Causal Modelling in STATA

Description:

Outline

Many people move from simple regression to more complex causal modelling as their professional life develops.

Objectives

Causal analysis with panel data.
Panel regression (fixed effects and random effects models - practical session using xtrag command; post-estimation commands for xtreg variants).

Opening the avenue to structural equation modelling using 2 or 3 equations (a practical session looking at the correlation and covariance matrices; discussion of how they relate to the output; a brief discussion of xtivreg and some alternatives to it).

Intermediate, intervening, moderating and endogenous variables (a brief paper exercise in causal modelling with proximate and distal causes).
Time, endogeneity, and the connections with event-history analysis - a preview.

Overall, we discuss bias and mediating variables as they affect the regression slopes. A reference list is provided for further reading.

Prerequisites

Familiarity with tabular data, microdata and statistics.

Cost:

£195 (£140 for those from educational and charitable institutions). The Cathie Marsh Institute (CMIST) offers five free places to research staff and students within the Faculty of Humanities at The University of Manchester and the North West Doctoral Training Centre

Website and registration:

http://www.cmist.manchester.ac.uk/study/courses/short/intermediate/multilevel-modelling/

Region:

North West

Keywords:

Data Collection, Data Management , Data Editing, Quantitative Data Handling and Data Analysis, causal modelling, stata

Related publications and presentations:

Data Collection
Data Management
Data Editing
Quantitative Data Handling and Data Analysis

Back to archive...