Introductory Econometrics, 2018 Coursework Brief Assignment:

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Introductory Econometrics, 2018 Coursework Brief
Assignment:
Economic theory suggests that a person’s hourly earnings are related to their schooling level and
their experience in the labour market. In addition, there is a lot of evidence to suggest that gender
matters.
This coursework requires you to estimate the following three regression models,
Model 1:
Model 2:
Model 3:
where denotes hourly earnings, denotes years of schooling, denotes years in the
labour market, and is a dummy variable that takes the value if the respondent identifies
as female, and otherwise.
The coursework has a maximum length of 1,200 words, and should be split into the following
sections:
1. Introduction (200 words)
2. Models (400 words)
3. Results (400 words)
4. Discussion (200 words)
In the Results section you should present the estimation results of the three models in a table,
including point estimates, t-test results, R2
values, and adjusted R2
values. You should also interpret
the point estimates in the three models, and consider whether or not they are in agreement with
economic theory. Finally, you should present results from the White test for heteroskedasticity for
each model in a separate table. In the Discussion section you should state which model you consider
to be the superior model, and why. You might also discuss how you would improve the models in
further work.
In addition to the above, you are also required to include an appendix in which your Stata output is
copied and pasted. Note that the appendix does not count towards the word count, and the tables
in the main body of the text do not count towards the word count.
Further information:
 The deadline for handing in the coursework is midnight on Friday, 27th April 2018. It should
be submitted on Blackboard according to University procedures.
 Datasets, along with a document stating which student should use which dataset, are
provided on Blackboard.
 The assignment represents 50% of each students overall mark for the module.

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Introductory Econometrics, 2018 Coursework Brief Assignment:

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Introductory Econometrics, 2018 Coursework Brief Assignment: Economic theory suggests that a person’s hourly earnings are related to their schooling level and their experience in the labour market. In addition, there is a lot of evidence to suggest that gender matters. This coursework requires you to estimate the following three regression models, Model 1: Model 2: Model 3: where denotes hourly earnings, denotes years of schooling, denotes years in the labour market, and is a dummy variable that takes the value if the respondent identifies as female, and otherwise. The coursework has a maximum length of 1,200 words, and should be split into the following sections: 1. Introduction (200 words) 2. Models (400 words) 3. Results (400 words) 4. Discussion (200 words) In the Results section you should present the estimation results of the three models in a table, including point estimates, t-test results, R2 values, and adjusted R2 values. You should also interpret the point estimates in the three models, and consider whether or not they are in agreement with economic theory. Finally, you should present results from the White test for heteroskedasticity for each model in a separate table. In the Discussion section you should state which model you consider to be the superior model, and why. You might also discuss how you would improve the models in further work. In addition to the above, you are also required to include an appendix in which your Stata output is copied and pasted. Note that the appendix does not count towards the word count, and the tables in the main body of the text do not count towards the word count. Further information:  The deadline for handing in the coursework is midnight on Friday, 27th April 2018. It should be submitted on Blackboard according to University procedures.  Datasets, along with a document stating which student should use which dataset, are provided on Blackboard.  The assignment represents 50% of each students overall mark for the module.

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