Uploaded on Oct 13, 2020
PhD Econometrics & Statistics help understand the situation by observing from the ground level then predict the value of economic variables. PhD thesis on econometrics provides you with an insight phenomenon that is carried to obtain the optimal state of the trend. Econometrics is about running the collected data or a given phenomenon with the help of the various mathematical and statistical tool. To perform quantitative analysis in a PhD in Econometrics and Statistics, it is necessary to test the hypothesis or observe the trend to determine if the data is economically viable or not. The selection process does not rely on quantifications, experiments, skills that affect the research result. The factors can be anything but depend upon the hypothesis want to test. The hypothesis at this stage only establishes a qualitative relationship and does not offer any economic indicator, which is essential for the study. Learn More About: https://bit.ly/3do7Tuv Contact Us: Website : https://www.phdassistance.com/ UK NO: +44–1143520021 India No: +91–4448137070 Email: [email protected]
Mention The Steps That Econometricians Take To Carry Out An Empirical Study - phdassistance
MENTION THE STEPS
THAT ECONOMETRICIANS
TAKE TO CARRY OUT AN
EMPIRICAL STUDY
An Academic presentation by
Dr. Nancy Agens, Head, Technical Operations,
Phdassistance Group www.phdassistance.com
Email: [email protected]
TODAY'S
DISCUSSION
Outline In
Brief
Project Management Skill
Handling Budgets
Simple steps to create a budget for
research Conclusion
In-Brief
PhD Econometrics & Statistics help understand the situation by observing from the
ground level then predict the value of economic variables. PhD thesis on
econometrics provides you with an insight phenomenon that carried to obtain the
optimal state of the trend. An empirical study starts with writing a hypothesis at the
beginning of the process. If there is no hypothesis, will not be able to proceed further
to test any cause and effect of the relationship. Therefore, it's essential to write a
hypothesis that can be tested and can offer some great insights into a situation.
Int roduct ion
Econometrics is about running the collected data or a
given phenomenon with the help of the various
mathematical and statistical tool.
To perform quantitative analysis in a PhD in
Econometrics and Statistics, it is necessary to test the
hypothesis or observe the trend to determine if the
data is economically viable or not.
How to The entire study or experience revolves around the
Write a hypothesis.
Hypothesi So a slight mistake in hypothesis could result in
s wastage of time, money and effort.
Testing a hypothesis is a complicated procedure.
It is wholly thinking about the right question, for
example, a question that tested and results
obtained from it that enhance your understanding or
meet your objectives.
Types of There are two types of hypothesis,
Hypothesi
NULL
s HYPOTHESIS:
A null hypothesis is one which sample observation
results based on the chances.
This type of hypothesis is not influenced by some
non-random effect.
ALTERNATIVE HYPOTHESIS:
An alternative hypothesis is the one where some
non-random effect influences sample observations.
Hypothesi
s Testing
Hypothesis testing refers to a formal
process to investigate to decide whether to
accept or reject.
The hypothesis should have consistents
then it is accepted, or otherwise, rejected.
Selection of
a Hypothesis It begins with the hypothesis selection.
PhD by Research in Economics consultation helps with the
selection of hypothesis with two simple steps they are
By defining the theory that needs testing
By determining the variables for which the cause and
effect relationship conducted
The selection process does not rely on quantifications,
experiments, skills that affect the research result.
Contd..
The factors can be anything but depend upon the hypothesis want to
test.
The hypothesis at this stage only establishes a qualitative relationship
and does not offer any economic indicator, which is essential for the study.
Establishing
This step is critical because it directs the study.
the
Objectives Decide what is your objective of the study plays a
of the Study crucial role.
This step is essential because effort money and time
spending to the research work should not get
wasted.
PhD Research Topics in Econometrics Help to carry
out empirical research without any object may mislead
and waste time consumed to carry out the process.
So set an achievable research objective.
The purpose of establishing the objective,
To determine the scope of the hypothesis
To determine the limitation of the research
To identify how compensations affect individual data
productivity.
Contd..
Developing Once you set the goal, you can now develop a
an Economic classic economic model.
Model
This step carried out to drive economic relations or
for quantitative analysis, which means it is much
needed to have an economic model for your
hypothesis to review and overcome the issues
related to the research.
This step doesn't require detailed information, so
develop a simple model which is less formal
economical to sort out the problem.
Developing
an Econometric
Model
The purpose of the step is to test the
Economic model; it is essential to
convert it into an Econometric Model to
carry out the study.
Estimating
The next step is to estimate the obtained value of the
the Values econometric model that we derived.
of
However, there is several consideration that you need to take
Coefficient into account at this stage.
s
For this step, it preferred to use non-experimental data to
determine the non- correct result.
Choose an appropriate statistical method, knowing all the
pros and cons.
The doctoral programme in Econometrics and Statistics
h elps in the selection of the data type according to the
time series, panel data for the study.
1. Types
of data
Non-experimental data observed through
already data collected by observing the
real world.
Experimental data is collected in a
controlled environment
2. Selection
of Data The data type is selected based on the data that are
Type driving economic relations.
The data were chosen depending upon the,
size of your sample
type of study you want to carry out
time constraint
Data Once the Data Collection process is over put the data in the
Analysis econometric model, for the estimation of the study.
and The hypothesis is validated if,
Validat ion
If the coefficients have expected magnitudes
The estimates of data have anticipated value
The results satisfy the established assumptions
In this step, we also check the goodness-of-fit, which is about
determining if the selected econometric model is the right fit
for the type of data used in conducting the study.
Conclusio
n
The empirical study aims to evaluate statistical analysis
between the variables or to establish the phenomena to
utilize Quantitative Methods.
This kind of survey describes who, what phenomenon and
thus descriptive but cannot answer the why question.
PhD program Econometrics statistics answer the
question of why an analytical or experimental study needed
for your research work.
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