Information space conditions for the first-order approach in agency problems

成果类型:
Article
署名作者:
Jung, Jin Yong; Kim, Son Ku
署名单位:
Seoul National University (SNU)
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/j.jet.2015.09.003
发表日期:
2015
页码:
243-279
关键词:
The principal-agent model The first-order approach The likelihood ratio variable
摘要:
When the principal is risk-neutral, the optimal contract for the agent which is derived using the first-order approach depends on the signals of the agent's effort only through the information variable (i.e., the likelihood ratio of the signals). By analyzing the principal-agent problem based on the information variable rather than the signals, we derive three new sets of conditions under which the first-order approach is justified. We show not only that they are more general than any sets of conditions in the existing literature, including Conlon's conditions in the multi-signal case and Jewitt's conditions in the one-signal case but also that they do not require the monotone likelihood ratio property (MLRP) for the density function of the signals. We also derive a set of conditions which applies when the principal is risk-averse and show that those conditions are more general than Conlon's corresponding conditions. (C) 2015 Elsevier Inc. All rights reserved.