Question 1

What characterizes time-series cross-section data?

Accepted Answer

A)  When we have a large number of units recorded at few time points 
B)  When we have a small or medium sized number of units recorded at many time points 
C)  When we have a large number of units recorded at many time points 
D)  When we have a small or medium sized number of units recorded at few time points 
A)  When we have a large number of units recorded at few time points 
B)  When we have a small or medium sized number of units recorded at many time points 
C)  When we have a large number of units recorded at many time points 
D)  When we have a small or medium sized number of units recorded at few time points B

Question 2

Random effects is a weighted average between?

Accepted Answer

A)  Pooled OLS and fixed effects 
B)  Pooled OLS and between effects 
C)  Between effects and fixed effects 
D)  Fixed effects and time-fixed effects 
A)  Pooled OLS and fixed effects 
B)  Pooled OLS and between effects 
C)  Between effects and fixed effects 
D)  Fixed effects and time-fixed effects C

Question 3

What does it mean when we say that our panel is balanced?

Accepted Answer

A)  When we have more time periods than units 
B)  When we have a large sample of units 
C)  When we have an equal number of time periods per unit 
D)  When we have an unequal number of time periods per unit 
A)  When we have more time periods than units 
B)  When we have a large sample of units 
C)  When we have an equal number of time periods per unit 
D)  When we have an unequal number of time periods per unit C

Question 4

What are panel data?

Accepted Answer

A)  Data containing one unit measured at different time points 
B)  Data where each unit is measured at more than one time point 
C)  Data containing skewed variable distributions 
D)  Data measured at one point in time 
A)  Data containing one unit measured at different time points 
B)  Data where each unit is measured at more than one time point 
C)  Data containing skewed variable distributions 
D)  Data measured at one point in time

Question 5

What does lagging variables mean?

Accepted Answer

A)  We use previous values of a variable 
B)  We use future values of a variable 
C)  We set all values at its mean across time 
D)  We log-transform the variable 
A)  We use previous values of a variable 
B)  We use future values of a variable 
C)  We set all values at its mean across time 
D)  We log-transform the variable

Question 6

What is the name of the statistical test that can help us determine whether to choose a fixed effects or a random effects model?

Accepted Answer

A)  Hausman test 
B)  z-test 
C)  Chi-squared test 
D)  Link-Wallace test 
A)  Hausman test 
B)  z-test 
C)  Chi-squared test 
D)  Link-Wallace test

Question 7

Which model takes into account the time-varying independent variables, the time-invariant independent variables and the unmeasured time-invariant variables?

Accepted Answer

A)  Pooled OLS 
B)  Between effects 
C)  Fixed effects 
D)  Random effects 
A)  Pooled OLS 
B)  Between effects 
C)  Fixed effects 
D)  Random effects

Question 8

How is the time-invariant independent variables and the unmeasured time-invariant variables captured in a fixed effects model?

Accepted Answer

A)  By running an ordinary least squares regression 
B)  By running an ordinary least squares regression with robust standard errors 
C)  By taking the mean of each variable for each unit across time, and running a regression on the collapsed dataset of means 
D)  By including unit dummy variables 
A)  By running an ordinary least squares regression 
B)  By running an ordinary least squares regression with robust standard errors 
C)  By taking the mean of each variable for each unit across time, and running a regression on the collapsed dataset of means 
D)  By including unit dummy variables

Question 9

What does non-stationarity mean?

Accepted Answer

A)  Parameters of our data (such as the mean and variance) do not change over time 
B)  Parameters of our data (such as the mean and variance) do change over time 
C)  When time-series data are not influenced by their historical values 
D)  When time-series data are influenced by their historical values 
A)  Parameters of our data (such as the mean and variance) do not change over time 
B)  Parameters of our data (such as the mean and variance) do change over time 
C)  When time-series data are not influenced by their historical values 
D)  When time-series data are influenced by their historical values

What characterizes time-series cross-section data?

Random effects is a weighted average between?

What does it mean when we say that our panel is balanced?

What are panel data?

What does lagging variables mean?

What is the name of the statistical test that can help us determine whether to choose a fixed effects or a random effects model?

Which model takes into account the time-varying independent variables, the time-invariant independent variables and the unmeasured time-invariant variables?

How is the time-invariant independent variables and the unmeasured time-invariant variables captured in a fixed effects model?

What does non-stationarity mean?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Multiple Regression

Dummy-Variable Regression

Interaction/Moderation Effects Using Regression

Linear Regression Assumptions and Diagnostics

Logistic Regression

Survival Analysis

Multilevel Analysis

Time-Series Analysis

Exploratory Factor Analysis

Structural Equation Modelling and Confirmatory Factor Analysis

Advanced Statistical Techniques

Programming and Dynamic Reporting Using STATA

Filters

Exam 11: Panel Data Analysis

What characterizes time-series cross-section data?

Random effects is a weighted average between?

What does it mean when we say that our panel is balanced?

What are panel data?

What does lagging variables mean?

What is the name of the statistical test that can help us determine whether to choose a fixed effects or a random effects model?

Which model takes into account the time-varying independent variables, the time-invariant independent variables and the unmeasured time-invariant variables?

How is the time-invariant independent variables and the unmeasured time-invariant variables captured in a fixed effects model?

What does non-stationarity mean?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Multiple Regression

Dummy-Variable Regression

Interaction/Moderation Effects Using Regression

Linear Regression Assumptions and Diagnostics

Logistic Regression

Survival Analysis

Multilevel Analysis

Time-Series Analysis

Exploratory Factor Analysis

Structural Equation Modelling and Confirmatory Factor Analysis

Advanced Statistical Techniques

Programming and Dynamic Reporting Using STATA

Filters