Lecture 5.3: Empirical policy evaluation Flashcards

1
Q

Problems with randomized trials

A
  1. external validity
  2. attrition
  3. other implementation issues
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2
Q

Identification problem

A

which series is causing another?
A <—> B (or maybe even C affecting both)

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3
Q

Observational data

A

data generated by individual behaviour observed in the real world, not of deliberately designed experience

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4
Q

Bias

A

Any source of difference between treatment and control group that is correlated but not due to the treatment

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5
Q

Empirical public economics

A

Use of data and statistical methods to measure the impact of government policy on individuals, firms and markets

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6
Q

Causality

A

Two economic variables where one moves because of the movement of the other

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7
Q

Correlation

A

Two economic variables move together

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8
Q

Quasi/natural experiments

A

Changes in economic environment that create similar treatment and testgroup for studying the effect of that climate change

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9
Q

Randomized trial

A

The ideal type of research design to test causality: group of individuals to be studied is randomly divided into a treatment group and a control group

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10
Q

Cross-sectional (regression) analysis

A

Statistical analysis of the relationship between two or more variables exhibited by many individuals at one point in time

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11
Q

Time series analysis

A

Analysis of the co-movement of two variables over time

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