Ms Moana Rarere
Qualifications: MSocSc – First Class Honours (Demography), BSocSc – First Class Honours (Social Policy), BMS (Economics)
My research interests include: iwi/Māori demography, iwi/Māori identity and identification, Māori diaspora, Census classification practices, ethnic counting and classification, social outcomes and policy implications of demographic change, population projections, cohort analyses, social welfare/income support reforms, and family/whānau formation and demographics.
My areas of expertise include: iwi identification in the NZ Census, population projections, demographic profiling.
Moana is an early career demographer and researcher, and specialises in Māori and Indigenous Population Research, with a keen interest and knowledge in iwi (tribal) demography. She is the Programme Lead/Principal Investigator of He Pā Harakeke: Thriving Regions North Island, a research programme under the National Science Challenge - Building Better Homes, Towns, and Cities. She is also nearing the completion of her PhD (Social Sciences), which explores the connection between mana wahine perspectives of family formation, and birth parity and timing.
She has specialist data analytical skills and knowledge of Census (particularly iwi data), and administrative datasets, and has contributed these skills to various research and consultancy projects involving population projections and demographic profiling.
Her association with NIDEA began just prior to its inauguration in November 2010, having started in 2009 as a post-graduate with Waikato University's Societies and Culture department (School of Social Sciences), and eventually enrolling in two papers with NIDEA's predecessor, the Population Studies Centre (PSC) in early 2010. She then enrolled with NIDEA to complete her Master's in Demography in October 2012. Her thesis focused on examining iwi (tribal) population growth in the New Zealand Census between 1991 and 2006, which underlined the significance and impact of 'ethnic mobility' (changing ethnic identification) on population change.
Her career experience includes business management and administration (accounting, finance, and human resource management) in central Government, the tertiary education sector and the tourism industry.
Moana belongs to the iwi and hapū of Rongomaiwahine, Ngāti Kahungunu, Tūhoe, Ngāti Whare, Te Aitanga-a-Māhaki, Whakatōhea, and Te Upokorehe, with many more connections around the motu (land). She was born in Waihōpai (Invercargill), and has fond memories of her formative years in Murihiku (Southland) - especially eating pāua! However, her whānau eventually settled and grew up in Kawerau, Eastern Bay of Plenty. She has a love for a range of outdoor activities, and especially feels revitalised when she reconnects with the whenua (land) and her whānau.
Relevant Publications, Research and Presentations
Jackson, N.O., Kukutai, T., and Rarere, M. (2012). Experimental register-based projections for Maungaharuru-Tangitū Incorporated. Hamilton, New Zealand: University of Waikato, National Institute of Demographic and Economic Analysis.
Jackson, N.O., Rarere, M., and Pawar, S. (2013). Bay of Plenty Region and its Territorial Authorities: Demographic profile 1986-2031 (New Zealand Regional Demographic Profiles 1986-2031, no. 11). Hamilton, New Zealand: University of Waikato, National Institute of Demographic and Economic Analysis.
Jackson, N.O., Rarere, M., and Pawar, S. (2013). Key social-demographic considerations for Southwell School catchment area. Hamilton, New Zealand: University of Waikato, National Institute of Demographic and Economic Analysis.
Jackson, N.O. and Rarere, M. (forthcoming). Western Bay of Plenty District: Demographic profile 1986-2031 (New Zealand Regional Demographic Profiles 1986-2031, no. 10). Hamilton, New Zealand: University of Waikato, National Institute of Demographic and Economic Analysis.
Kukutai, T. and Rarere, M. (2013). Tracking patterns of iwi identification in the New Zealand Census. New Zealand Population Review, 39, 1-24
Rarere, M. (2012). The determinants of tribal population growth in the New Zealand Census (Master's thesis, University of Waikato, Hamilton, New Zealand).
Retrieved from http://hdl.handle.net/10289/7571.
Rarere, M. (2012, November). Beyond te iwi Māori: Understanding patterns of tribal identification in the New Zealand Census, 1991-2006. Paper presented at the Māori Association of Social Science Conference, Christchurch, New Zealand.
Rarere, M. (2013, June). Beyond te iwi Māori: Understanding patterns of tribal identification in the New Zealand Census, 1991-2006. Paper presented at the Population Association of New Zealand Conference, Wellington, New Zealand.
Oetzel, J., Rarere, M., Wihapi, R., Manuel, C., & Tapsell, J. (2020). A case study of using the He Pikinga Waiora Implementation Framework: Challenges and successes in implementing a twelve-week lifestyle intervention to reduce weight in Māori men at risk of diabetes, cardiovascular disease and obesity. International Journal for Equity in Health, 19(1), 103. doi:10.1186/s12939-020-01222-3
Masters-Awatere, B., Rarere, M., Gilbert, R., Manuel, C., & Scott, N. (2019). He AHA te mea nui o te ao ? He tāngata !. Australian Journal of Primary Health, 25(5), 435-442. doi:10.1071/PY19027
Rarere, M., Oetzel, J., Masters-Awatere, B., Scott, N., Wihapi, R., Manuel, C., & Gilbert, R. (2019). The He Pikinga Waiora process evaluation tool guiding implementation of chronic condition interventions in Māori and other Indigenous communities. In International Journal of Integrated Care Vol. 19 (pp. 448). Ubiquity Press, Ltd.. doi:10.5334/ijic.s3448
Rarere, M., Oetzel, J., Masters-Awatere, B., Scott, N., Wihapi, R., Manuel, C., & Gilbert, R. (2019). He Pikinga Waiora evaluation tool: Guiding the implementation of chronic condition interventions in Māori and other Indigenous communities. In 19th International Conference on Integrated Care. Conference held at San Sebastian, Basque Country, Spain.
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