University of Delhi 2011 M.A Economics winter semester 106- topics in economic theory (admissions of 1999 & onwards) - Question Paper
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Your Roll No.
M.A. / Winter Semester
2237
ECONOMICS Course 106 Topics in Economic Theory (Admissions of 1999 and onwards)
Time : 2i/2 hours Maximum Marks : 70
(Write your Roll No. on the top immediately on receipt of this question paper.)
Answer any three of the 4 questions given below. Each question carries a total of 23m marks. Marks for each part of a question are indicated in parentheses.
(1). Consider a Markov Process on a finite state space S (with \S\ = k), with transition probability matrix M. Use the norm ||y||L = |y| on 3ifc.
Suppose there is a state and e > 0 s.t. for all states i S, > e.
Let 5jj0 be the indicator variable that equals 1 if j = j?0, and equals 0 if the state j jo.
(A). Let y 6 s.t. y* = 0. Show that for all states j,
l(yM)yl < - eSjijo) '
tS
(B). Infer from the above that
lls/MHi < (l-e)||y||,
(C). Notice that if <p and ip are probability vectors, then (B) holds with y replaced by <j> t/>, as the coordinates of this add up to 0. Now let p. be a probability vector, and write pn pMn. By repeatedly iterating the result in (B), show that, with n> m,
IK - Mm||l < (1 - - Jilll < C( 1 - e)m
for some C > 0.
(D). Hence the sequence (fai)%Lo is Cauchy, and converges to a probability vector 7r. Show that tt = nM, i.e., that 7r is stationary.
(2). (A). Let {S,p) be a complete metric space and let the function / :
S' S satisfy p(f(x)y f(y)) < p(x>y) for all distinct x,y e S. Let fm{x) =
Turn over
/(/( (/(*)))) be the function obtained by applying / m- times. Fix x e S. Show that then the sequence of distances W/m+l(:c)>/m(j:)))m-i Ls a convergent sequence.
(2). (B). Let (S,p) be a complete metric space, and let .] be a sequence of uniformly strict contractions with modulus A,0 < A < 1, from S into S. Let (xm) be the corresponding unique fixed points of (3>m) (due to Banach's Theorem). Suppose there exists a function $ : S - + S such that
sup{/9($m(x), $(x))|x 6 5} -* i as m > oo
Show that then $ is a uniformly strict contraction with unique fixed point x* ~ lhnxm. Hint: Estimate the distance p($(x), $(y)) by breaking it up into distances about which you have information regarding the sup assumption above, or about contractions. \
. (10,13|)
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(3). Let S be a state space and T> be the set of all prospects on it (all real valued functions on S taking on a finite number of values).
(A). Suppose a decisionmakers (DMs) preference relation >r_ on V is a weak order and satisfies monotonicity. Suppose alrfo that for every prospect x\ there exists a certainty equivalent CE(x). Show that then CE represents >.
(B). Suppose in addition (to the assumptions![in (A)) that >. satisfies additivity. Show that then for every pair of prospects x, y, CE(x f y) -CE(x) + CE(y).
(C). Suppose a coin is tossed, giving H or T. Suppose > is a weak order, and that all outcomes a, 0, we have an/3 ~ /3h&> Assume risk aversion in the sense that there exist outcomes 7,/?, with y > p s.t. CE(yf{P) < (P + 7)/2. Show that the preference contains a Dutch Book.
(7,7,9|)
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(4). Consider the following infinite-horizon md#el of the market for a commodity Time is discrete ( = 0,1,2,...). Harvests (W)o are i.i.d. according to the density <j> on 5 [a, 00), a > 0. Final Consumers demand is D(p), if the market price is p in any period, and th inverse demand function P is strictly decreasing and continuous. It units purchased by speculators at time t yields alt units at time t + 1, (a 6 (0, l)). Risk-neutral speculators expected profits are EtPt+i&hpth, where p*,pi+i are market prices at times , t 4* 1, and Et refers to expectation conditional on information available at time t.
The supply of the commodity at time 0 is given, and equals X0 6 S. Note that supply at time t, Xt alt-1 + Wt and derfaand - D(pt) -f- It
An equilibrium is a sequence Xt)t>o of random variables such that
there is a function p* : S * (0,00) with pt ~ *(Xt),Vty and the following conditions are satisfied: ;
(i) (110 arbitrage): - pt < 0,V. 1
(ii) Profit Maximization by Speculators: If aEtpt+i ~Pt <0, then It 0.
(iii) Market clearing: Xt = alt-i + Wt = D(pt) + It.
(2.1). Show that there is a unique function p* : S > (0, oo) that solves
p*(x) = max jc* J p*{al(x) + z)<f>(z)dz,P(z) ,Vx e S
(Hint: Use Blackwells Theorem and Banachs Contraction Mapping Theorem, taking their conclusions as given).
(2.2). Show that the p* defined above can serve as the price functional required in the definition of an equilibrium.
(18,5f)
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