Deck 17: Limited Dependent Variable Models and Sample Selection Corrections
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Question
Unlock Deck
Sign up to unlock the cards in this deck!
Unlock Deck
Unlock Deck
1/20
Play
Full screen (f)
Deck 17: Limited Dependent Variable Models and Sample Selection Corrections
1
Which of the following statements is true?
A)A truncated regression is a special case of a random sample selection.
B)Nonrandom sample selection can arise in cases of cross-sectional and time series data,but not in the case of panel data.
C)The Tobit regression model is based on endogenous sample selection.
D)The censored regression model is based on nonrandom sample selection.
A)A truncated regression is a special case of a random sample selection.
B)Nonrandom sample selection can arise in cases of cross-sectional and time series data,but not in the case of panel data.
C)The Tobit regression model is based on endogenous sample selection.
D)The censored regression model is based on nonrandom sample selection.
C
2
Which of the following statements is true?
A)Taking logarithmic of a count variable is a suitable way to model it.
B)All standard count data distributions exhibit heteroskedasticity.
C)The nonlinear least squares estimation aims at maximizing R2.
D)Count variables cannot take on the value zero.
A)Taking logarithmic of a count variable is a suitable way to model it.
B)All standard count data distributions exhibit heteroskedasticity.
C)The nonlinear least squares estimation aims at maximizing R2.
D)Count variables cannot take on the value zero.
B
3
Which of the following tests can be used to test hypotheses with multiple restrictions under a Tobit model?
A)White test
B)Wald test
C)Dickey Fuller test
D)Durbin Watson test
A)White test
B)Wald test
C)Dickey Fuller test
D)Durbin Watson test
B
4
In case of endogenous sample selection,OLS is unbiased but consistent.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
5
The nominal distribution for count data is the:
A)binomial distribution.
B)normal distribution.
C)Poisson distribution.
D)Bernoulli distribution.
A)binomial distribution.
B)normal distribution.
C)Poisson distribution.
D)Bernoulli distribution.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
6
The model: G(z)=
where ø(z)= (2π)-1/2exp(-z2/2)represents a:
A)Tobit model.
B)logit model.
C)probit model.
D)linear probability model.

A)Tobit model.
B)logit model.
C)probit model.
D)linear probability model.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
7
When a variable is top coded,its value is known only up to a certain threshold.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
8
The likelihood ratio statistic is given by:
A)LR = (log-likelihoodunrestricted+ log-likelihoodrestricted)
B)LR = 2 × (log-likelihoodunrestricted+ log-likelihoodrestricted)
C)LR = (log-likelihoodunrestricted- log-likelihoodrestricted)
D)LR = 2 × (log-likelihoodunrestricted- log-likelihoodrestricted)
A)LR = (log-likelihoodunrestricted+ log-likelihoodrestricted)
B)LR = 2 × (log-likelihoodunrestricted+ log-likelihoodrestricted)
C)LR = (log-likelihoodunrestricted- log-likelihoodrestricted)
D)LR = 2 × (log-likelihoodunrestricted- log-likelihoodrestricted)
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
9
Which of the following statements is true?
A)OLS estimates in censored regression models are consistent estimators of the population coefficients.
B)In a truncated regression model,the samples are not included randomly from an underlying population but are based on a given rule.
C)In a censored regression model,units in the sample are taken from a particular subset of the population.
D)Maximum likelihood estimators are consistent in truncated regression models even if there is nonnormality or heteroskedasticity in the error terms.
A)OLS estimates in censored regression models are consistent estimators of the population coefficients.
B)In a truncated regression model,the samples are not included randomly from an underlying population but are based on a given rule.
C)In a censored regression model,units in the sample are taken from a particular subset of the population.
D)Maximum likelihood estimators are consistent in truncated regression models even if there is nonnormality or heteroskedasticity in the error terms.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
10
In the Poisson regression model,the probability distribution is given by P(y = h|x)= exp[-exp(xβ)][exp(xβ)]h/h!,h = 0,1,…..
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
11
Which of the following is an example of a binary response model?
A)MA model
B)ARCH model
C)GARCH model
D)Logit model
A)MA model
B)ARCH model
C)GARCH model
D)Logit model
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
12
Which of the following statements is true?
A)A probit or logit model should be used for corner solution outcomes,and a Poisson regression model should be used for a binary response.
B)A Poisson regression model should be used for corner solution outcomes,and a probit or logit model should be used for a binary response.
C)A probit or logit model should be used for count variables,and a Poisson regression model should be used for a binary response.
D)A Poisson regression model should be used for count variables,and a probit or logit model should be used for a binary response.
A)A probit or logit model should be used for corner solution outcomes,and a Poisson regression model should be used for a binary response.
B)A Poisson regression model should be used for corner solution outcomes,and a probit or logit model should be used for a binary response.
C)A probit or logit model should be used for count variables,and a Poisson regression model should be used for a binary response.
D)A Poisson regression model should be used for count variables,and a probit or logit model should be used for a binary response.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
13
The model: G(z)= [exp(z)]/[1 + exp(z)],where G is between zero and one for all real numbers 'z',represents a:
A)logit model.
B)probit model.
C)Tobit model.
D)linear probability model.
A)logit model.
B)probit model.
C)Tobit model.
D)linear probability model.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
14
The model: y* = β?0 + xβ + u,given u|x ~ Normal(0,σ2)and y = max(0,y*)represents a:
A)ARCH model.
B)GARCH model
C)Tobit model
D)logit model
A)ARCH model.
B)GARCH model
C)Tobit model
D)logit model
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
15
A count variable refers to a dependent variable that can take on:
A)nonnegative integer values.
B)nonnegative fractional values.
C)negative fractional values.
D)negative integer values.
A)nonnegative integer values.
B)nonnegative fractional values.
C)negative fractional values.
D)negative integer values.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
16
Duration is a variable that measures:
A)the time when a certain event occurs.
B)the time before a certain event occurs.
C)the time after a certain event occurs.
D)the appropriate number of lags for a regression model.
A)the time when a certain event occurs.
B)the time before a certain event occurs.
C)the time after a certain event occurs.
D)the appropriate number of lags for a regression model.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
17
Which of the following is a method to correct for sample selection bias for the problem of incidental truncation?
A)Vector error correction method
B)First differencing method
C)Heckman's method
D)Johansen method
A)Vector error correction method
B)First differencing method
C)Heckman's method
D)Johansen method
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
18
The Tobit model relies crucially on normality and heteroskedasticity in the underlying latent variable model.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
19
The cumulative distribution function for a standard logistic random variable is a decreasing function.
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck
20
The _____ model is designed to model corner solution dependent variables.
A)linear probability
B)logit
C)probit
D)Tobit
A)linear probability
B)logit
C)probit
D)Tobit
Unlock Deck
Unlock for access to all 20 flashcards in this deck.
Unlock Deck
k this deck