Asymptotic behaviour of regression pre-test estimators with minimal Bayes risk

Pre-test estimators (PTE) are considered which are optimal under a Bayes risk among PTE with general measurable sets as “regions of significance” for the test statistic t associated with the estimate of a given regression coefficient. Asymptotic and some finite sample results are stated and numerical experiments are commented on.     

Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump

Appropriate real‐time forecasting models for the US retail price of gasoline yield substantial reductions in the mean‐squared prediction error (MSPE) at horizons up to 2 years as well as substantial increases in directional accuracy. Even greater MSPE reductions are possible by constructing a pooled forecast that assigns equal weight to five of the most successful forecasting models. Pooled forecasts have lower MSPE than the US Energy Information Administration gasoline price forecasts and the gasoline price expectations in the Michigan Survey of Consumers. We also show that as much as 39% of the decline in gas prices between June and December 2014 was predictable. Copyright © 2016 John Wiley & Sons, Ltd.     

Rezensionen

Ohne Zusammenfassung     

What mbo really is: Results require a complete program

Management by objectives (MBO) is commonly described too narrowly; firms that report unsuccessful experiences have been practicing a limited program. To clear up the confusion that beclouds MBO, the authors first describe the concept and its emphasis on results (the achievement of objectives) and on human behavior and motivation (fulfillment of needs and participation). The MBO system is then examined. The system has four basic components: setting objectives, developing action plans, conducting periodic reviews, and appraising annual performance. Many firms have found that MBO plays the leading role in the managerial process of achieving corporate objectives. The authors list seven major benefits that an organization can expect.     

Flexible estimation of price response functions using retail scanner data

Kalyanam and Shively [1998. Estimating irregular pricing effects: a stochastic spline regression approach. Journal of Marketing Research 35 (1), 16–29] and van Heerde et al. [2001. Semiparametric analysis to estimate the deal effect curve. Journal of Marketing Research 38 (2), 197–215] have demonstrated the usefulness of nonparametric regression to estimate pricing effects flexibly. The empirical results of these two studies, however, also revealed that nonparametric regression may suffer from too much flexibility leading to nonmonotonic shapes for price effects. In this paper, we show how the problem of nonmonotonicity can be dealt with without losing the power of flexible estimation techniques. We propose a semiparametric approach based on Bayesian P-splines with monotonicity constraints imposed on own- and cross-price effects. In an empirical application, we illustrate that flexible estimation of own- and cross-price effects can improve the predictive validity of a sales response model substantially, even when price response curves were constrained to show a monotonic shape, as suggested by economic theory. We also discuss the consequences from an unconstrained estimation of price effects.     

The US current account deficit: A fundamentally flawed development?

The American current account deficit has once more become the subject of public debate. The size of the deficit is seen by some observers as the main cause of the recent decline in the exchange rate of the dollar. Can the latter be taken as confirmation of the increasing warnings that, in view of the dependence of the US economy on capital imports, adjustment processes such as a dramatic slump in the dollar exchange rate are imminent? What fundamental developments lie behind the US current account deficit, and do they give cause for significant adjustment reactions?