[Forside] [Hovedområder] [Perioder] [Udannelser] [Alle kurser på en side]
The objectives are that the participants can
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apply survey sampling techniques
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describe sources of errors in survey sampling
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analyze estimators of means and ratios
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derive statistical properties of stratification and cluster sampling
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apply tests for statistical relationships between discrete random variables
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analyze discrete choice using logit and probit models
The course consists of two parts. The first part concerns survey sampling. This includes how to implement a sample survey and sampling methods. The second part concerns analysis of qualitative data. This includes estimation and testing if there is a relationship between two or more variables.
COURSE SUBJECT AREAS: The subjects are
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Sample survey
o
Implementation
o
Simple random sampling
o
Ratio estimators
o
Stratification and clusters
·
Analysis of qualitative data
o
Tests for relationships in contingency tables
o
Log-linear models
o
Discrete choice models (logit and probit)
Statistics (3
rd
semester) for BSc Economics and Management or Applied Statistics for the Business Adminstration major program
The lectures will present the main points of survey sampling and discuss sources of errors. Properties of estimators will be derived. To give the participants insights into the practical work with survey sampling, one or two practitioners will be invited to describe how they conduct a survey. The exercises consist of problem solving.
Literature for the different parts:
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Barnett, Vic, 2002: Sample Survey. Principles and Methods. Arnold, Hodder Headline Group,
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Heij, De Boer, Franses, Kloek, Van Dijk, 2004: Econometric Methods with Applications in Business and Economics. Oxford University Press Inc.,
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Notes and exercises
For BSc students a 4-hour written exam together with the course Regression Analysis.
For Business Administration students a 2-hour written examination.
EXAMINATION AIDS ALLOWED: All except for any kind of electronic communications equipment including PCs