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The Danger of Extrapolating Asymptotic Local Power

Econometrica 1990 58(4), 977
IN NONLINEAR MODELS the power function is often approximated by asymptotic methods. The most common approach is to consider the asymptotic local power function. The local power function is monotonic and it has essentially the same shape as the power function in the classical normal linear regression model. However, the accuracy of the approximation can be poor at nonlocal alternatives. This note examines the exact powers of the Wald test in the case of a one parameter nonlinear regression model with normal errors. The model is based on the exponential response function f( x, O) = exp( Ox). The results show that the exact power function of the Wald statistic can be nonmonotonic. For selected designs the exact powers of the Wald test first increase and then eventually decline as the distance between the hypothesized and the true values of the parameter increases. The exponential structure appears in many nonlinear models; see Gallant (1975, 1987) and Bates and Watts (1988). This suggests that nonmonotonicity of the Wald test is a feature of a wide class of nonlinear models. Indeed, Nelson and Savin (1988) show that it arises in standard logit, probit, and Tobit models as well. The focus here on the nonlinear regression model is for expository convenience. While the existence of nonmonotonic power is not new, the surprising results are that this phenomenon occurs in very simple nonlinear models and that it can be quite severe. In such cases the asymptotic local power approximation provides a very poor guide to the performance of alternative tests.

Inference in Linear Time Series Models with some Unit Roots

Econometrica 1990 58(1), 113
This paper considers estimation and hypothesis testing in linear time series when some or all of the variables have (possibly multiple) unit roots. The motivating example is a vector autoregression with some unit roots in the companion matrix, which might include polynomials in time as regressors. Parameters that can be written as coefficients on mean zero, nonintegrated regressors have jointly normal asymptotic distribution, converging at the rate of T(superscript "one-half") In general, the other coefficients (including the coefficient on polynomials in time), and associated t and F test statistics, have nonstandard asymptotic distributions. Copyright 1990 by The Econometric Society.

Correlated Equilibrium in Two-Person Zero-Sum Games

Econometrica 1990 58(2), 515
but any convex combination of pairs of optimal strategies such that p(2, 2) = 0 satisfies p(1, 1) > 2 (with the obvious notation p(i, j) for the induced probability of row i and column j). However, the following is easily checked. Let I and J be the sets of pure strategies of player 1 and player 2 respectively in a zero-sum game G with value v. Then p = [p(i, i)I(, J) IXJ is a correlated equilibrium distribution for G if and only if for every E J such that p(jo) > 0, the conditional probability of player 2 over player l's actions given jo' [p (iIjo)]I , is an optimal strategy for player 1, yielding exactly v against jo and similarly for [p(jlio)]jEj, io E , p(io) > 0. Hence as conjectured by R. Aumann, if a pure strategy pair occurs with positive probability in a correlated equilibrium, then it occurs with positive probability in a pair of optimal strategies. Also, if one of the players has a unique optimal strategy, then every correlated equilibrium distribution concentrates on a pair of optimal strategies.

Nash Implementation: A Full Characterization

Econometrica 1990 58(5), 1083
The authors extend E. Maskin's results on Nash implementation. First, they establish a condition that is both necessary and sufficient for Nash implementability if there are three or more agents (the case covered by Maskin's sufficiency result). Second--and more important--they examine the two-agent case (for which there existed no general sufficiency results). The two-agent model is the leading case for applications to contracting and bargaining. For this case, too, they establish a condition that is both necessary and sufficient. The authors use their theorems to derive simpler sufficiency conditions that are applicable in a wide variety of economic environments. Copyright 1990 by The Econometric Society.

Direct and Indirect Sale of Information

Econometrica 1990 58(4), 901
The authors compare two methods for a monopolist to sell information to traders in a financial market. In a direct sale, information buyers observe versions of the seller's signal while in an indirect sale the seller sells shares in a portfolio based on his private information. It is shown that, when traders are identical and pricing is linear, there is a trade-off between optimal surplus extraction that is possible under direct sale and more effective control of the usage of information that is possible under indirect sale. The optimal selling method depends on how much information is revealed by equilibrium prices. Copyright 1990 by The Econometric Society.

On Calculating Cost-of-Living Index Numbers for Arbitrary Income Levels

Econometrica 1990 58(1), 75
A method for computing (approximate) cost-of-living index numbers for arbitrary reference income levels is presented. It combines the use of fairly disaggregated data with a relatively modest use of econometric methods. The basis ingredients are (1) a series of chained Tornqvist price index numbers relating to per capital total expenditure, (2) price index numbers for the commodities distinguished, and (3) the income parameters of a differential demand system. This method attains second order precision and is equivalent to a full econometric method based on a translog utility function. The method is demonstrated on Netherlands data for 1952-81. Copyright 1990 by The Econometric Society.

Risk Aversion in the Nash Bargaining Problem with Risky Outcomes and Risky Disagreement Points

Econometrica 1990 58(4), 961
According to this paper, the analysis of the Nash bargaining problem with risky outcomes must include the cases where the disagreement outcome itself is risky as well. Thus, one generalizes the Roth and Rothblum results to models with risky disagreement outcome as well. It turns out that their result will depend, in some cases, upon the «degree of change» in risk aversion. Particularly, when the potential agreement, has an outcome which makes player 2 worse off compared to the disagreement, and if the disagreement does not dominate that outcome (i.e., its support contains a worse outcome), then when player 2 becomes «sufficiently» more risk averse player 1 becomes better off. Thus one obotains that increase in risk aversion may be disadvantageous to player 2 even if the risky disagreement is preferred to some outcome of the (risky) agreement