Question 1

First-differenced estimation is ideal for obtaining causal effects of explanatory variables that are constant over time.

Accepted Answer

A) True 
 B)False

Question 2

A data set is a balanced panel if it _____.

Accepted Answer

A) consists of a sample of individuals, households, firms, cities, states, countries, or a variety of other units, taken at a given point in time 
B) consists of observations on a variable or several variables over time 
C) consists of data for each cross sectional units over the same time period 
D) consists of time-demeaned data for different cross sectional units 
A) consists of a sample of individuals, households, firms, cities, states, countries, or a variety of other units, taken at a given point in time 
B) consists of observations on a variable or several variables over time 
C) consists of data for each cross sectional units over the same time period 
D) consists of time-demeaned data for different cross sectional units

Question 3

The assumption of "strict exogeneity" in a regression model means that _____.

Accepted Answer

A) the dependent variable is binary 
B) all explanatory variables change over time 
C) the model does not include a lagged dependent variable as a regressor 
D) the model includes all relevant explanatory variables 
A) the dependent variable is binary 
B) all explanatory variables change over time 
C) the model does not include a lagged dependent variable as a regressor 
D) the model includes all relevant explanatory variables

Question 4

First-differenced estimation in a panel data analysis is subject to serious biases if _____.

Accepted Answer

A) key explanatory variables vary significantly over time 
B) the explanatory variables do not change by the same unit in each time period 
C) one or more of the explanatory variables are measured incorrectly 
D) the regression model exhibits homoscedasticity 
A) key explanatory variables vary significantly over time 
B) the explanatory variables do not change by the same unit in each time period 
C) one or more of the explanatory variables are measured incorrectly 
D) the regression model exhibits homoscedasticity

Question 5

Which of the following is a reason for using independently pooled cross sections?

Accepted Answer

A) To obtain data on different cross sectional units 
B) To increase the sample size 
C) To select a sample based on the dependent variable 
D) To select a sample based on the independent variable 
A) To obtain data on different cross sectional units 
B) To increase the sample size 
C) To select a sample based on the dependent variable 
D) To select a sample based on the independent variable

Question 6

In a natural experiment, the same cross-sectional units appear in each time period.

Accepted Answer

A) True 
 B)False

Question 7

If a random sample is drawn at each time period, pooling the resulting random samples gives us a panel data set.

Accepted Answer

A) True 
 B)False

Question 8

The average treatment effect measures _____.

Accepted Answer

A) the effect of a policy or program on the dependent variable 
B) the effect of unobserved factors on observed explanatory variables 
C) the effect of a change in an explanatory variable on other explanatory variables 
D) the effect of unobserved factors on the average outcome of the dependent variable 
A) the effect of a policy or program on the dependent variable 
B) the effect of unobserved factors on observed explanatory variables 
C) the effect of a change in an explanatory variable on other explanatory variables 
D) the effect of unobserved factors on the average outcome of the dependent variable

First-differenced estimation is ideal for obtaining causal effects of explanatory variables that are constant over time.

A data set is a balanced panel if it _____.

The assumption of "strict exogeneity" in a regression model means that _____.

First-differenced estimation in a panel data analysis is subject to serious biases if _____.

Which of the following is a reason for using independently pooled cross sections?

In a natural experiment, the same cross-sectional units appear in each time period.

If a random sample is drawn at each time period, pooling the resulting random samples gives us a panel data set.

The average treatment effect measures _____.

The Nature of Econometrics and Economic Data

The Simple Regression Model

Multiple Regression Analysis Estimation

Multiple Regression Analysis Inference

Multiple Regression Analysis Ols Asymptotics

Multiple Regression Analysis Further Issues

Multiple Regression Analysis With Qualitative Information

Heteroskedasticity

More on Specification and Data Issues

Basic Regression Analysis With Time Series Data

Further Issues in Using Ols With Time Sries Data

Serial Correlation and Heteroskedasticity in Time Series Regressions

Advanced Panel Data Methods

Instrumental Variables Estimation and Two Strage Least Squares

Simultaneous Equations Models

Limited Dependent Variable Models and Sample Selection Correctons

Advanced Time Series Topics

Carrying Out an Empirical Project

Filters

Exam 13: Pooling Cross Sections Across Time Simple Panel Data Methods

First-differenced estimation is ideal for obtaining causal effects of explanatory variables that are constant over time.

A data set is a balanced panel if it _____.

The assumption of "strict exogeneity" in a regression model means that _____.

First-differenced estimation in a panel data analysis is subject to serious biases if _____.

Which of the following is a reason for using independently pooled cross sections?

In a natural experiment, the same cross-sectional units appear in each time period.

If a random sample is drawn at each time period, pooling the resulting random samples gives us a panel data set.

The average treatment effect measures _____.

The Nature of Econometrics and Economic Data

The Simple Regression Model

Multiple Regression Analysis Estimation

Multiple Regression Analysis Inference

Multiple Regression Analysis Ols Asymptotics

Multiple Regression Analysis Further Issues

Multiple Regression Analysis With Qualitative Information

Heteroskedasticity

More on Specification and Data Issues

Basic Regression Analysis With Time Series Data

Further Issues in Using Ols With Time Sries Data

Serial Correlation and Heteroskedasticity in Time Series Regressions

Advanced Panel Data Methods

Instrumental Variables Estimation and Two Strage Least Squares

Simultaneous Equations Models

Limited Dependent Variable Models and Sample Selection Correctons

Advanced Time Series Topics

Carrying Out an Empirical Project

Filters