Political economy of development, political inequality, causal inference
Happy to be here!
Finding connections
Ad hoc seminars, capstone classes, workshops, joint work, other…
Bayesian approaches to integrated qualitative and quantitative data (with Alan Jacobs)
See APSR: Humphreys and Jacobs (2015)
We can go a lot deeper if we marry:
Approach:
do
calculusPackage with Till Tietz, Lily Medina, Georgiy Syunyaev
Replication of Chickering and Pearl (1996): interest in average causal effect with imperfect compliance.
query | given | mean | sd |
---|---|---|---|
Y[X=1] - Y[X=0] | - | 0.56 | 0.10 |
Y[X=1] - Y[X=0] | X==0 & Y==0 | 0.64 | 0.15 |
Y[X=1] - Y[X=0] | X[Z=1] > X[Z=0] | 0.70 | 0.05 |
Remark: See promising avenues here for more historical analysis and also for mixed methods impact evaluation. Qualitative research has been systematically undervalued in many social sciences and there is much more scope for integration than often presumed.
Formal design declarations for transparency and diagnostics
Very wide class of research designs involve choices about four things: Model, Inquiry, Data strategy, Answer strategy
If you are able and willing to specify these in advance then your design becomes diagnosable
:
Inquiry | N Sims | Mean Estimand | Mean Estimate | Bias | SD Estimate | RMSE | Power | Coverage |
---|---|---|---|---|---|---|---|---|
ATE | 500 | 1.00 | 1.01 | 0.01 | 0.20 | 0.20 | 1.00 | 0.94 |
(0.00) | (0.01) | (0.01) | (0.01) | (0.01) | (0.00) | (0.01) |
Remark: Remarkable lack of formality about how to specify and evaluate research designs
The dream: that this gets used to facilitate design development, pre-registration, replication, and funding decisions.
TCD: Happy to do a seminar at some stage on design declaration at diagnosis
Political violence and endogenous growth Humphreys (2022)
Endogenous growth model where factor productivity depends on public goods production. Public goods can be produced via cooperative or coercive technologies.
Conditions under which increased attention to politics can stabilize or threaten existing systems.
Power: Connecting causal inference with non-cooperative power indices
Human shields: strategic logics for when fighting groups mingle among civilians
Increasingly interested in combining formal models with experimental data.
Currently using Bayesian methods and MLE
Keen to learn more about this
Remark: The “credibility revolution” has resulted in theory taking too much of a backseat. But social science is really about understanding why things work.
Structural approaches are a promising but dangerous approach: let’s proceed with caution.
Generally involve partnerships to figure out what works or how things work via randomized assignment.
Generally done in partnership with various groups:
This is a real area of strength at TCD and at TIME especially.
Remark: Received wisdom seems naive. Responsiveness to information weak. Economic rationales often more compelling.
Community Driven Reconstruction studies seeking to assess the effects of development interventions on social cohesion and the quality of local governance
Remark: Very pessimistic about scope for outside interests to alter local governance in meaningful ways.
Remark: Conditions certainly exist for meaningful vertical communication. Irish experiments here look very impressive.
Remark: The knowledge base supporting many types of development interventions is very weak. There are large investments in unproven strategies. Many interventions do little and outsiders cannot (and often should not) by trying to change structures from the outside.
Most development is not driven by aid but by endogenous processes and we should be doing more to understand these.
New lab-in-the-field project with Kasara and Foong in Kenya
Term | Beta | SE |
---|---|---|
Baseline discrimination | ||
outgroup | -0.08*** | 0.017 |
female | -0.03* | 0.014 |
female * outgroup | 0.05 | 0.037 |
Insitutional effects on discrimination | ||
quota * female | 0.14*** | 0.016 |
information * female | -0.05** | 0.020 |
discussion * female | 0.00 | 0.037 |
quota * outgroup | 0.02 | 0.021 |
information * outgroup | 0.02 | 0.024 |
discussion * outgroup | 0.18* | 0.079 |
Insitutional effects on double discrimination | ||
quota * female * outgroup | -0.01 | 0.048 |
information * female * outgroup | -0.04 | 0.053 |
discussion * female * outgroup | -0.08 | 0.174 |
An older theme for me:
Remark:
Discrimination is very widespread; experimental approaches well suited to documenting it; growing evidence showing discrimination is affected by institutional and informational context as well as social contact.
Political inequality is poorly understood and a focus on micro political processes is not sufficient to address it.
Possible themes here for capstone course in either economics or political science
Vaccinated citizens quite happy to targeted constraints of liberties of the unvaccinated
hiddenmeta
provides tools to implement and evaluate designs to measure the prevalence of hidden populations.@TCD: Happy to engage with classes, capstones etc. on causal inference