Discrete Choice modeling through theory and practice

3 months ago Posted By : User Ref No: WURUR79819 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 15-11-2021 - 19-11-2021
Discrete Choice modeling through theory and practice, Nairobi, Kenya
Training or Development Class Title
Discrete Choice modeling through theory and practice
Event Type
Training or Development Class
Training or Development Class Date
15-11-2021 to 19-11-2021
Last Date for Applying
15-11-2021
Location
Nairobi, Kenya
Organization Name / Organize By
Fine Results Research Services
Presented By
Training Coordinator
Organizing/Related Departments
Training
Organization Type
Organization
Training or Development ClassCategory
Technical
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries

Education/Teaching/Training/Development

Research/Science

Business Development

Social Sciences

Administration/Management

Location
Nairobi, Kenya

Course Title: Discrete Choice modeling through theory and practice

Duration: 5 Days

Location: Fahari Palace Apartments, along Church Road, Nairobi Kenya

Cost: USD 800, KES 65,000

 

Introduction

Human life is full of choices to select from on daily basis. Hence, discrete choice models analyses individual choice behavior and solves problems in many fields such as agriculture, economics, accounting, health, engineering, environmental management, urban planning, tourism and transportation among other fields. For example, discrete choice modeling is used in agriculture to inform on the best technology or innovation that are beneficial to farmers. In terms of health, discrete choice modeling informs on the preference of health and healthcare. In market research, discrete choice modeling can guide product positioning, pricing, product concept testing. This 5 days course will equip participants with skills on how to use databases to estimate and test discrete choice models as well as gain hands-on experience in using discrete choice techniques for practical applications.

 

Duration: 5 days

 

Who should attend?

  • Academia
  • Professionals interested in learning new discrete choice techniques (Masters and PhD students in economics, planning, civil engineering, management, behavioral science, health science, and political science.
  • Staff in development research
  • Consultants in market research, transportation consulting, planning among others

Course objectives

By the end of training, participants will be able to:

  • Understanding discrete choice models and their applications.
  • Choose between a range of different models used for predicting mulitinomial choices.
  • Identify the advantages and disadvantages of the different econometric models. - use the different models in practise and interpret the outcome.
  • Understanding problems of data collection, model formulation, estimation, testing, and forecasting, as learned through case studies of discrete choice methods.
  • Utilizing Stata or R software to estimate and test discrete choice models from real databases.

Course contents

Module1: Basic statistical terms and concepts

  • Introduction to statistical concepts
  • Descriptive Statistics
  • Inferential statistics
  • Research design
  • Sampling

 

Theoretical foundations of discrete choice models: Theories of choice

  • Random utility theory
  • Lancaster’s theory of characteristics
  • Neoclassic economics

 

Module 2: Introduction to behavior modeling

  • Analysis of revealed and stated preferences sampling
  • Learning how to use Stata/R software:
  • Binary choice models
  • Probabilistic choice models
  • Logit model
  • Specification of the Logit/Probit model,
  • Estimation of Logit/Probit parameters, the validation process, and their application.
  • Nested logit

Module 3: Choice with multiple alternatives

  • Multinomial logit model
  • Ordered probit/ordered logit model
  • Specification of the Multinomial Logit/Probit and ordered logit/ordered logit models
  • Estimation of Multinomial Logit/Probit and ordered logit/ordered logit parameters, the validation process, and their application.
  • Case studies with real data sets,
  • Nested logit

 

Module 4: Data management and analysis

  • Data analysis using Stata or R
  • Model applications
  • Case studies on estimation of binary choice model with real data sets,
  • Case studies on estimation of Multinomial Logit/Probit and ordered logit/ordered logit with real data sets,

 

Module 5: Interpretation and discussion of results

Case study: Interpretation and discussion of results from real data analyzed during training

 

TRAINING CUSTOMIZATION

This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

For further inquiries, please contact us through Mobile: +254 732 776 700/+254759285295 or Email: [email protected]

Registration Fees
Available
Registration Fees Details
$ 800, Ksh 65,000
Registration Ways
Email
Phone
Website
Address/Venue
  Fahari Palace Apartments, along Church Road, Nairobi Kenya 
Landmark
Fahari Palace Apartments
Official Email ID
Contact
Monicah

Fahari Palace Apartments, along Church Road, Nairobi Kenya

[email protected]

   +254 732 776 700