Lecture 1 Flashcards

(18 cards)

1
Q

What is econometrics

A

Using stats to:
- Test economic theories
- Estimate the magnitude of economic relationships
- Forecasting
- Policy evaluation

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2
Q

What type of relationships is econometrics. concerned with

A

Causal

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3
Q

What do econometric methods allow us to do with non experimental economic data

A

Draw ceteris paribus conclusions from the observed data

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4
Q

What are the 7 steps of econometric modelling

A
  1. Formulate the question
  2. Develop an economic model
  3. Specify the econometric model
  4. Set out hypotheses that are to be tested
  5. Estimate the econometric model
  6. Conduct the hypothesis tests
  7. Interpret results and draw conclusions
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5
Q

What is the key behind developing an economic model

A
  • Making y as a function of x
  • y= 𝑓(π‘₯_1,π‘₯_2,π‘₯_3,π‘₯_4,…)
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6
Q

How do we acknowledge that there are other factors other than x1,x2,x3

A

By adding an error or disturbance term, πœ‡

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7
Q

Example model form

A

Y= earnings
X1= education, x2= experience, x3= training
x4= innate ability 𝑦=𝑓(π‘₯_1,π‘₯_2,π‘₯_3,π‘₯_4,…)

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8
Q

What do we try to estimate using an econometric model

A

The parameter 𝛽

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9
Q

Example econometric model for Does training in machine maintenance increase machinists’ productivity?

A

Econometric model: 𝑦=𝛽0+𝛽1 π‘₯1+𝛽2 π‘₯2+𝛽3 π‘₯3+πœ‡
where 𝑦 = widgets per hour, π‘₯1 = hours of training, π‘₯2 = years of education, π‘₯3 = years of experience, πœ‡ = error or disturbance term

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10
Q

To answer whether a variable X affects Y, what is the hypothesis to be tested

A

Is 𝛽≠0?

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11
Q

To answer whether a variable x increases Y, what is the hypothesis to be tested

A

Is 𝛽>0?

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12
Q

What are the 4 types of non-experimental data

A
  • Cross sectional data
  • Time series Data
  • Pooled cross sectional data
  • Panel data
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13
Q

What does each row in a Cross sectional dataset refer to

A

An observation

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14
Q

What does each row in a time series data set refer to

A

A time period such as years

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15
Q

Why is chronology important for time series data

A

time periods are not independent

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16
Q

What is pooled cross sectional data and are variables and samples the same in each cross section

A

Two or more similar cross sectional datasets, e ach relating to a different time period
- Variables are the same in each cross section
- Samples are not the same

17
Q

How is panel data different to pooled cross sectional data

A
  • Sample of observations is the same in every time period
18
Q

What does econometric techniques do in summary

A

allow us to find out whether and by how much a change in π‘₯ causes 𝑦 to change even when, potentially, everything else is changing at the same time