the 8000 words includes the Research Outline of 3000-3500 words that forms the initial chapters of your Dissertation. The similarity highlighted by Turnitin between the Dissertation and the Research Outline will be ignored by your Supervisor/Module Leader during marking. (I have uploaded this below to add in).
It could do with a revision however, here is the feedback given by teachers
The introduction can be more motivated with more papers published in the 2020s. Theoretical frameworks are well-explained. Research hypotheses are logical. The literature review is adequate. Data need to be clarified. The methodology needs to be adequately explained.
The work presents a discussion on an interesting topic. The author shows the knowledge of relevant empirical literature. As the next step, it would be important to define how bank competition and financial stability could be measured to understand what data needs to be collected and analysed.
As for the rest of the dissertation,
·
Extension of Introduction
chapter to further develop the general focus / motivation of dissertation
that should demonstrate a coherent economics-based approach to your chosen
topic. The research question(s) to be investigated should also be clearly
explained in this section. [approximately
750 words]
· Background / historical overview chapter to
provide the reader a greater perspective of your topic. [approximately 1000-1500
words]
·
Methodology
chapter to further develop the method and data to be used in your analysis. In
particular, this should include the justification of the empirical techniques
that you intend to undertake through outlining their advantages / how they will
resolve your research question(s), this should come from the previous chapters
on Economic Theory and the Contextual/Empirical Literature Review. [approximately
750 words]
·
This should contain the following four points.
Numbers 1-2 and 4 can be written into the Methodology chapter, while number 3
can be an appendix to your dissertation or in this chapter.
·
Methodology
chapter to further develop the method and data to be used in your analysis.
In particular, this should include the justification of the empirical
techniques that you intend to undertake through outlining their advantages /
how they will resolve your research question(s), this should come from the
previous chapters on Economic Theory and the Contextual/Empirical Literature
Review. [approximately 750 words]
·
This should contain the following four points. Numbers 1-2 and 4 can
be written into the Methodology chapter, while number 3 can be an appendix to
your dissertation or in this chapter.
1.
Produce a
formal model (i.e. regression equation) or empirically based explanation of
your research question(s). For example,
this might be:
Regression model specifications:
(1) BG = B0
+ B1BG(t-1) + B2INT(t-1) + B3GDP
+ B4INF + B5UN + B6ELE + B7LEFT +
B8FRAG + B9COAG + B10MINGOV + B11MAT
+ B12EMU
(2) PD = B0
+ B1PD(t-1) + B2INT(t-1) + B3GDP
+ B4INF + B5GAP + B6ELE + B7LEFT
+ B8FRAG + B9COAG + B10MINGOV + B11MAT
+ B12EMU
Dependent
variables:
PD = Government Debt to GDP
BG = Budget Balance to GDP
Independent
Variables:
INT = Long Term Interest Rate
GDP = GDP Growth
INF = Inflation
UN = Unemployment rate
ELE = Election Year Dummy
LEFT = % of Left Cabinet Members
FRAG = Fractionalisation Index
COAG = Coalition Government Dummy
MINGOV = Minority Government Dummy
MAT = Dummy for Maastricht Treaty (TEU)
EMU = Dummy for EMU Accession
A priori expectations:
Model
(1)
B2
B5 B6 B7 B9 B10 0
Model
(2)
B3
B4 B8 B11 B12 0
2.
This
chapter should include a matrix / table as suggested below for all the
variables in your model:
Variable
name (and abbreviation)
Description
Variable
construction
A
priori impact
Data
source
Citations
supporting inclusion of variable
Government
Debt as % of GDP (PD)
PD
captures the higher risk of holding domestic assets associated with higher
level of indebtedness. Therefore, an increase in PD leads to depreciation
of the RER.
The
ratio of domestic government debt to
GDP.
Positive
IMF: A
Historical Public Debt Database
Alesina
and Perotti (1995a)
3.
Collect data
and correctly arrange it (i.e. in columns) in a spreadsheet. For example:
Year
PD
BG
INT
GDP
INF
1980
78.5
-2.8
13.4
1.4
2.7
4.
Listing and
completion of any data transformation (e.g. current to real values;
calculation of rate of change etc.) required saved to initial spreadsheet.
· Data analysis / results chapter where the specifics will differ for each of you in relation to the
type of dissertation you are undertaking and how confident you are on data
analysis, but the emphasis of this chapter is to show the analytical process
that you decide to follow. As indicated below, this will probably range from
simple building blocks of graphs and descriptive statistics through to measures
of association through multiple regression. [approximately 1500-2000 words]
·
Graphical representation of data:
o Line graphs to show trends
o X-Y graphs to show relationship
between the two variables
o Disaggregate the data into key
periods (e.g. due to change in country circumstances) and compare / contrast
across these different time periods
o Some or all of these might go into
your Introduction and/or Background chapters
·
Descriptive statistics:
o Produce descriptive statistics
(i.e. mean, minimum, maximum and standard deviation) of variables across the
whole sample or in the disaggregated time periods/countries etc for
comparison if appropriate
·
Measures of association:
o Correlation shows the association
between a pair of variables in terms of whether it is positive (i.e. they
move in the same direction) or negative (i.e. they move in different
directions) on a scale from -1 to +1
o Simple regression again shows the
association between a pair of variables in terms of whether it is positive
(i.e. they move in the same direction) or negative (i.e. they move in
different directions), but also the impact that one variable has upon the other
and elasticity of the relationship
o Multiple regression shows the
association between the dependent variable (i.e. the exchange rate) and a
range of independent variables (i.e. the factors hypothesised to influence
the exchange rate) in terms of whether it is positive (i.e. they move in the
same direction) or negative (i.e. they move in different directions). Again
it shows the impact and elasticity of the relationship
·
Suggested reading:
o Davis, G. and Pecar, B. (2010) Business statistics using Excel,
Oxford University Press. [Management Library 658.00182 DAV]
o Gujarati, D. (2009) Basic econometrics, McGraw-Hill.
[330.2 GUJ]
o Gujarati, D. (2011) Econometrics by example, Palgrave.
[330.2 GUJ]
·
Conclusion
chapter to summarise the key aspects of the dissertation (e.g. the individual
conclusions from each chapter), together with findings in relation to your
research question(s). Plus what future / policy implications that might be
forthcoming from your research. [approximately
750 words]
But start off by getting me some data to give to my lecturer thanks.
Use SPSS
