| Some models for stochastic frontiers with endogeneity WE Griffiths, G Hajargasht Journal of Econometrics 190 (2), 341-348, 2016 | 81 | 2016 |
| Inference for income distributions using grouped data G Hajargasht, WE Griffiths, J Brice, DSP Rao, D Chotikapanich Journal of Business & Economic Statistics 30 (4), 563-575, 2012 | 66 | 2012 |
| A dual measure of economies of scope G Hajargasht, T Coelli, DSP Rao Economics Letters 100 (2), 185-188, 2008 | 54 | 2008 |
| Pareto–lognormal distributions: Inequality, poverty, and estimation from grouped income data G Hajargasht, WE Griffiths Economic Modelling 33, 593-604, 2013 | 53 | 2013 |
| Using the GB2 income distribution D Chotikapanich, WE Griffiths, G Hajargasht, W Karunarathne, DSP Rao Econometrics 6 (2), 21, 2018 | 47 | 2018 |
| Stochastic approach to computation of purchasing power parities in the International Comparison Program (ICP) DSP Rao, G Hajargasht Journal of Econometrics 191 (2), 414-425, 2016 | 45 | 2016 |
| Stochastic approach to index numbers for multilateral price comparisons and their standard errors G Hajargasht, DSP Rao Review of Income and Wealth 56, S32-S58, 2010 | 35 | 2010 |
| Stochastic frontiers with a Rayleigh distribution G Hajargasht Journal of Productivity Analysis, 2015 | 24 | 2015 |
| Econometric estimation of an input distance function in a system of equations T Coelli, G Hajargasht, CAK Lovell School of Ecoomics, University of Queensland, 2008 | 20 | 2008 |
| Inequality and poverty in Africa: Regional updates and estimation of a panel of income distributions D Chotikapanich, G Hajargasht, WE Griffiths, C Xia IARIW 33rd General Conference, Rotterdam, 2014 | 13 | 2014 |
| Minimum distance estimation of parametric Lorenz curves based on grouped data G Hajargasht, WE Griffiths Econometric Reviews 39 (4), 344-361, 2020 | 10 | 2020 |
| On GMM estimation of distributions from grouped data W Griffiths, G Hajargasht Economics Letters 126, 122-126, 2015 | 10 | 2015 |
| Estimation and testing of stochastic frontier models using variational Bayes G Hajargasht, WE Griffiths Journal of Productivity Analysis 50, 1-24, 2018 | 9 | 2018 |
| Accurate computation of marginal data densities using variational Bayes G Hajargasht, T Woźniak arXiv preprint arXiv:1805.10036, 2018 | 9 | 2018 |
| The choice between renewables and non-renewables: Evidence from electricity generation in 29 countries J Nguyen, A Valadkhani, G Hajargasht The Energy Journal 42 (6), 49-68, 2021 | 8 | 2021 |
| GMM estimation of mixtures from grouped data: an application to income distributions WE Griffiths, G Hajargasht Department of Economics-Working Papers Series 1148, 2012 | 8 | 2012 |
| Multilateral index number systems for international price comparisons: properties, existence and uniqueness G Hajargasht, DSP Rao Journal of Mathematical Economics 83, 36-47, 2019 | 7 | 2019 |
| Variational Bayes inference for large vector autoregressions G Hajargasht, T Wozniak Manuscript, 2018 | 7 | 2018 |
| Spatial chaining as a way of improving international comparisons of prices and real incomes RJ Hill, DSP Rao, S Shankar, R Hajargasht Meeting on the International Comparisons of Income, Prices and Production …, 2017 | 7 | 2017 |
| Spatial Chaining in International Comparisons of Prices and Real Incomes G Hajargasht, RSS Hill, DSP Rao, S Shankar Mimeographed. Available at: https://thedocs. worldbank. org/en/doc …, 2017 | 6 | 2017 |
william GriffithsUniversity of MelbourneVerified email at unimelb.edu.au