Germany, Berlin

Structural Causal Modelling in Stata with Cross-Section and Times-Series Data

when 19 September 2018 - 21 September 2018
language English
duration 1 week
fee EUR 735

Causal modelling is increasingly being used in both the social and biomedical sciences to model the presence, sign, and direction of influence for the relations of all pairs of variables in a dataset. Typically, causal models are based on structural equations, which are analyzed using regression analysis techniques. The estimated relationships are then, as will be illustrated during the course of the workshop, often mapped in diagrams or flow graphs.

The objective of this workshop is to provide participants with the essential toolset, both applied and theoretical, for the correct implementation of structural equation models (SEM) for statistical causal modelling in Stata. Structural equation models are estimated on both cross-section and time series datasets. The former enabling researchers to undertake both confirmatory factor analysis and causal path analysis. The latter allowing researchers to construct scenario-building and policy simulation and evaluations over time. Although these two methodologies are often treated separately in standard courses, as will become evident, they are in fact intricately linked. During the course of the workshop, participants will also be exposed to the visual intuitive graphical representations of causal links.

At the end of the workshop, participants will be able to autonomously undertake articulated causal designs studies to identify, estimate and test for both direct and indirect causal effects in the presence of unobservable endogeneity, selection bias, measurement error and simultaneity, by implementing either a single-equation causal link (as in an instrumental-variables (IV) setting), or the multi-equation system (SEM) approach. Moreover, participants will take advantage of the availability of time-series data to perform scenario-building and policy evaluation via simulation analysis.

In common with TStat’s workshop philosophy, participants will obtain extensive hands-on experience of the issues under consideration, working on example datasets from both social and biomedical sciences under the careful guidance of the course tutor. Although the course is to be considered primary of an applied nature, technical treatment of the analysis in hand, will however, be provided into order to allow participants to properly address real world applications.

Target group

This workshop is of particular interest to biostatisticians, epidemiologists, applied statisticians and researchers or professionals working in the economics, the social sciences or public health.

Course aim

The objective of this workshop is to provide participants with the essential toolset, both applied and theoretical, for the correct implementation of structural equation models (SEM) for statistical causal modelling in Stata. Structural equation models are estimated on both cross-section and time series datasets. The former enabling researchers to undertake both confirmatory factor analysis and causal path analysis. The latter allowing researchers to construct scenario-building and policy simulation and evaluations over time.

Fee info

EUR 735: Students*: € 735.00
Academic: € 1225.00
Non-Profit/Public Research Centres: € 1513.00
Commercial: € 1800.00

*To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year.

Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.

Please note that a non-refundable deposit of €100.00 for students and €200.00 for Academic, Non-Profit/Public Research Centres and Commercial participants, is required to secure a place and is payable upon registration. The number of participants is limited to 15. Places will be allocated on a first come, first serve basis.

Course fees cover: teaching materials (handouts, Stata do files and datasets to used during the course), a temporary licence of Stata valid for 30 days from the beginning of the workshop, light lunch and coffee breaks.

To maximize the usefulness of this workshop, we strongly recommend that participants bring their own laptops with them, to enable them to actively participate in the empirical sessions.