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Statistics
Econometrics for Honors Students
(col11208)
Author:
Christopher Curran
Institution:
Emory University
Keywords:
econometrics
,
endogeneity
,
logit models
,
maximum likelihood estimation
,
ordered-probit models
,
panel data
,
probit models
,
replication
,
time series analysis
Summary:
The material herein is intended as an econometrics guide to Economic Honors students. The topics included generally are not covered in a one-semester undergraduate econometrics course but might be useful in undergraduate research.
Subject:
Social Sciences
Language:
English
Popularity:
63.02%
Revised:
2010-07-20
Revisions:
2
A sample Honors paper
(m34830)
Author:
Christopher Curran
Keywords:
automobile fatalities
,
empirical research paper
,
panel data
Summary:
This module offers an introduction to how to put together an empirical research paper. The topic is the impact of per se 0.08 BAC laws on automobile fatalities. The module leads the reader through the whole process of putting together the paper and includes a data set for the student to work with.
Subject:
Social Sciences
Language:
English
Popularity:
38.30%
Revised:
2010-07-20
Revisions:
2
Analysis of time series
(m34544)
Author:
Christopher Curran
Keywords:
econometrics
,
time series
Summary:
This module provides a cursory introduction to the techniques used in the analysis of time series that is intended for advanced undergraduates.
Subject:
Social Sciences
Language:
English
Popularity:
89.54%
Revised:
2010-06-11
Revisions:
3
Endogenous explanatory variables
(m34550)
Author:
Christopher Curran
Keywords:
econometrics
,
simultaneous equation bias
Summary:
This module is a short introduction to the problems that arise when there are explanatory variables in a model that are endogenous. It is intended for the use of advanced undergraduate economics majors who have completed at least one semester of econometrics.
Subject:
Social Sciences
Language:
English
Popularity:
80.50%
Revised:
2010-06-10
Revisions:
2
Logit and Probit Regressions
(m34543)
Author:
Christopher Curran
Keywords:
econometrics
,
logit
,
probit
Summary:
This module reviews the basic concepts needed to estimate and understand logit and probit regressions using Stata. It is intended for advanced undergraduates.
Subject:
Social Sciences
Language:
English
Popularity:
90.95%
Revised:
2010-06-11
Revisions:
3
Panel Data Models
(m34551)
Author:
Christopher Curran
Keywords:
econometrics
,
panel data
Summary:
This module offers a short introduction to the techniques used to estimate panel data models; it is designed for use by advanced undergraduates.
Subject:
Social Sciences
Language:
English
Popularity:
87.20%
Revised:
2010-06-11
Revisions:
3
Replication of econometric studies
(m34552)
Author:
Christopher Curran
Keywords:
econometrics
,
ordered probit
,
replication
Summary:
This module leads the advanced undergraduate student through the process of replicating the econometrics in a published study.
Subject:
Social Sciences
Language:
English
Popularity:
64.33%
Revised:
2010-06-11
Revisions:
3
Sample selectivity bias
(m34547)
Author:
Christopher Curran
Keywords:
econometrics
,
sample selectivity bias
Summary:
This module contains a brief introduction to the econometric problem of sample selectivity bias using Stata.
Subject:
Social Sciences
Language:
English
Popularity:
58.90%
Revised:
2010-09-18
Revisions:
3
Statistical terminology
(m34535)
Author:
Christopher Curran
Keywords:
definitions
,
econometrics
,
statistics
Summary:
This module contains a set of definitions from statistics that might be useful for advanced undergraduates.
Subject:
Social Sciences
Language:
English
Popularity:
51.97%
Revised:
2010-06-10
Revisions:
3
The maximum likelihood estimation method
(m34539)
Author:
Christopher Curran
Keywords:
econometrics
,
maximum-likelihood estimators
Summary:
This module offers a brief and generally intuitive introduction to maximum likelihood estimation methods. It is intended as a guide for advanced undergraduates.
Subject:
Social Sciences
Language:
English
Popularity:
63.70%
Revised:
2010-09-13
Revisions:
5
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