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Equips students with essential statistical skills and business analytics tools necessary for data analysis in economics, finance, marketing, and other related areas. Develops proficiency in applying statistical techniques to real-world business scenarios and decision-making challenges and using software for reproducible analyses.

Equips students with essential statistical skills and business analytics tools necessary for data analysis in economics, finance, marketing, and other related areas. Develops proficiency in applying statistical techniques to real-world business scenarios and decision-making challenges and using software for reproducible analyses.

Empirical analysis in economics. Focuses on harnessing the power of data and regression techniques to estimate relationships and test hypotheses based on economic models. Emphasises the identification of causal effects critical to policy analysis, decision-making and strategic planning. Covers applications of econometrics in a variety of areas using a statistical computer package. <i>Prerequisite: 15 points from ECON 152, MATHS 108, 130, STATS 101, 102, 108, 125, 191, or at least 18 credits in Mathematics at NCEA Level 3 including at least 9 credits at merit or excellence, or B in CIE A2 Mathematics, or 5 out of 7 in IB Mathematics: Analysis and Approaches (SL or HL)</i>

Empirical analysis in economics. Focuses on harnessing the power of data and regression techniques to estimate relationships and test hypotheses based on economic models. Emphasises the identification of causal effects critical to policy analysis, decision-making and strategic planning. Covers applications of econometrics in a variety of areas using a statistical computer package. <i>Prerequisite: 15 points from ECON 152, MATHS 108, 130, STATS 101, 102, 108, 125, 191, or at least 18 credits in Mathematics at NCEA Level 3 including at least 9 credits at merit or excellence, or B in CIE A2 Mathematics, or 5 out of 7 in IB Mathematics: Analysis and Approaches (SL or HL)</i>

Empirical analysis in economics. Focuses on harnessing the power of data and regression techniques to estimate relationships and test hypotheses based on economic models. Emphasises the identification of causal effects critical to policy analysis, decision-making and strategic planning. Covers applications of econometrics in a variety of areas using a statistical computer package. <i>Prerequisite: 15 points from ECON 152, MATHS 108, 130, STATS 101, 102, 108, 125, 191, or at least 18 credits in Mathematics at NCEA Level 3 including at least 9 credits at merit or excellence, or B in CIE A2 Mathematics, or 5 out of 7 in IB Mathematics: Analysis and Approaches (SL or HL)</i>

Empirical analysis in economics. Focuses on harnessing the power of data and regression techniques to estimate relationships and test hypotheses based on economic models. Emphasises the identification of causal effects critical to policy analysis, decision-making and strategic planning. Covers applications of econometrics in a variety of areas using a statistical computer package. <i>Prerequisite: 15 points from ECON 152, MATHS 108, 130, 150, 153, STATS 101, 102, 108, 125, 191, or at least 18 credits in Mathematics at NCEA Level 3 including at least 9 credits at merit or excellence, or B in CIE A2 Mathematics, or 5 out of 7 in IB Mathematics: Analysis and Approaches (SL or HL)</i>

Empirical analysis in economics. Focuses on harnessing the power of data and regression techniques to estimate relationships and test hypotheses based on economic models. Emphasises the identification of causal effects critical to policy analysis, decision-making and strategic planning. Covers applications of econometrics in a variety of areas using a statistical computer package. <i>Prerequisite: 15 points from ECON 152, MATHS 108, 130, 150, 153, STATS 101, 102, 108, 125, 191, or at least 18 credits in Mathematics at NCEA Level 3 including at least 9 credits at merit or excellence, or B in CIE A2 Mathematics, or 5 out of 7 in IB Mathematics: Analysis and Approaches (SL or HL)</i>

Empirical analysis in economics. Focuses on harnessing the power of data and regression techniques to estimate relationships and test hypotheses based on economic models. Emphasises the identification of causal effects critical to policy analysis, decision-making and strategic planning. Covers applications of econometrics in a variety of areas using a statistical computer package. <i>Prerequisite: 15 points from ECON 152, MATHS 108, 130, 150, 153, STATS 101, 102, 108, 125, 191, or at least 18 credits in Mathematics at NCEA Level 3 including at least 9 credits at merit or excellence, or B in CIE A2 Mathematics, or 5 out of 7 in IB Mathematics: Analysis and Approaches (SL or HL)</i>

Empirical analysis in economics. Focuses on harnessing the power of data and regression techniques to estimate relationships and test hypotheses based on economic models. Emphasises the identification of causal effects critical to policy analysis, decision-making and strategic planning. Covers applications of econometrics in a variety of areas using a statistical computer package. <i>Prerequisite: 15 points from ECON 152, MATHS 108, 130, 150, 153, STATS 101, 102, 108, 125, 191, or at least 18 credits in Mathematics at NCEA Level 3 including at least 9 credits at merit or excellence, or B in CIE A2 Mathematics, or 5 out of 7 in IB Mathematics: Analysis and Approaches (SL or HL)</i>

An introduction to model building and empirical research methods in economics. Emphasises the use and interpretation of single equation regression techniques in formulating and testing microeconomic and macroeconomic hypotheses. Cross-section and time series modelling, as well as qualitative choice models will be covered. There will be examples of the uses of econometrics in a variety of areas through statistical analysis, problem solving and econometric estimation using a statistical computer package.

An introduction to model building and empirical research methods in economics. Emphasises the use and interpretation of single equation regression techniques in formulating and testing microeconomic and macroeconomic hypotheses. Cross-section and time series modelling, as well as qualitative choice models will be covered. There will be examples of the uses of econometrics in a variety of areas through statistical analysis, problem solving and econometric estimation using a statistical computer package.

Empirical analysis in economics. Focuses on harnessing the power of data and regression techniques to estimate relationships and test hypotheses based on economic models. Emphasises the identification of causal effects critical to policy analysis, decision-making and strategic planning. Covers applications of econometrics in a variety of areas using a statistical computer package. <i>Prerequisite: 15 points from ECON 152, MATHS 108, 130, STATS 101, 102, 108, 125, 191, or at least 18 credits in Mathematics at NCEA Level 3 including at least 9 credits at merit or excellence, or B in CIE A2 Mathematics, or 5 out of 7 in IB Mathematics: Analysis and Approaches (SL or HL)</i>