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Enhancing the use of international data by students of economics. Dean Garratt and Stephen Heasell Nottingham Business School 6 th September 2011. Evidence from an EN funded p roject. 8 Case studies: structure and content For various stages of HE Level 1 economics
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Enhancing the use of international data by students of economics Dean Garratt and Stephen Heasell Nottingham Business School 6th September 2011
Evidence from an EN funded project • 8 Case studies: structure and content • For various stages of HE Level 1 economics • From classroom to case study • For active student learning with tutor support
Case Study structure • Data Use • Data Search and Selection • Data Transformation and Interpretation • Review Questions • Summative Assessment task • 6 dual-column pages; tables; charts; few equations; short sentences & paragraphs
Case Study topics • Working with Data (inc international data) on: • Economic Growth • House Prices • Household Debt • Consumption Spending • Government Finances
3 main messages • Use empirical data to retain & deepen engagement with methods of economics • Use student curiosity & ambition to understand their complex economic environment • Towards a coherent blend of learning materials
Dean’s perspective • Adopt Problem-Based Learning (PBL) • Embed concepts, theories and techniques in empirical context • Use of problems, issues, themes to engage students with economics • Role to play as part of student retention, including crucial level 1 • Develop a sense of ‘economics for a purpose’ • Helps ‘unite’ curriculum
Dean’s perspective • Use economic data to enhance deep learning • Historical comparisons • International comparisons • Inductive and deductive • Raise levels of curiosity • Develop research skills
Dean’s perspective • Develop skills associated with data extraction, interpretation and analysis • Databases • National Statistics, AMECO, IMF, OECD • Spreadsheet skills • Data manipulation, descriptive stats, charts
Dean’s perspective • Develop other skills associated with being a professional economist • Skills in briefing and constructing ‘purposeful’ narratives • Apply concepts and ideas to different scenarios or situations
Steve’s perspective • Learn about methods used by economists • Applicability of theoretical ideas & methods embedded in professional pronouncements • Present information as a production function • Appeal to interests in & beyond academia • Clear exposition of comparative complexity
Instrumental & dumbing down? • Yes to the first, if we do it right • Emphatically no to the second, at least not intentionally • A recurring minority comment on our case studies is that they seem challenging for Level 1 students
Ideas addressed in the Case Studies • Economic concepts & theory embedded in data • Interpret data, using economic theory • Use quantitative methods for economic insight: • Nominal and real measures • Stock measures and flow measures • Measures of value & monetary measures of volume
And more ideas… • Specific data-related issues: eg • Choice of data • Seasonally-adjusted/cyclically-adjusted • Reliability & timeliness • Use of proxies • Use of plural sources together • Risk of misleading over-interpretation
Complexity of comparisons • Levels, growth rates & differing growth rates • Rates of change, trends & volatility • Ratios, percentages & proportions • Frequency of data • Longitudinal comparisons, differing data sets
Evidence from an EN funded project • Case studies: structure and content • For advanced Level 1 HE students of economics • From classroom to case study: successes and limitations
Case Study structure • Data Use • Data Search and Selection • Data Transformation and Interpretation • Review Questions • Summative Assessment task • 6 dual-column pages; tables; charts; few equations; short sentences & paragraphs
Case Study topics • Working with Data on… • Economic Growth • House Prices • Household Debt • Consumption Spending • Government Finances
Empirically-led LT for Economics • Empirically-informed LT: • in using economic concepts • in producing economic data • in presenting data for decision makers