| Children in the public benefit system at risk of maltreatment: Identification via predictive modeling R Vaithianathan, T Maloney, E Putnam-Hornstein, N Jiang American journal of preventive medicine 45 (3), 354-359, 2013 | 139 | 2013 |
| Developing predictive models to support child maltreatment hotline screening decisions: Allegheny County methodology and implementation R Vaithianathan, E Putnam-Hornstein, N Jiang, P Nand, T Maloney Center for Social data Analytics, 2017 | 77 | 2017 |
| Black–White differences in child maltreatment reports and foster care placements: A statistical decomposition using linked administrative data T Maloney, N Jiang, E Putnam-Hornstein, E Dalton, R Vaithianathan Maternal and child health journal 21, 414-420, 2017 | 68 | 2017 |
| Technical efficiency and technological gap of New Zealand dairy farms: a stochastic meta-frontier model N Jiang, B Sharp Journal of Productivity Analysis 44, 39-49, 2015 | 67 | 2015 |
| New Zealand's emissions trading scheme N Jiang, B Sharp, M Sheng New Zealand economic papers 43 (1), 69-79, 2009 | 62 | 2009 |
| Cost Efficiency of Dairy Farming in New Zealand: a stochastic frontier analysis N Jiang, B Sharp Agricultural and Resource Economics Review 43 (3), 406-418, 2014 | 54 | 2014 |
| Vulnerable children: Can administrative data be used to identify children at risk of adverse outcomes R Vaithianathan, T Maloney, N Jiang, I De Haan, C Dale, ... Report Prepared for the Ministry of Social Development. Auckland: Centre for …, 2012 | 51 | 2012 |
| Efficiency of New Zealand’s district health boards at providing hospital services: A stochastic frontier analysis N Jiang, A Andrews Journal of Productivity Analysis 53, 53-68, 2020 | 22 | 2020 |
| Factor-analysis-based directional distance function: The case of New Zealand hospitals Z Deng, N Jiang, R Pang Omega 98, 102111, 2021 | 15 | 2021 |
| A Model for Predicting Readmission Risk in New Zealand. R Vaithianathan, N Jiang, T Ashton Economics Working Paper Series, 2012 | 14 | 2012 |
| Residential movement within New Zealand: Quantifying and characterising the transient population N Jiang, G Pacheco, K Dasgupta Superu, 2018 | 9 | 2018 |
| Misallocation and price distortions: A revenue decomposition of medical service providers in China Z Deng, N Jiang, S Song, R Pang China Economic Review 65, 101574, 2021 | 8 | 2021 |
| Sustainable development in China? A nonparametric decomposition of economic growth Z Deng, S Song, N Jiang, R Pang China Economic Review 81, 102041, 2023 | 7 | 2023 |
| Impact of School-based Support on Educational Outcomes of Teen-mothers: Evidence from New Zealand's" teen Parent Units" R Vaithianathan, T Maloney, M Wilson, A Staneva, N Jiang Ministry of Social Development, 2017 | 5 | 2017 |
| Vulnerable children: Can administrative data be used to identify children at risk of adverse outcomes? T Dare, T Maloney, N Jiang, I De Haan, M Dale, E Putnam-Horstein Ministry of Social Development, 2012 | 5 | 2012 |
| The impact of school-based support on educational outcomes of teen-mothers: evidence from linked administrative data R Vaithianathan, T Maloney, M Wilson, A Staneva, N Jiang New Zealand Economic Papers 55 (3), 245-262, 2021 | 4 | 2021 |
| Understanding the transient population: insights from linked administrative data N Jiang, G Pacheco, K Dasgupta Journal of Population Research 36 (2), 111-136, 2019 | 4 | 2019 |
| The impact of social workers in schools: A preliminary investigation using linked administrative data N Jiang, T Maloney, A Staneva, M Wilson, R Vaithianathan Ministry of Social Development; Auckland University of Technology, 2018 | 4 | 2018 |
| Demand in New Zealand hospitals: expect the unexpected? N Jiang, G Pacheco Applied Economics 46 (36), 4475-4489, 2014 | 2 | 2014 |
| Impact of School-Based Support on Educational Outcomes of Teen-Mothers: Evidence From Linked Administrative Data T Maloney, R Vaithianathan, M Wilson, A Staneva, N Jiang Taylor & Francis, 2017 | | 2017 |
