ps2_s.gms : Parts Supply Problem w/ 2 Types w/ Asymmetric Information

Description

```Hideo Hashimoto, Kojun Hamada, and Nobuhiro Hosoe, "A Numerical Approach
to the Contract Theory: the Case of Adverse Selection", GRIPS Discussion
Paper 11-27, National Graduate Institute for Policy Studies, Tokyo, Japan,
March 2012.

Keywords: nonlinear programming, contract theory, principal-agent problem,
```

Small Model of Type : NLP

Category : GAMS Model library

Main file : ps2_s.gms

``````\$title Parts Supply Problem w/ 2 Types w/ Asymmetric Information (PS2_S,SEQ=362)

\$onText
Hideo Hashimoto, Kojun Hamada, and Nobuhiro Hosoe, "A Numerical Approach
to the Contract Theory: the Case of Adverse Selection", GRIPS Discussion
Paper 11-27, National Graduate Institute for Policy Studies, Tokyo, Japan,
March 2012.

Keywords: nonlinear programming, contract theory, principal-agent problem,
\$offText

option limCol = 0, limRow = 0;

Set i 'type of supplier' / eff, inf /;

Alias (i,j);

Parameter
theta(i) 'efficiency'          / eff 0.2, inf 0.3 /
p(i)     'probability of type' / eff 0.2, inf 0.8 /;

Scalar ru 'reservation utility' / 0 /;

* Definition of Primal/Dual Variables
Positive Variable
x(i) "quality"
b(i) "maker's revenue"
w(i) "price";

Variable Util "maker's utility";

Equation
obj     "maker's utility function"
rev(i)  "maker's revenue function"
pc(i)   "participation constraint"
ic(i,j) "incentive compatibility constraint";

obj..     Util =e= sum(i, p(i)*(b(i) - w(i)));

rev(i)..  b(i) =e= x(i)**(0.5);

pc(i)..   w(i) - theta(i)*x(i) =g= ru;

ic(i,j).. w(i) - theta(i)*x(i) =g= w(j) - theta(i)*x(j);

* Setting Lower Bounds on Variables to Avoid Division by Zero
x.lo(i) = 0.0001;

Model SB1 / all /;

solve SB1 maximizing Util using nlp;
``````
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