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  • About the Economic Futures Hub
  • Unit 1: Economics of the Market
  • Unit 2: UK Economic Activity
  • Unit 3: Global Economic Activity
  • Data for Applied Economists
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Created by Economic Futures. We are hosted by the FAI. Contact us at economicfutures@strath.ac.uk for feedback or collaboration.

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Data Skills for Applied Economists

Data Skills for Applied Economists

Data Skills for Applied Economists

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This section seeks to increase student’s confidence in sourcing, handling, visualising and analysing economic data for their SQA Higher Economics Exam.

Sourcing Economic Data

Why is correctly sourcing data important?

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In the SQA Higher Economics Assignment, 3 marks are available for explanations of suitability of research sources. Quality data is crucial to make your arguments credible and convincing.

How can we assess suitability of research sources?

  • Is it timely and up-to-date?
  • Is it accurate?
  • Is it complete?
  • Is it concise?
  • Is it objective/unbiased?
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NOMIS Step-by-Step Example
  1. Visit NOMIS
  2. Select ‘Query Data’
  3. Select ‘Popular Datasets’
    1. These datasets are survey based, which means that they provide an estimation of the UK’s economic activity based on a small selection.
  4. Select ‘Annual Population Survey’
    1. Select Geography: All countries
    2. Select Date: 2005-2022 (12 months to December)
    3. Select Variable: Unemployment Rate 16-64
  5. Download your data
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Scottish Government Step-by-Step Example
  1. Visit Scottish Government Economy Statistics
  2. Choose ‘About GDP’
  3. Choose ‘GDP Quarterly National Accounts for 2022 Quarter 2’
  4. Download ‘Second Estimate of GDP in volume terms by industry’

Handling Economic Data

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When handling economic data, ask yourself:
  • What kind of graph do I need?
  • Add Chart Elements: Title, Axes, Axis Titles and Annotations.
  • Is the scale correct?
  • Use colours to draw attention to key data
  • What conclusions can be drawn? Is this clear?

Time-series

Cross-sectional

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Download the excel spreadsheet used in the above videos here:
Data For Applied Economists - Time Series, Cross Section.xlsx26.8KB

Indexing Data

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Indexing allows us to set variables to the same starting point and compare their deviation from this point. This is useful when dealing with panel data.
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Download the excel spreadsheet used above here:
Data for Economists Indexing.xlsx30.8KB

Data as a % of GDP

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Economic statistics often refer to variables as a % of GDP. This allows us to view data in proportion to the size of the economy. For example, as we saw in the BudgetBudget section, a countries debt level is often measured as a % of GDP. This is because rising debt levels over the long run are manageable as long as the economy is also growing.
  • This means that debt levels could rise consistently, but for as long as GDP increases by the same proportion, the debt-to-GDP ratio would remain constant.
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Download the excel spreadsheet used above here:
GlobalDebtDatabase.xlsx2203.6KB

Interactive Graphs

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This resource uses interactive graphs made on Flourish. Try out their web app for yourself and explore different ways to tell a story with your data.
Flourish | Data Visualization & Storytelling

Beautiful, easy data visualization and storytelling

flourish.studio

Flourish | Data Visualization & Storytelling
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Test out the graph from the video above: