Microeconomics Revision Flashcards
What is the MRS of good j for good i
The ratio of their marginal utilities
Explain what Marshallian demand functions are and how to get them
A solution that maximises utility subject to a budget constraint. Use Lagrangian and take FOCs
Explain the indirect utility function
We summarise the relationship between u(x) and p,y
Draw that duality graph, as well as how to get between the minimsation/maximisation problems.
Good luck…
You can get the Marshallian by putting the indirect into 2nd part of Hicksian. You can get the Hicksian by putting the expenditure into the 2nd part of Marshallian.
You also get:
e(p,v(p,y) = y
v(p,e(p,u) = u
Prove homogeneity of degree zero in (p,y) for indirect utility functions
We must show that v(p,y)=v(tp,ty) for t>0.
We know that v(tp,ty)=max u(x) s.t. tpx≤ty
= v(p,y)=max u(x) s.t. px≤y.
We divide both sides by t
Define Roy’s identity
The consumer’s Marshallian demand for good i is the ratio of partial derivatives of indirect utility wrt pi and y after a sign change
Prove Roy’s identity
Use the Envelope theorem to evaluate δv(p,y)/δpi = Lagrangian wrt pi = -λx
We know that λ* = δv(p,y)/δy >0
Therefore, -(δv(p0,y0)/δpi)/(δv(p0,y0)/δy) = x*
Prove that the expenditure function is concave in p
We must prove that e(p,u) is a concave function of prices. If we said that:
p1x1≤p1x and p2x2≤p2x
These relationships also hold for x*
p1x1≤p1x* and p2x2≤p2x*
Because t≥0 and (1-t)≥0, if we multiply the first by t and the second by (1-t), and add them, we get:
tp1x1+(1-t)p2x2 ≤ ptx*
Define and derive Shephard’s lemma
e(p,u) is differentiable in p (p0,u0_ with p0»0 and δe(p0,u0)/δpi = xh(p0,u0)
We use the Envelope theorem but differentiate wrt pi:
δe(p,u)/δpi = δL(x,λ)/δpi = xi* =xh(p,u)
Prove that the cost function is concave in w
We must prove that c(w,y) is a concave function of prices. If we said that:
w1x1≤w1x and w2x2≤w2x
These relationships also hold for x*
w1x1≤w1x* and w2x2≤w2x*
Because t≥0 and (1-t)≥0, if we multiply the first by t and the second by (1-t), and add them, we get:
tp1x1+(1-t)p2x2 ≤ ptx*
t(c1,y) +(1-t)c(w2,y) ≤ c(wt,y)
Prove that the profit function is convex in (p,w)
π(p,w) = py-wx ≥ py* - wx*
π(p’,w’) = p’y’ - w’x’ ≥ p’x* - w’x*
Therefore:
tπ(p,w) + (1-t)π(p’,w’) ≥ (tp+(1-t)p’)y* - (tw + (1-t)w’)x* = π(pt,wt)
Show the Slutsky equation
δxih(p,u)/δpj = δxi(p,y)/δpj + xj(p,y)δxi(p,y)/δy
Prove Hotelling’s lemma
Show that δπ(p,w)/δp = y(p,w) and -δπ(p,w)/δw = xi(p,w)
Using Envelope theorem, we know that:
δπ(p,w)/δp = δL(x*,λ)/δp
L = py - wx
So δL/δp = y(p,w)
Show the Arrow-Pratt Measure of Absolute Risk Aversion. What do the different values of Ra(w) mean?
Ra(w) ≡ -u’‘(w)/u’(w)
If >0, agent is risk averse
If =0, agent is risk neutral
If <0 agent is risk loving