A Destructive Sampling Method Designed for Outsourcing Situations Involving High Quality Production Processes

In outsourcing situations involving manufacturing and assembly, the sampling of units produced is important since in many situations not all of the units can be tested. Destructive sampling, which commonly occurs in the assembly and manufacturing industry, is a form of sampling where all units produced cannot be tested since the parts are destructively tested. In this situation, sampling techniques are used to determine if an entire lot should be accepted or rejected based on the sampling results. The traditional sampling techniques include single or classical sampling, double sampling, multiple sampling, skip-lot sampling, chain sampling and MIL-STD-105E. The purpose of this paper is to develop a sophisticated technique that monitors quality at a lower cost than traditional methods yet has similar monitoring characteristics in situations where quality is high and tests are destructive. The proposed technique, Destructive Sampling Method for High Quality production processes (DSM-HQ), is based on a cost function, which balances the costs of sampling versus the costs of finding a defect on the field. DSM-HQ assumes to have a Poisson process defect pattern and uses an Empirical Bayesian analysis to allow the researcher to include prior knowledge.     

Exchange rate regimes and inflation: only hard pegs make a difference

Abstract.  Using data from a large sample of developing countries from 1985 to 2001, we confirm that hard pegs (currency boards or a shared currency) reduce inflation and money growth. There is no evidence that soft pegs confer any monetary discipline, after other factors are controlled for. Inflation triggers regime switches. Under hard pegs, monetary growth is unaffected by fiscal deficits or by inflation shocks. Under soft pegs, as under floats, increased fiscal deficits and positive inflation shocks are associated with higher monetary growth. The apparently slower per capita output growth under hard pegs is explained by their geographical distribution. JEL classification: F41     

A model of endogenous political party platforms

Summary. We develop a model of endogenous party platform formation in a multidimensional policy space. Party platforms depend on the composition of the parties primary electorate. The overall social outcome is taken to be a weighted average of party platforms and individuals vote strategically. Equilibrium is defined to obtain when no group of voters can shift the social outcome in its favor by deviating and the party platforms are consistent with their electorate. We provide sufficient conditions for existence of equilibria.Received: 20 November 2002, Revised: 21 August 2003JEL Classification Numbers: D72, C62.Correspondence to: Ignacio Ortuño-OrtínWe thank A. Caplin, S. Chattopadhyay, C. Martinelli and J. D. Moreno-Ternero and two anonymous referees for helpful comments. This research started while Ortuño-Ortín was a visitor in the Department of Economics at NYU; he thanks for the kind hospitality of this institution. F. Marhuenda and I. Ortuño-Ortín gratefully acknowledge financial support from the Spanish Ministry of Science and Technology Project BEC2001-1653 and Project BEC2001-0980, respectively; A. Gomberg gratefully acknowledges the financial support from the Asociación Mexicana de Cultura.     

Football players’ career and wage profiles

The objective of this article is to look over football players’ career path, from lower leagues to the first league, and the associated wage profile. The information comes from a Portuguese longitudinal matched employer–employee data set defining several career events according to players’ movement across football clubs and across professional and semi-professional leagues. Our identifying strategy relies on coach changes to reduce the potential bias resulting from players’ moves between clubs. The estimated first-difference wage equations indicate that players can expect a wage premium when they get transferred to new clubs in higher leagues or a wage penalty when moving to lower leagues. Players who stay in the same club after the club being relegated can also expect a wage penalty.     

Impact of the stock market capitalization and the banking spread in growth and development in Latin American: A panel data estimation with System GMM

This research is aimed at assessing the impact of the stock market capitalization and the banking spread in per capita economic growth (as a proxy of economic development) in the major Latin American economies during period 1994–2012. To do this, a panel data model is estimated with both system and difference Generalized Method of Moments. The main empirical findings are that economic growth in the countries under study is positively impacted by the stock market capitalization and negatively by the banking spread. Typical problems of multicollinearity and autocorrelation appearing in panel data analysis are corrected under the proposed methodology.     

Transmission of future prices of corn of the Chicago Board of Trade to the Mexican spot market

In Mexico, the use of the coverage program of the Bureau of Market Services and Agricultural Market Development (ASERCA for its acronym in Spanish) is a tool that has been used by corn producers (mainly for white corn) for the acquisition of derived products in the CBOT (Chicago Board of Trade), the underlying element of which is US#2 grade yellow corn. In a high volatility environment regarding the prices of corn, the prices of CBOT should be adjusted with the spot domestic prices to incentivize Mexican producers to participate in the program. However, through a multivariate stochastic volatility analysis during the period of 2007–2012, it was shown that the future price of corn is not strongly related to the prices registered in some states of the country, therefore, it can be inferred that the coverage through the ASERCA program does not properly comply with its objective of protecting the national farmers that grow white corn, despite the fact that its use has increased.     

Option-implied preferences adjustments, density forecasts, and the equity risk premium

The main objective of this paper is to analyse the value of information contained in prices of options on the IBEX 35 index at the Spanish Stock Exchange Market. The forward looking information is extracted using implied risk-neutral density functions estimated by a mixture of two-lognormals and several alternative risk adjustments. Our results show that, between October 1996 and March 2000, we can reject the hypothesis that the risk-neutral densities provide accurate predictions of the distributions of future realisations of the IBEX 35 index at 4- and 8-week horizons. When forecasting through risk-adjusted densities the performance of this period is statistically improved and we no longer reject that hypothesis. We show that risk adjustments based on a power specification for the stochastic discount factor—which is the approach used so far in the literature that derives the objective density function from option prices- generates an excessive volatility of risk premia. We use alternative risk adjustments and find that the forecasting performance of the distribution improves slightly in some cases when risk aversion is allowed to be time-varying. Finally, from October 1996 to December 2004, the ex-ante risk premium perceived by investors and that are embedded in option prices is between 12 and 18% higher than the premium required to compensate the same investors for the realised volatility in stock market returns.      

Gulf Arab E‐Business Environment: Localization Strategy Insights

The Gulf Arab region, particularly Qatar and the United Arab Emirates (UAE), took significant steps toward adopting e‐business and is poised to become a significant online marketplace. The region has a number of vital ingredients that could make it an e‐commerce powerhouse; however, e‐commerce has not reached its full potential. In this article, the authors explore the e‐business environment in the Gulf Arab region and shed light on some of the opportunities and challenges that are shaping and restricting e‐business infiltration. The article places greater emphasis on the idea of localization and how it may impact consumer behavior and expansion of e‐commerce. We argue that by increasing the focus on culturally customized online content by considering country‐level cultural, geopolitical, and linguistic factors, this region could be lucrative for companies looking to attract online consumers. © 2015 Wiley Periodicals, Inc.     

A Bayesian Approach to Double Bounded Contingent Valuation

In this paper we propose a Bayesian approach to model double bounded contingent valuation data. The double bounded elicitation method is interpreted as a two tier iterated process in which the subject is allowed to have a second thought about his/her valuation for the environmental good. Prior information is modelled from the answers to the first dichotomous choice question. The model is Quasi-Bayesian (Q-B) in that the prior distribution refers to mean willingness to pay while the likelihood function refers to the proportions of a multinomial distribution. This model is applied to empirical data from a contingent valuation survey involving the valuation expressed by European tourists for access to natural areas in the Canary Islands. Results show that point estimate of consumer surplus computed with the Q-B model does not differ substantially from single bounded model estimation. In addition, double bounded seems to be quite robust to the choice of the prior model of willingness to pay responses. Comparison with open ended suggests that the Q-B model might be useful to control for strategic response and starting point biases.