生產(chǎn)者理論知識(shí)(ppt 55頁)-文庫吧
2025-02-06 18:19 本頁面
【正文】 Result depends on shape of Z z 1 z 2 z 1 z 2 z 1 z 2 z 1 z 2 z2 z1 Take the conventional case... Map the optimum into (z1,w1)space z2 z1 w1 z1 Start with an arbitrary value of w1 ... Do it again for a lower value of w1 ......and again to get... H1(w,Q) the conditional demand curve ?In the conventional case... ?... the constraint set is convex, with a smooth boundary ?We find the solution is a continuous map... ?... that is single valued. Points to note Result depends on shape of Z z 1 z 2 z 1 z 2 z 1 z 2 z 1 z 2 Z(Q) _ 2 z2 z1 What about the nonconvex case...? again map the optimum into (z1,w1)space Z(Q) _ 2 w1 z2 z1 z1 ...now try a very low value of w1 But what happens in between? a demand correspondence Nonconvex Z : jumps in z* w1 z1 no price yields a solution here multiple inputs at this price The demand correspondence Points to note ?In this case... ?... the constraint set is nonconvex ?We find the solution is a discontinuous map… ?The map is multivalued at the discontinuity. Let us set this difficulty aside... ?Let’s take it for granted that singlevalued inputdemand functions exist. ?How are they related to the cost function? ?What are their properties? ?How are they related to properties of the cost function? Do you remember these...? Assume the existence of a conditional input demand function ?C(w, Q) ?wi = zi* _______ Remember this...? slope of the cost function optimal demand for input i Ci(w, Q) = zi* ...yes, it39。s Shephard39。s lemma And so... Ci(w, Q) = Hi(w, Q) i ? ___ ?wj Now let39。s differentiate this... conditional input demand function Which gives u
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