The Identification Problem Question: Given a set of observed outcomes and covariates, can you estimate a unique set of parameters ? Answer: In general,

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Presentation transcript:

The Identification Problem Question: Given a set of observed outcomes and covariates, can you estimate a unique set of parameters ? Answer: In general, no, unless one imposes some identifying restrictions.

Outcome Utilities (  X) Equilibrium Outcome Probabilities ( , X) Game Theory Maximum Likelihood Estimation Observed Outcomes and Covariates (X) Estimated Utilities ( ) Perfect Bayesian Equilibrium

Identification in the Probit Model Let y it * measure the latent propensity for a war in dyad i at time t, and assume We observe y it, which equals 1 if war occurred in dyad i at time t, and zero otherwise.

Identification in the Probit Model (cont.) Problem 1: Can add same constant to  and c and get same probability back. If and are maximum likelihood estimates of  and c, then so are. Therefore, can’t get unique estimates of both  and c (or  and c not uniquely identified). Usual solution: Assume c=0. Problem 2: Can multiply  (and  ) and  by same constant and get the same probability back. Therefore,  and  are not uniquely identified. Usual solution: Assume  =1.

Why These Restrictions are Innocuous Setting c determines the origin of the scale c = = c

Why These Restrictions are Innocuous Setting  determines the units of the scale   = 2

A Simple Random Utility Choice Model Fight Not Fight

Identification in the Random Utility Model Problem 1: Constants  W and  P are not uniquely identified; only their difference is. Solution: Fix origin of utility scale by setting, e.g.,  P = 0. Problem 2: Constants  W and  P are not uniquely identified; only their difference is. Solution: Interpret results cautiously Restrict  P or  W to 0

Why This Identification Problem is Not Innocuous Suppose X indicates whether or the state is democratic, and you estimate that  W –  P is negative. This is consistent with all of the following interpretations: Democracy increases U(Peace) and decreases U(War). Democracy increases U(Peace) and has no effect on U(War). Democracy increases U(Peace) and has a smaller positive effect on U(War). Democracy decreases U(War) and has no effect U(Peace). Democracy decreases U(War) and has a smaller negative effect on U(Peace).

To say anything about the direct effect of democracy on U(Peace) or U(War), you must be willing to make an identifying restriction: If you assume democracy has no effect on U(Peace), meaning  P = 0, then you could conclude that democracy decreases U(War). If you assume democracy has no effect on U(War), meaning  W = 0, then you could conclude that democracy increases U(Peace). Whether or not these restrictions are justified is a theoretical matter, not an empirical matter! They cannot be tested empirically with observational data.

It Gets Worse… A B Challenge Not Challenge Fight Not Fight

Choice Probabilities: Outcome Probabilities:

Identification Problems Problem 1: As before,  terms are not uniquely identified, because they appear as differences. To pin down direct effects, must set at least one  for each player to zero. For example, set, and Problem 2: None of the choice or outcome probabilities depend on. Therefore, nothing can be learned about this parameter!

The Limitations of Revealed Preferences 1.Von Neumann-Morgenstern utilities are “cardinal utilities that are ordinal.” All choices are driven by differences in utilities. Without restrictions, we can only estimate the effect of a covariate on the difference in utilities. 2. Relative utilities can be estimated only if the preference between them is revealed. Utilities associated with outcomes that a player never gets to choose between cannot be measured on the same scale. 3.No interpersonal comparisons can be made either.

Back to Our Model A B A Challenge Not Challenge Resist Not Resist Fight Not Fight

Three Subsets of Comparable Utilities SQ A ACQ A BD A SF A ACQ B BD B SF B SQ B

Identifying Restrictions Needed Within each set of subset of comparable utilities: To estimate direct effects of a covariate, X, its effect on at least one utility within the subset must be set to zero. For example, the regime type of A can appear in the equations for SF A, BD A, and ACQ A, but not SQ A at the same time. The constant has to be omitted from at least equation as well. Across subsets of comparable utilities: No comparisons are possible without additional assumptions; e.g., SQ B = BD B.

Why We Need Theory 1.Theory informs the choice of theoretical model (i.e., extensive form of the game and the information structure). 2.Theories needed to motivate/justify identifying restrictions (i.e., what covariates belong in each equation, whose effects can be set to zero). 3.Theory directs data collection.