Dinner remarks
Michael Coppedge
University of Notre Dame
Solves some key challenges to measuring democracy
Sidesteps need for consensus on a definition of democracy
Enables people to create their own customized aggregated index
Enables us to pursue both extension and thick intension (if done right)
Defining even the loose boundaries of the concept
Avoiding concept stretching
Choosing a useful level of measurement
Securing funding
Recruiting, training, and supervising several teams of coders
Sustaining commitment to the project
The way to secure sufficient funding is to write a persuasive and practical proposal
My focus: Realistically, in what ways can we improve on what already exists?
A preliminary assessment of today’s discussions
A set of institutions and processes that approximate political equality, i.e.,
1.
Every citizen’s preferences receive equal consideration before a binding decision is made
2.
3.
The ability of citizens to form and express their preferences is effectively guaranteed
Deviations from this principle are likely to be caught and corrected
4.
Policies are implemented faithfully and without bias
It’s a sequential, evolving process:
Election of representatives
Electoral consequences
Post-electoral negotiation
Direct democracy
Policymaking
Political organization
Checks & balances
Social organization
Administration
Preference formation and expression
Agenda-setting
One way to improve is to measure parts of this process that existing indicators ignore
Do we do this?
Can we do this?
Feasibility is still the biggest constraint: scarce information, finite personnel, time, and resources
We cannot measure every relevant aspect of democracy
We should set aside aspects that are tangential or controversial or impossible:
Individual autonomy, direct democracy, coalition formation, administration…
We can build on prior efforts
We can define explicitly which aspects we are measuring, and which we are not
We can thicken the concept in some ways
We can extend geographic coverage
We can extend historical coverage
We can use better measurement techniques
Explicit, concrete coding criteria
Qualitative precision without sacrificing quantitative precision
Multiple indicators for each concept
Multiple coders
Estimates of uncertainty
So we should have multiple indicators for each likely dimension
And we should use the highest level of measurement that we can: ratio or interval whenever possible
Consider probabilities as the units of measurement: the probability of censure, of being able to vote, of getting a fair trial, etc.
Theoretical dimensions should correspond to empirical dimensions, but often they don’t
Empirical dimensions can evolve over the decades
How many teams of coders?
Undergrads? Grad students? Us?
Employees?
How would we train them? How would we train after turnover?
How much time can we each devote to this project each year?
What kind of compensation do we expect?
What is the timetable?
Do we do everything at once, or a few indicators at a time?