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Chapter 9-Assessing Studies based on multiple regression | ECON - Econometrics 1 - Introduction, Quizzes of Introduction to Econometrics

Class: ECON - Econometrics 1 - Introduction; Subject: Economics; University: Simpson College; Term: Forever 1989;

Typology: Quizzes

2011/2012

Uploaded on 11/29/2012

kt2013
kt2013 🇺🇸

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TERM 1
Simultaneous causality
bias
DEFINITION 1
When, in addition to the causal link of interest from X to Y,
there is a causal link from Y to X. Simultaneous causality
makes X correlated with the error term in the population
regression of interest.
TERM 2
External
validity
DEFINITION 2
Inferences and conclusions from a statistical study are
externally valid if they can be generalized from the
population and the setting studied to other populations and
settings.
TERM 3
Functional form misspecification
DEFINITION 3
When the form of the estimated regression function does not
match the form of the population regression function; for
example, when a linear specification is used but the true
population regression function is quadratic.
TERM 4
Sample selection bias
DEFINITION 4
The bias in an estimator of a regressio n coefficient that arises
when a selection process influences the availability of data and
that process is related to the depend ent variable.This induces
correlation between one or more re gressors and the regression
error.(From web)In statistics, sampling bias is a bias in which a
sample is collected in such a way tha t some members of the
intended population are less likely to b e included than others.
TERM 5
Simultaneous equations bias aka
simultaneous causality bias.
DEFINITION 5
Simultaneous causality bias: When, in addition to the causal
link of interest from X to Y, there is a causal link from Y to X.
Simultaneous causality makes X correlated with the error
term in the population regression of interest.
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TERM 1

Simultaneous causality

bias

DEFINITION 1 When, in addition to the causal link of interest from X to Y, there is a causal link from Y to X. Simultaneous causality makes X correlated with the error term in the population regression of interest. TERM 2

External

validity

DEFINITION 2 Inferences and conclusions from a statistical study are externally valid if they can be generalized from the population and the setting studied to other populations and settings. TERM 3

Functional form misspecification

DEFINITION 3 When the form of the estimated regression function does not match the form of the population regression function; for example, when a linear specification is used but the true population regression function is quadratic. TERM 4

Sample selection bias

DEFINITION 4 The bias in an estimator of a regression coefficient that arises when a selection process influences the availability of data and that process is related to the dependent variable.This induces correlation between one or more regressors and the regression error.(From web)In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population are less likely to be included than others. TERM 5

Simultaneous equations bias aka

simultaneous causality bias.

DEFINITION 5 Simultaneous causality bias: When, in addition to the causal link of interest from X to Y, there is a causal link from Y to X. Simultaneous causality makes X correlated with the error term in the population regression of interest.

TERM 6

Internal Validity

DEFINITION 6 When inferences about causal effects in a statistical study are valid for the population being studied.(from web)Internal validity is a property of scientific studies which reflects the extent to which a causal conclusion based on a study is warranted. TERM 7

Errors-in-variables bias

DEFINITION 7 The bias in an estimator of a regression coefficient that arises from measurement errors in the regressors. TERM 8

Population studied

DEFINITION 8 population of entities-people, companies, schooldistricts and so forth-from which a sample was drawn TERM 9

Population of interest

DEFINITION 9 population to which the results are generalized. Population of entities to which the casual inferences from the study are to be applied.