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A priori knowledge usually enables us to decide that some coefficients must be zero in the particular equation, while they assume non-zero values in other equations of the system. We said that identification of an equation is based on variables not included (not appearing) in it. To be identifiable an equation must be independent of one or more important variables, which are included in other equations of the system. Such excluded variables, if operative during the sample period, will generate shifts in the other equations of the model, which will in turn identify the particular equation from which they are absent (i.e. in which they appear with zero coefficient).
Based on the a priori information a list can be prepared, which should be as complete as possible, of the factors which are relevant to the phenomenon being studied. The list can help us decide which of these factors would normally appear in each relationship. For example, assume that we want to study the demand for an agricultural product. The demand equation belongs to a system of equations describing the market mechanism.
A bidding increment is defined by the auctioneer as the least amount above the previous bid that a new bid must be in order to be adequate to the auctioneer. For example, if the in
Take a news story, old or recent, and analyze it from a game theoretic perspective. Provide a hard copy of the source of your news story and consult relevant game theoretic literat
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A strategy is dominated if, no matter what the other players do, the strategy earns a player a smaller payoff than another strategy. Hence, a method is dominated if it's invariably
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Scenario Two conspirators are arrested and interrogated separately. If one implicates the opposite, he might go free whereas the opposite receives a life sentence. Yet, if each
A priori knowledge usually enables us to decide that some coefficients must be zero in the particular equation, while they assume non-zero values in other equations of the system.
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