Konrad is highly skilled in numerical modelling, and translating the results of this into useful and valuable insights.
Konrad started at BERL as a Research Economist, before advancing to Econometrician. His areas of expertise are modelling and describing economic phenomena, and maintaining BERL’s Computable General Equilibrium (CGE) model.
At BERL Konrad has gained much expertise and passion for measuring social impacts and new ways of understanding how to communicate value.
Formal econometric modelling skills including different methods of regression analysis, CGE modelling, as well as methods taken from other areas of data science
Impact mapping and Social Return on Investment (SROI) methodology, including stakeholder engagement and SROI standards
Communicating insights from complex modelling tailored to the audience, able to distil the findings into meaningful narrative
Innovative solution finding skills, comfortable taking parts of multiple different methodologies and combining them in a useful way.
His experience includes:
Open Polytechnic of New Zealand (OPNZ) Key Performance Indicators and Students to show how OPNZ impacts labour market outcomes
Social renting to housing independence, demonstrating how housing tenure affects multiple social, health, and economic outcomes
Earnings and wealth accumulation from following different pathways – regression (using a Support Vector Machine approach) modelling analysis/forecast and construction of an accounting model.
Outside BERL, Konrad has a strong interest in decentralised systems and crypto. He contributes economic insights to Bitfwd, and also enjoys video games.