Panel or longitudinal data

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Step 1 Select a dimension of ex/inclusion Open

Selected: Dynamic

Exclusion is dynamic as both a process and a status.  Exclusion as a process is about the developments that push individuals towards the margins of a given society. These exclusionary dynamics are highly time- and space-specific; they progress in different ways, are experienced at different degrees and with different intensity, and operate at different social levels. As a status, exclusion reflects the outcomes of that process. The fact that an individual has reached the end point of such a trajectory does not mean that there can be no further movement along the inclusion/exclusion continuum. 

 

Take the example of marginalization associated with stigmatising conditions such as HIV/AIDS. Their exclusionary power differs highly from place to place (e.g., between South Africa and the USA), between socio-economic and ethnic groups, and across time (e.g., consider the status of HIV-positive people three decades ago and today).

 

Three inclusive policy markers can assist with diagnosing and addressing such dynamics.

 

Step 2 Select an Inclusive Policy Marker Open

Selected: Built-in duration

Building-in duration and tracking the pathways of inequalities and exclusion, especially when it comes to their historical and/or persistent forms, are critical policy steps. Three key points help in this regard. 

Step 3 Select a Policy Design Consideration

Selected: Panel or longitudinal data

Rather than relying on readily available and often non-contextualized instruments, policies must persevere with questions related to the resistance of certain risks and drivers of exclusion. In doing so, they should gradually move away from the simple tracking of aggregate cross-sectional indicators towards (increasingly available and improved) panel or longitudinal data sets that allow for more quasi-experimental, random assignment, before-after assessments of policy.

 

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