Microeconomics · free preview
Models, Data, and Positive versus Normative
Economic models as deliberate simplifications, the cycle of prediction and testing that keeps them honest, and the line between testable claims and value judgments.
1. Models are deliberate simplifications
Models are deliberate simplifications
2. The cycle that keeps models honest
The cycle that keeps models honest
3. Correlation is not causation
Correlation is not causation
4. Positive versus normative
Positive versus normative
5. Positive or normative
Consider four statements. (1) Rent ceilings reduce the supply of new housing. (2) Rent ceilings should be used to protect poor tenants. (3) A higher gasoline tax lowers gasoline consumption. (4) Gasoline taxes are unfair to rural drivers. Which pairing of labels is correct?
6. The confound in a correlation
A city notices that neighborhoods with more streetlights have less street crime and concludes that adding lights caused the drop. What is the strongest reason to doubt the causal reading?
7. Using a model to predict
A simple weekly market model predicts the price of a bushel of apples as price = 3 + 2 × (rainy days that week), with the result in dollars. Using the model, compute the predicted price in dollars for a week with 10 rainy days and write the number.
8. Classifying the statements
Consider two statements. Statement A, a tax on sugary drinks raises their price. Statement B, sugary drinks should be taxed. Which classification is right?
9. Police and crime, which way does the arrow run
Cities with more police per capita report more crime per capita. A council member concludes police cause crime. What is the strongest critique?
10. The apple price model
A market model predicts price equals 3 plus 2 times the number of rainy days in the week. Compute the predicted price in dollars for a week with 5 rainy days, and write the number.
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