John Kay: People, Not Iron Ore: The Limits of Math in Economics (4/5)

John Kay: People, Not Iron Ore: The Limits of Math in Economics (4/5)

Assessment

Interactive Video

Business

University

Hard

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The video discusses the dominance of mathematical skills in economics education and the need for a broader skill set, including humanities and social sciences. It highlights the importance of interdisciplinary learning from fields like anthropology, sociology, and psychology to better understand human behavior. The video also addresses the challenges and misunderstandings that arise when economic models are applied to policy-making without considering the complexities of real-world issues.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a common misconception about the role of mathematics in economics?

Philosophy of science is more important than mathematics in economics.

Mathematics is not useful in economics.

Economic history should be ignored in favor of mathematics.

Mathematics is the only valid form of expression in economics.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important for economists to have skills beyond mathematics?

To ensure they can calculate complex equations.

To better understand and represent real-world issues.

To focus solely on economic history.

To avoid learning about other social sciences.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential risk of focusing only on mathematical models in economics?

Better verbal and literary skills.

Increased interest in philosophy of science.

Loss of connection with real-world human issues.

Improved understanding of economic history.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which fields can provide valuable insights to economists about human behavior?

Engineering and technology.

Physics and chemistry.

Anthropology, sociology, and psychology.

Mathematics and statistics.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the young economist's mistake in the policy-making example?

Ignoring the mathematical model.

Relying solely on the model without understanding the broader context.

Not presenting any model at all.

Focusing too much on anthropology.