内容正文:
TOOLS OF POSITIVE ANALYSIS
Chapter 2
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Public Finance and Positive Analysis
One goal of Public Finance is to estimate how government policy affects individuals’ behavior.
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The Role of Theory
Economic models
Provide frameworks for thinking about the factors that might influence behavior.
Generate hypotheses whose validity can be assessed through empirical work.
Virtue of simplicity: reduces a problem to its essentials.
Empirical analysis: Analysis based on observation and experience.
Used to test hypotheses.
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Causation vs. Correlation
Conditions required for government action X to cause societal effect Y rather than just correlate (move together) with effect Y.
X must precede Y
X and Y must be correlated
Other explanations for any observed correlation must be eliminated
The importance of the distinction for policy.
Example: There is a positive correlation between being married and wages…Does that mean government should enact a policy encouraging marriage as a way of increasing wages?
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Empirical Work:
Experimental Studies
Experimental (or randomized) study: subjects are randomly assigned to either a treatment group or control group.
Treatment Group: Group of people who are subject to the intervention being studied.
Control Group: Comparison group of people who are not subject to the intervention being studied.
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Empirical Work:
Experimental Studies
Randomization improves the chances that the control and treatment groups have similar characteristics
Focus can then be on possible causation between treatment and outcome.
Randomization has a large potential to eliminate biased estimates.
Biased estimate: conflates the true causal impact with the impact of outside factors.
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Pitfalls of Experimental Studies
Ethical issues
Technical problems
Response bias
Impact of limited duration of experiment
Generalization of results to other populations, settings, and related treatments
Black box aspect of experiments
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Empirical Work:
Observational Stu