Showing papers in "Journal of Econometrics in 1985"

TL;DR: The construction and analysis of Pareto-efficient frontier production functions by a new Data Envelopment Analysis method is presented in the context of new theoretical characterizations of the inherent structure and capabilities of such empirical production functions.

TL;DR: In this article, the authors examined several modified versions of the heteroskedasticity-consistent covariance matrix estimator of Hinkley (1977) and White (1980) and found that one estimator, based on the jackknife, performs better in small samples than the rest.

TL;DR: In this paper, the authors consider the possibility of tracking "cohorts" through household surveys, defined as a group with fixed membership, individuals of which can be identified as they show up in the surveys.

TL;DR: Methods for estimating the impact of training on earnings when non-random selection characterizes the enrollment of persons into training are presented and the robustness of the estimators to choice-based sampling and contamination bias is examined.

TL;DR: In this paper, the asymptotic power properties of maximal degree of freedom tests are analyzed and the form of optimal tests against specific forms of misspecification is derived for testing for exogeneity of a set of instrumental variables.

TL;DR: In this paper, it was shown that the maximum score estimate lies outside any fixed neighborhood of β ∗ with probability that goes to zero at an exponential rate, and strong consistency was established.

TL;DR: In this paper, administrative data from the unemployment-insurance (UI) system are used to examine the distribution of unemployment spells, and the effects of the exhaustion point and of the UI benefit level on spell lengths obtained with a non-parametric proportional-hazards model.

TL;DR: In this article, a unified theory of likelihood specification testing based on M-estimators of auxiliary parameters is developed, which is sufficiently general to encompass a wide class of specification tests including moment-based tests, Pearson-type goodness of fit tests, the information matrix test, and the Cox test.

TL;DR: This work considers how one might test observed choice data for consistency with optimizing models in the presence of measurement error and derives an appropriate test statistic and conducts case study involving cost minimization behavior by electric utility plants.

TL;DR: In this article, an estimation procedure is presented for the parameters of the model and asymptotic properties of the estimator are investigated, assuming that additional information is available in the form of observations on instrumental variables.

TL;DR: In this paper, the authors propose a procedure for calculating the greatest lower bound for the asymptotic covariance matrices of the estimators of the generalized method of moments estimators.

TL;DR: In this paper, the hazard function for strike duration and cyclical changes in this function, using data on contract strikes in U.S. manufacturing industries, were investigated. And they found that the hazard rate is generally a U-shaped function of strike age.

TL;DR: In this article, a structural but static model of individual search behavior was proposed for the D.H.S. Cohort Study of the Unemployed, and the model was used to estimate the elasticity of unemployment spell duration with respect to unemployment benefits with a priori specification of the vacancy-wage distribution.

TL;DR: In this paper, the authors show that the asymptotic behavior of a wide class of estimators for a dynamic error component model is highly dependent on the assumption about the initial observations and that it offers very good approximations to the small sample behavior of the estimators under consideration.

TL;DR: In this paper, the authors consider the problem of estimation and testing in models with serially correlated discrete latent variables, and derive test statistics for detecting serial correlation in such a model, and then show that the likelihood function can be evaluated by a recurrence relation, and thus maximum likelihood estimation is computationally feasible.

TL;DR: In this article, a three-input, homothetic version of the generalized Box-Cox cost function was used to generate technologies that were oriented in a two-dimensional design space according to a central composite rotatable design.

TL;DR: The authors studied the effect of multiplicative heterogeneity in the hazard function of the Weibull model on the performance of maximum likelihood estimators for the duration of an event and provided a general expression for the inconsistency of M.L. estimators due to neglected heterogeneity.

TL;DR: This paper used the Caves and Christensen procedure to produce the regular regions of three flexible functional forms: generalized Leontief, translog, and Barnett's new minflexLaurent model.

TL;DR: In this paper, maximum likelihood estimates of the determinants of re-employment probabilities of young workers in Britain are presented. But the model used allows us to examine the importance of state dependency in youth unemployment as well as ethnicity, educational qualifications, and unemployment income.

TL;DR: In this article, a minflex-Laurent generalized Leontief model was produced from a special case of a second-order Laurent series expansion in the square roots, and it was shown that the model's regular region always grows monotonically as real income increases.

TL;DR: In this article, it was shown that the assumption of homogeneity of degree zero in prices and nominal income is still possible to estimate the parameters of the system even when expenditure is endogenous.

TL;DR: In this paper, non-parametric tests for weak separability or additive separability of a decision-maker's utility function, given a finite body of price and quantity data are proposed.

TL;DR: In this article, the authors provide a framework to test the validity of static cost minimizing equilibrium assumptions that form the basis for much of the empirical literature on industrial production, and they use results from the optimization problem to form tests with respect to quantities and prices.

TL;DR: In this paper, the second moments of autocorrelations were studied for both Gaussian and non-Gaussian series, and bounds for the variances and covariances of sample autorrelations from an arbitrary random sequence were derived.

TL;DR: In this article, a simplified procedure is described for deriving demand and supply functions which are amenable to empirical estimation and which are consistent with intertemporal expected profit maximization and a general expectations formation process for future prices.

TL;DR: In this article, an alternative test for first-order autoregressive disturbances in the linear regression model is proposed, which is most powerful invariant in a given neighbourhood of the alternative hypothesis parameter space, and empirical power comparison indicates that the test is generally more powerful than the Durbin-Watson test.

TL;DR: Findings with respect to years of work and nonwork, years of part time versus full time work, and cumulative earnings over a 10 year period, confirm and extend Heckman's findings; thus, forecasting models of the work behavior of individuals should not be estimated using pure cross-sectional data.

TL;DR: In this paper, a nonlinear model of technology and specific factor productivity growth was proposed to analyze a new panel of sixteen domestic carriers in the U.S. airline industry over 35 quarters from 1970 to 1978.

TL;DR: In this paper, a semi-Markov model of turnover, resulting from optimizing behavior on the part of workers, is developed, and duration dependence in the transition out of employment is modelled as resulting from a layoff probability which decreases with tenure.