Research Project Flashcards

1
Q

Research enterprise

A

Theoretical research - Empirical research - Qualitative/Quantitative

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2
Q

Core elements of empirical economic research:

A

Validity, Replicability and Contribution

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3
Q

Validity of empirical research

A

1) Construct validity: Is my measure right?
2) Internal validity: Is my comparison/conclusion correct for the sample?
3) External validity: Does my conclusion hold for other populations or settings?

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4
Q

Replicability of empirical research

A

1) Data need to be accessible (store and do not change data)
2) Results need to be replicable ( create a do-file)

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5
Q

Contribution to empirical research

A

Empirical economic research aims at either directly testing theories, or measuring relationships to feed theory. The scientific method or research enterprise

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6
Q

Stages to empirical research

A
  1. Posting the research question
  2. Finding the relevant data
  3. Adapting the data to the correct format
  4. Analysing the data
  5. Writing conclusions in a paper
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7
Q

Types of data

A

Observational and Experimental

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8
Q

Dummy variables

A

Values of 0 or 1 only

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9
Q

crwork.do

A

From raw data to work data

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10
Q

analysis.do

A

From work data to tables (descriptives)

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11
Q

graphs.do

A

From work data to graphs

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12
Q

Average Treatment Effect ATE

A

E(Yi(1)) - E(Yi(0)) = ATE = m1 - m2

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13
Q

Sampling uncertainty or Sampling complication

A

Practical: we can not sample every person
Fundamental: the counterfactual problem - you get JSA or you don’t

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14
Q

Random assignment

A

All individuals have an equal chance to get JSA or not

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15
Q

Random sampling

A

All individuals have an equal chance to appear in the sample

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16
Q

The central limit theorem

A

Y0 - All positive data for Y0 / total number of data for Y0

Y1 - All positive data for Y1 / total number of data for Y1

17
Q

Hypothesis testing

A

Using the central limit theorem to deal with sampling uncertainty
T-test = (y0 - m0)/SE(y0)
SE = SD(y0)/n^0.5

18
Q

The 95% confidence interval

A

[y0 - 1.96SE(y0) ; y0 + 1.96SE(y0)]

19
Q

Comparison, Testing the difference of the sample means (m0 =/= m1)

A

T-stat = y1-y0-(m1-m0)/SE(y1-y0)

SE(y1-y0)=(SE(y1)^2 + SE(y0)^2)^0.5

20
Q

Mean comparison T-stat example, 95% confidence interval

A

What hypothesises values of m1-m0 would be rejected by the data?
[ATE - 1.96SE(Y1-Y0) ; ATE + 1.96(Y1-Y0)]