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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.
How much time you want to spend on this material willdepend on the focus of your course. For many social sciencecourses, a general exposure to the ideas, based on a quick runthroug
An outcome of a game is Pareto dominated if another outcome would build a minimum of one player at an advantage while not hurting the other player. That is, another outcome is weak
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Consider two quantity-setting firms that produce a homogeneous good. The inverse demand function for the good is p = A - (q 1 +q 2 ). Both firms have a cost function C = q 2 (a
GAME 1 Claim a Pile of Dimes Two players Aand B are chosen. The instructor places a dime on the table. Player A can say Stop or Pass. If Stop, then A gets the dime and the gam
A type of initial worth auction during which a "clock" initially indicates a worth for the item for sale substantially beyond any bidder is probably going to pay. Then, the clock g
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