Question 1

When an equation is estimated for each individual jointly,taking into account contemporaneous correlation the resulting model is a(n)

Accepted Answer

A) Hausman-Taylor model 
B) SUR 
C) ECM 
D) VEC 
A) Hausman-Taylor model 
B) SUR 
C) ECM 
D) VEC

Question 2

Suppose you have a long,narrow panel of data and estimate a single equation with indicator variables and interaction terms for the individuals.In doing this what assumption from the pooled model have you maintained?

Accepted Answer

A) coefficients on variables are equal across individuals 
B) errors are uncorrelated with any x's 
C) expected value of errors are zero 
D) variances of error terms are equal across individuals 
A) coefficients on variables are equal across individuals 
B) errors are uncorrelated with any x's 
C) expected value of errors are zero 
D) variances of error terms are equal across individuals

Question 3

If you perform a Hausman test on a random effects model and have a test statistic that exceeds your critical value,what should you conclude?

Accepted Answer

A) all of the regressors in the RE model are exogenous 
B) none of the common RE and FE coefficients are significantly different 
C) at least one of the coefficients is significantly different from zero 
D) at least one of the regressors in the RE model is endogenous 
A) all of the regressors in the RE model are exogenous 
B) none of the common RE and FE coefficients are significantly different 
C) at least one of the coefficients is significantly different from zero 
D) at least one of the regressors in the RE model is endogenous

When an equation is estimated for each individual jointly,taking into account contemporaneous correlation the resulting model is a(n)

Suppose you have a long,narrow panel of data and estimate a single equation with indicator variables and interaction terms for the individuals.In doing this what assumption from the pooled model have you maintained?

If you perform a Hausman test on a random effects model and have a test statistic that exceeds your critical value,what should you conclude?

An Introduction to Econometrics

Pp : Prob, Probability Primer, Probability Primer

The Simple Linear Regression Model

Interval Estimation and Hypothesis Testing

Prediction, Goodness-Of-Fit and Modeling Issues

The Multiple Regression Model

Further Inference in the Multiple Regression Model

Using Indicator Variables

Heteroskedasticity

Regression With Time Series Data: Stationary Variables

Random Regressors and Moment Based Estimation

Simultaneous Equations Models

Regression With Time Series Data: Nonstationary Variables

Vector Error Correction and Vector Autoregressive Models

Time-Varying Volatility and Arch Models

Qualitative and Limited Dependent Variable Models

Filters

Exam 16: Panel Data Models

When an equation is estimated for each individual jointly,taking into account contemporaneous correlation the resulting model is a(n)

Suppose you have a long,narrow panel of data and estimate a single equation with indicator variables and interaction terms for the individuals.In doing this what assumption from the pooled model have you maintained?

If you perform a Hausman test on a random effects model and have a test statistic that exceeds your critical value,what should you conclude?

An Introduction to Econometrics

Pp : Prob, Probability Primer, Probability Primer

The Simple Linear Regression Model

Interval Estimation and Hypothesis Testing

Prediction, Goodness-Of-Fit and Modeling Issues

The Multiple Regression Model

Further Inference in the Multiple Regression Model

Using Indicator Variables

Heteroskedasticity

Regression With Time Series Data: Stationary Variables

Random Regressors and Moment Based Estimation

Simultaneous Equations Models

Regression With Time Series Data: Nonstationary Variables

Vector Error Correction and Vector Autoregressive Models

Time-Varying Volatility and Arch Models

Qualitative and Limited Dependent Variable Models

Filters