CATALOG RETAILER IN‐STOCK PERFORMANCE: AN ASSESSMENT OF CUSTOMER SERVICE LEVELS

The purpose of this article is to study the level of “in‐stock” customer service performance being offered in the catalog channel of distribution. The article provides benchmark information for the catalog industry. More importantly, the article serves as one test of the effectiveness of the modern supply chain, where the expectation is for near perfect orders. Customer service levels are studied by using an empirical observation methodology in which catalog retailer's in‐stock performance was measured. Comparisons are made across item type, season, retailer type, and days from catalog receipt. Overall, items were out‐of‐stock during 15.9% of all checkpoints, compared to an 11.8% stock‐out rate in an earlier study of bricks and mortar retailers.     

Fixed Exchange Rates and Disinflation in Emerging Markets: How Large Is the Effect?

We examine developing countries which have institutional quality ratings for the effects of exchange rate rigidity on inflation. The level of institutional development exerts no effect on the impact of currency regimes. However, the interaction of institutional quality and exchange rates has, in the most plausible specifications, a negative impact on inflation. This suggests that fixed exchange rates exert at most a contingent effect on inflation, and indicates that countries in Eastern Europe and Latin America contemplating currency pegs would be better off improving institutional quality prior to adopting the euro or dollar and expecting a large subsequent disinflationary effect. JEL no.  F31, O11     

A note on odds in the cattle futures market

This paper investigates the odds of generating a 100-fold return in the cattle futures market. We employ cattle futures data for the period October 11, 1978, through July 31, 1979, to compute the probability of obtaining such a return. The tests are constructed to give the investor the benefit of the doubt whenever doubt exists. The most conservative finding is that the probability is one in approximately thirty-one trillion. Assuming that the return is made in the most efficient way possible, this probability falls to approximately 1.5×10⁻¹⁶.     

Evaluation of dynamic stochastic general equilibrium models based on distributional comparison of simulated and historical data

We take as a starting point the existence of a joint distribution implied by different dynamic stochastic general equilibrium (DSGE) models, all of which are potentially misspecified. Our objective is to compare “true” joint distributions with ones generated by given DSGEs. This is accomplished via comparison of the empirical joint distributions (or confidence intervals) of historical and simulated time series. The tool draws on recent advances in the theory of the bootstrap, Kolmogorov type testing, and other work on the evaluation of DSGEs, aimed at comparing the second order properties of historical and simulated time series. We begin by fixing a given model as the “benchmark” model, against which all “alternative” models are to be compared. We then test whether at least one of the alternative models provides a more “accurate” approximation to the true cumulative distribution than does the benchmark model, where accuracy is measured in terms of distributional square error. Bootstrap critical values are discussed, and an illustrative example is given, in which it is shown that alternative versions of a standard DSGE model in which calibrated parameters are allowed to vary slightly perform equally well. On the other hand, there are stark differences between models when the shocks driving the models are assigned non-plausible variances and/or distributional assumptions.     

Examining product managers’ job satisfaction and performance using selected organizational behavior variables

The product management form of organization has been around for quite a while; yet little empirical research has been done on product managers. This article reports a study of product managers and some organizational behavior factors which contribute to their job satisfaction and job performance. These factors include centralization of decision making, job structure, job scope, role ambiguity, and role conflict. Finally, several suggestions are made for creating an environment more conductive to having product managers who are satisfied with their jobs.