Testing for homogenous or heterogenous doers in Longitudinal latent class regression framework

  • Saima Ishaq Pakistan Institute of Development Economics (PIDE), Islamabad
  • Ahsan -ul- Haq Satti Pakistan Institute of Development Economics (PIDE), Islamabad
Keywords: mixture models, latent class regression analysis, Step-3 analysis, unobserved heterogeneity

Abstract

Latent class regression analysis is applied in context of conditional and unconditional analysis. The empirical analysis is conducted in novel way for exploratory and confirmatory perspective utilizing longitudinal British household data of Understanding society. The study aims to explore the profile differences for subjective satisfaction towards work and confirms the absence of differential effects of job-related variables across the explored broad classes of satisfied and non satisfied job doers. For further insights into behaviour of selected classes, conditional models are employed. Step 3 approach is utilized in this regard for investigating the contribution of background variables such as gender, age, occupation and quality of life for shaping their response of being satisfied or non satisfied with their jobs. This study overall tests and confirms the absence of heterogenous triggers for job satisfaction in British society.

 

Downloads

Download data is not yet available.
Published
2023-06-30
How to Cite
Ishaq, S., & Haq Satti, A. (2023). Testing for homogenous or heterogenous doers in Longitudinal latent class regression framework. Empirical Economic Review, 6(1), 20-46. https://doi.org/10.29145/10.29145/eer.61.02
Section
Articles