Key facts

Course Dates
5 - 9 Nov 2018
Type/Duration
Short Course - Five Days.
Entry Requirements
Degree in a related subject. Relevant workplace experience may, in some circumstances, be accepted as qualification for entry to this course. Enquire directly to see if you qualify.
Credits
10
Cost
£1400.00
IFST Membership
Your course enrolment also entitles you to one year of free membership to the IFST (Institute of Food, Science and Technology).
Course Provider
Cranfield University
Course Arrangements
Full joining instructions will be confirmed by the course provider.
Course Location
Cranfield University
Cohort
Mixed Cohort
Tutors

Course overview

The Environmental Econometrics course combines key theoretical concepts on econometrics with hands on case studies based on environmental applications. Participants will develop knowledge and skills in quantitative methods of economic analysis to support decision making in natural resources as well as environmental management. 

The five day short course is ideal for anyone involved in environmental valuation, economic analysis and decision making in natural resources and environmental management. The course is specially targeted to governmental organisations, researchers and environmental consultants that could benefit from the use of econometrics or statistics within their role.

Learning outcomes

By the end of the Environmental Econometrics course participants will be able to:

  • Demonstrate a systematic understanding of and apply the methods of data management for econometric analysis.
  • Critically evaluate the contribution and suitability of econometric methods for natural resource and environmental management, including the advantages and limitations of alternative methods.
  • Use major types of econometric techniques to support decision making in natural resource and environmental management, using appropriate software.
Additional Course Information

Areas covered on the Environmental Econometrics course will include:

  • Introduction to quantitative methods for economic analysis applied to a natural resource and environmental management: describing, explaining and predicting.
  • Data management procedures.
  • Modelling and testing relationships: parametric and non-parametric methods, regression analysis and multivariate techniques.
  • Spatial interpretation of results using Geographical Information Systems.
  • Implementation of the learned theory to real cases studies on travel cost and hedonic pricing.
    My AFTP training course has given me greater confidence day-to-day and more insight into the impact of new techniques and technologies.
    Andy Russell - Fresh Produce Technologist, Bakkavor

    Our partners

    Our funder