Research Training Questionnaire
Applicants for entry to the PhD programme of the City University
Department of Economics should complete this form and pass it to an
academic referee to be signed and placed in a sealed envelope, marked
with the applicant’s name, and signed across the seal by the referee.
Only applications accompanied by this form will be considered.
The form asks for information about the applicant’s prior training in Economics
and in Research Methods; the level of prior training expected combines the
broadly-based and subject-specific ingredients for Economics set out in the
UK ESRC Postgraduate Training Guidelines (2001). The information provided
on the form serves two purposes: to help us rank applications, and to help us
identify likely training needs of successful applicants.
1 Economics Training
For each of the areas listed below, please indicate the most advanced
textbook that you have used. If a subject has not been studied, please enter,
“none”.
Econometrics
Most advanced textbook used
Probability and statistical inference
Regression
Maximum Likelihood
Times series models
Cross-sections
Panels
Unit roots and cointegration
Limited dependent variables
Sample selection bias
Forecasting
Stochastic Frontier Analysis
Large-sample theory
Macroeconomics
Most advanced textbook
used
Solow growth model
Infinite horizon and OLG models
Endogenous growth theory
Real Business Cycle models
Traditional Keynesian and RE model
Theories of U/E, unions, efficient wages, etc
Inflation, monetary policy, time inconsistency
New Keynesian models, imperfect competition, sticky
prices
Nominal and real exchange rate determination
Foreign exchange market efficiency
Speculative attacks and balance of payments crises
Microeconomics
Most advanced textbook
used
Preferences and consumer choice with
certainty
Decisions under uncertainty
Demand
Technology and production
Perfect competition, monopoly
Oligopoly models
Game theory
Asymmetric information models
Principal agent models
Auction theory
General equilibrium theory
Mathematical Methods
Most advanced textbook used
Optimisation in general
Linear programming
Data envelopment analysis
Dynamic programming
Calculus
Linear algebra
Stochastic calculus
Mathematical analysis
Technical Computing
Programming
languages:
GAUSS
MATLAB
RATS
VISUAL BASIC
Other – please specify:
Statistical packages:
Eviews
Microfit
PCGive
Stata
Limdep
Other – please specify:
Some knowledge
Skilled user
2 General Research and Transferable Skills
Please tick the box which best reflects your level of training or experience.
Bibliographic and
computing
No training
or
experience
During
First
Degree
During
Higher
Degree
Other
(eg.
Short
course)
No training
or
experience
During first
degree
During
higher
degree
Other
(eg.
Short
course)
Use of electronic journals
Use of citation searches
Use of primary research
literature
Maintenance of personal
research bibliography
Word processing
Use of spreadsheet
Data-base management
Have you written a book
review?
How Journal refereeing
works
Ethical and legal issues
Privacy and confidentiality
Intellectual property rights
Data ownership
Contracts and consultancy
Political context of
research
Commercial exploitation of
research
Research management
and team working
Planning research,
scheduling tasks
Writing a proposal for a
funding body
Working in a team
No training During
or
first
experience degree
During
higher
degree
Other
(eg.
Short
course)
Communication
No training During
or
first
experience degree
During
higher
degree
Other
(eg.
Short
course)
Thesis organisation
Making citations and
quotations
Writing up research results
Seminar presentation
Writing for a non-specialist
reader
Teaching – large group
Teaching – small group
Self-management
No training During
or
first
experience degree
During
higher
degree
Other
(eg. Short
course)
Networking
Career planning
Self-awareness
Negotiation
3. General Research Methods Training
Research design:
qualitative and
individual data
Problem formulation
Choice of technique
Sampling
Replication and
reliability
No training or
experience
During
first
degree
During
higher
degree
Other (eg.
Short
course)
Data collection and
analysis (general social
science)
No training During
or
first
experience degree
During
higher
degree
Other
(eg.
Short
course)
Questionnaire design
Survey methods
Interpretation of
measurement error and
missing data
Major social science data
sources
Collection and analysis of
qualitative data
Content analysis
Discourse analysis
Dissertation. Please describe the methods you employed in a piece of
research which formed part of your degree assessment, if any, and indicate
the grade awarded (you should attach another sheet if necessary):
Declaration by referee:
To the best of my knowledge and belief, the answers given above are a
correct reflection of the training received to date by the applicant.
Signature
Name
Position