Simple techniques for the graphical display of simulation evidence concerning the size and power of hypothesis tests are developed and illustrated. Three types of figures - called P value plots, P value discrepancy plots, and size-power curves - are discussed. Some Monte Carlo experiments on the...

We develop a new form of the information matrix test for a wide variety of statistical models, and present full details for the special case of univariate nonlinear regression models. Chesher (1984) showed that the implicit alternative of the information matrix test is a model with random...

In a continuous-time model of capital accumulation, there are convexity or concavity conditions on benefit and cost functions which ensure that dynamical necessary conditions for optimality are also sufficient. Non-convexities can occur in various ways: the Hamiltonian can fail to be concave...

We consider several issues related to what Hausman (1978) called "specification tests", namely tests designed to verify the consistency of parameter estimates. We first review a number of results about these tests in linear regression models, and present some new material on their distribution...

In a recent paper, Plosser, Schwert and White (1982) proposed a general test for model misspecification based on a comparison of estimates of the model in levels and first-differences. We demonstrate that this test is equivalent to a certain F test for omitted variables. The latter test has...

The local power of test statistics is analyzed by extending the notion of Pitman sequences to sequences of data-generating processes (DGPs) that approach the null hypothesis without necessarily satisfying the alternative hypothesis. Under quite general conditions, the three classical test...

This paper investigates a representative landlord's profit-maximization problem in a stationary environment. The landlord must decide on the quality of his housing units at the time of construction, maintenance expenditure over the life of the building, and the time of demolition. The focus is...

This paper considers the problem of statistical inference with estimated Lorenz curves and income shares. The asymptotic distribution of a vector of Lorenz curve ordinates corresponding to a set of cdf abscissa values is shown to be normal with a variance-covariance structure that depends only...

Methods based on linear regression provide a very easy way to use the information in control and antithetic variates to improve the efficiency with which certain features of the distributions of estimators and test statistics are estimated in Monte Carlo experiments. We propose a new technique...