Estimating process capability index C′′pmk for asymmetric tolerances: Distributional properties

Pearn et al. (1999) considered a capability index C ^′′ _pmk, a new generalization of C _pmk, for processes with asymmetric tolerances. In this paper, we provide a comparison between C ^′′ _pmk and other existing generalizations of C _pmk on the accuracy of measuring process performance for processes with asymmetric tolerances. We show that the new generalization C ^′′ _pmk is superior to other existing generalizations of C _pmk. Under the assumption of normality, we derive explicit forms of the cumulative distribution function and the probability density function of the estimated index . We show that the cumulative distribution function and the probability density function of the estimated index can be expressed in terms of a mixture of the chi-square distribution and the normal distribution. The explicit forms of the cumulative distribution function and the probability density function considerably simplify the complexity for analyzing the statistical properties of the estimated index . Received April 2000     

Estimating and testing a quantile regression model with interactive effects

This paper proposes a quantile regression estimator for a model with interactive effects potentially correlated with covariates. We provide conditions under which the estimator is asymptotically Gaussian and we investigate the finite sample performance of the method. An approach to testing the specification against a competing fixed effects specification is introduced. The paper presents an application to study the effect of class size and composition on educational attainment. The evidence suggests that while smaller classes are beneficial for low performers, larger classes are beneficial for high performers. The fixed effects specification is rejected in favor of the interactive effects specification.     

Single-market disequilibrium models : Estimating and testing

The present paper investigates several issues of estimation and hypothesis testing in the context of a single-market disequilibrium model. The paper attempts to shed light on the following four questions: (1) What are the small-sample properties of the maximum likelihood estimator in various disequilibrium models? (2) How can one test the hypothesis of equilibrium vs. disequilibrium? (3) Can one reasonably estimate the unobservable demand and supply quantities from observable data? and (4) What are the consequences of using an equilibrium model instead of a disequilibrium one, or of using a misspecified disequilibrium model? Each of these questions is examined with the aid of sampling experiments.     

Estimating and testing linkage disequilibrium from sib data

We consider estimation and testing of linkage equilibrium from genotypic data on a random sample of sibs, such as monozygotic and dizygotic twins. We compute the maximum likelihood estimator with an EM‐algorithm and a likelihood ratio statistic that takes the family structure into account. As we are interested in applying this to twin data we also allow observations on single children, so that monozygotic twins can be included. We allow non‐zero recombination fraction between the loci of interest, so that linkage disequilibrium between both linked and unlinked loci can be tested. The EM‐algorithm for computing the maximum likelihood estimator of the haplotype frequencies and the likelihood ratio test‐statistic, are described in detail. It is shown that the usual estimators of haplotype frequencies based on ignoring that the sibs are related are inefficient, and the likelihood ratio test for testing that the loci are in linkage disequilibrium.     

Predictive density construction and accuracy testing with multiple possibly misspecified diffusion models

This paper develops tests for comparing the accuracy of predictive densities derived from (possibly misspecified) diffusion models. In particular, we first outline a simple simulation-based framework for constructing predictive densities for one-factor and stochastic volatility models. We then construct tests that are in the spirit of Diebold and Mariano (1995) and White (2000). In order to establish the asymptotic properties of our tests, we also develop a recursive variant of the nonparametric simulated maximum likelihood estimator of Fermanian and Salanié (2004). In an empirical illustration, the predictive densities from several models of the one-month federal funds rates are compared.     

European dimensions to collective bargaining: new symmetries within an asymmetric process?

The impact of economic and monetary union on the structures, processes and agenda of collective bargaining at sector and company levels is explored. Drawing on cross–national evidence from two sectors, considerable differences between sectors within national boundaries are identified, but also some striking parallels within sectors across national boundaries. Convergence and greater diversity are simultaneously evident.     

Estimating the natural rate of unemployment and testing the natural rate hypothesis

How should one measure the natural rate of unemployment? This paper proposes a systems procedure as an alternative to NAIRU. The natural rate is treated as an unobserved state variable in a system that includes measurement equations for the unemployment rate, the rate of wage growth and the rate of inflation. The model is derived from a version of the wage bargaining model of Blanchard and embodies a version of the natural rate hypothesis. The model is estimated by embedding the Kalman filter within the full-information maximum likelihood procedure. For US data, the estimated model implies substantial post-war variation in the natural rate and a negative, but weak, effect of inflation surprises on unemployment. Copyright © 1999 John Wiley & Sons, Ltd.     

分组数据条件下基尼系数的有效估算方法

本文先讨论了洛伦兹曲线的KP变换,再使用线性插值法导出了实践中广泛使用的基尼系数公式并分析了误差,接着引进了用样条函数计算基尼系数的方法,最后利用中国统计年鉴于1993－1998年的数据,估算了我国城镇居民收入分配的基尼系数。     

Arbitrage and price revelation with asymmetric information and incomplete markets

This paper deals with the issue of arbitrage with differential information and incomplete financial markets, with a focus on information that no-arbitrage asset prices can reveal. Time and uncertainty are represented by two periods and a finite set S of states of nature, one of which will prevail at the second period. Agents may operate limited financial transfers across periods and states via finitely many nominal assets. Each agent i has a private information about which state will prevail at the second period; this information is represented by a subset S_i of S. Agents receive no wrong information in the sense that the “true state” belongs to the “pooled information” set ∩_iS_i, hence assumed to be non-empty.Our analysis is two-fold. We first extend the classical symmetric information analysis to the asymmetric setting, via a concept of no-arbitrage price. Second, we study how such no-arbitrage prices convey information to agents in a decentralized way. The main difference between the symmetric and the asymmetric settings stems from the fact that a classical no-arbitrage asset price (common to every agent) always exists in the first case, but no longer in the asymmetric one, thus allowing arbitrage opportunities. This is the main reason why agents may need to refine their information up to an information structure which precludes arbitrage.     

Approximations and time-discretization in testing one-sided hypotheses for the mean of a gaussian process

Summary In addition to the considerations of Luschgy, approximate locally most powerful tests of a computational form based on continuous sampling are derived and the asymptotic effect of discrete sampling is discussed.     

Infrastructure and productivity: An extension to private infrastructure and it productivity

This paper incorporates both public and private infrastructure within the framework of a nonlinear production function. The theoretical model specifies a technological growth rate as a nonlinear function of government infrastructure and private infrastructure generated by the information sector of the economy—cable, wireless stations, satellites, internet facilities, broadcasting, etc. The time trend is included to capture the effect of all other variables. The empirical estimates generated by the model imply increasing returns to scale for the US economy in the last few years. The evaluation of the growth accounting equation implies that information technology was the largest contributing component to growth during the expansion of the 1990s.     

Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers

Earlier papers by Aiger, Lovell and Schmidt and by Meeusen and van den Broeck have considered stochastic frontier production functions. this paper extends that work by considering the duality between stochastic frontier production and cost funstions, under the assumtions of exact cost minimization (tecchnical inefficiency only) and of inexact cost minimization (technical and allocative inefficiency). We show how to measure both types of inefficiency, and the associated cost of inefficiency. The techniques are illustrated using data on steam-electric generating plants.     

On efficiency of estimation and testing with data quantized to fixed number of cells

Metrika - In continuous parametrized models with i.i.d. observations we consider finite quantizations. We study asymptotic properties of the estimators minimizing disparity between the observed and...     

Information provision and consumer search behavior for products with asymmetric uncertainty

When selling multiple products with asymmetric uncertainty, should the seller disclose product information so that customers do not have to incur any cost to resolve their uncertainties; if so, which product should the seller choose? To address these questions, we consider a monopolist selling two substitutable products to a group of consumers. Each consumer has asymmetric uncertainty regarding the two products. A total of four different information provision structures are considered based on whether the seller discloses information about each product with the aim of determining which strategy provides the seller with the greatest revenue. We derive several interesting results. First, the optimal information provision strategy depends on the magnitude of uncertainty in relation to the product with lower uncertainty. Specifically, if the uncertainty regarding the product with lower uncertainty is sufficiently small, it is optimal for the seller to provide information about the product with higher uncertainty, otherwise, the seller should provide information about both products. Second, when only one product's information should be revealed, it is optimal for the seller to choose the product with higher uncertainty and charge a higher price. Third, withholding information on both products is never optimal for the seller. Finally, our main model is extended by examining the Mean-Preserving Spread setting, and the robustness of our main results is confirmed. Furthermore, we examine the situation in which a monopolist sells a single product with two main attributes. We find that each of the four information provision strategies can be optimal under various scenarios.     

Supply chain decisions under asymmetric information with cost and fairness concern

ABSTRACT

The two-echelon supply chain including single supplier and single retailer is set, and we study the compact of asymmetric information on the decisions in the supply chain when the both supplier’s private cost information and retailer’s private fairness-concern information are asymmetry between the supply chain members, so as to study the effect of misreporting behavior and fairness concern on the supply chain. By mathematical model derivation and numerical analysis, we prove that the misreporting behavior of supplier will intensify the unfair distribution of supply chain and thus make the supply chain operation further deviate from the optimal condition.     

An econometric analysis of asymmetric volatility: Theory and application to patents

The purpose in registering patents is to protect the intellectual property of the rightful owners. Deterministic and stochastic trends in registered patents can be used to describe a country's technological capabilities and act as a proxy for innovation. This paper presents an econometric analysis of the symmetric and asymmetric volatility of the patent share, which is based on the number of registered patents for the top 12 foreign patenting countries in the USA. International rankings based on the number of foreign US patents, patent intensity (or patents per capita), patent share, the rate of assigned patents for commercial exploitation, and average rank scores, are given for the top 12 foreign countries. Monthly time series data from the United States Patent and Trademark Office for January 1975 to December 1998 are used to estimate symmetric and asymmetric models of the time-varying volatility of the patent share, namely US patents registered by each of the top 12 foreign countries relative to total US patents. A weak sufficient condition for the consistency and asymptotic normality of the quasi-maximum likelihood estimator (QMLE) of the univariate GJR(1,1) model is established under non-normality of the conditional shocks. The empirical results provide a diagnostic validation of the regularity conditions underlying the GJR(1,1) model, specifically the log-moment condition for consistency and asymptotic normality of the QMLE, and the computationally more straightforward but stronger second and fourth moment conditions. Of the symmetric and asymmetric models estimated, AR(1)–EGARCH(1,1) is found to be suitable for most countries, while AR(1)–GARCH(1,1) and AR(1)–GJR(1,1) also provide useful insights. Non-nested procedures are developed to test AR(1)–GARCH(1,1) versus AR(1)–EGARCH(1,1), and AR(1)–GJR(1,1) versus AR(1)–EGARCH(1,1).     

Mortgage lending in Chicago and Los Angeles: A paired testing study of the pre-application process

In 2000, the Urban Institute paired African-American and Hispanic testers with whites and sent the pairs to visit lenders in Chicago and Los Angeles, in order to inquire about information on obtaining a home mortgage. In Chicago, African Americans and Hispanics systematically received less information and assistance than comparable whites; while in Los Angeles, the treatment of minority and white testers did not differ statistically from each other. Multivariate analyses for Chicago indicate that large lenders treat minorities more favorably than smaller lenders and that lenders with substantial numbers of applications from African-Americans treat African-Americans more favorably than lenders with predominantly white application pools.