) unobserved components model with stochastic volatilities. It employs a gamma random variable generator function and can be used to extract the trend of any given univariate time series.
This function takes in the output from the VAR() function (see vars package) and computes the vector autoregression historical decomposition. It is an abridged translation of Cesa-Bianchi's MATLAB code (in the VAR-Toolbox) designed for R.
This function determines the uncertainty (or error) of any mathematical expression containing estimated variables with uncertainties by taking the partial derivatives with respect to each variable multiplied by their uncertainty and added in quadrature.
This code is used to estimate the natural rate of interest using an annually adapted Holston, Laubach and Williams (2017) multi-stage maximum likelihood estimation procedure, where the likelihood function is computed by the Kalman filter.
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Preformatted
i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';