Evidence on the motivation for management forecasts of corporate earnings

A multivariate model of the process by which managers decide to release public forecasts of their firms' earnings is developed, based on factors that are hypothesized to affect the demand for and the willingness to supply such forecasts. We test the model on data from a comprehensive sample of earnings forecasts, and find support for our hypotheses about the likely joint influence of those factors. Larger firm size, greater leverage, higher and more stable earnings rates and less rapid growth rates are found to be associated with an increased propensity for management to provide earnings forecasts for their firms.     

Job Security Provisions and Employment: Revised Estimates

This article provides estimates of the effect of statutory severance pay and notice on four labor market outcome indicators, closely following Lazear (1990) but correcting for errors in his dependent variables and covariates. Although we corroborate the directional influence of severance pay for three of the indicators, there is little to suggest that its contribution to rising unemployment is material. Also contrary to Lazear, longer notice appears to be associated with broadly favorable outcomes.     

The Mode of Acquisition in Takeovers: Taxes and Asymmetric Information

We develop a model in which the mode of acquisition conveys information concerning the value of the bidder. The model incorporates the possibility that offers containing both cash and stock can be made in a setting consistent with the U.S. tax code. We demonstrate that bidders with unfavorable private information about their equity value choose offers containing some stock to avoid the capital gains tax consequences of cash offers. The model yields a number of unique predictions about the construction of acquisition offers. We present evidence consistent with the model.     

THE EFFECT OF INVESTMENT IN INTERORGANIZATIONAL INFORMATION TECHNOLOGY IN A RETAIL SUPPLY CHAIN

The primary purpose of this research was to investigate the effect of investment in information technology in a supply chain. The results of that investigation are presented by focusing on an empirically tested supply chain relationship model containing both behavioral and operational constructs. The four behavioral constructs represented in the model are relationship trust, relationship commitment, relationship dependence, and long‐term relationship orientation. The four operational constructs represented in the model are retailer investment in interorganizational information technology, perceived supplier investment in interorganizational information technology, logistics efficiency, and logistics effectiveness. Among other findings, the results of the investigation found that perceived supplier investment in interorganizational information technology has a significant and positive effect on logistics efficiency.     

RELATIONSHIP MAGNITUDE AND ITS ROLE IN INTERORGANIZATIONAL RELATIONSHIP STRUCTURE

Close relationships between and among supply chain members are becoming more prevalent. However, there is lack of agreement in the literature and in practice concerning the characteristics of different interorganizational relationships. The resultant confusion is an obstacle to the progression of research and could cause problems among firms in a supply chain. Based on previous research and an exploratory study conducted with company executives responsible for supply chain management activities, this article seeks to introduce the concept of relationship magnitude (i.e., the extent or degree of closeness or strength of the relationship) and differentiate it from relationship type (i.e., classes of relationships that share common traits). Implications for managers and opportunities for future research are provided.     

Conditioning as disintegration

Conditional probability distributions seem to have a bad reputation when it comes to rigorous treatment of conditioning. Technical arguments are published as manipulations of Radon–Nikodym derivatives, although we all secretly perform heuristic calculations using elementary definitions of conditional probabilities. In print, measurability and averaging properties substitute for intuitive ideas about random variables behaving like constants given particular conditioning information.
One way to engage in rigorous, guilt-free manipulation of conditional distributions is to treat them as disintegrating measures—families of probability measures concentrating on the level sets of a conditioning statistic. In this paper we present a little theory and a range of examples—from EM algorithms and the Neyman factorization, through Bayes theory and marginalization paradoxes—to suggest that disintegrations have both intuitive appeal and the rigor needed for many problems in mathematical statistics.     

我的九条命

在我生命中各个阶段里，我与学术界不知不觉地频频有缘。启蒙时期，我科到名师的熏导业已浸淫于国学；经史子籍，无所不读，撰文作诗，直追唐宋，俨然是一个“小老学究”。当我入仕时，一秉传统士大夫的志趋，一心为国为民，在我自我流放期间，发现我唯一可谋生的本领是学术，我既没有继承万贯家财，也没有在当权时放出许多人情，作为经商的捷径，实际上，我曾试探经商之路，但是在没有有力的后台引见下，我意识到，要加入一家企业，条件是能够为其带来多少商机，我对这种用才标准并不欣赏，在此情形下，要做一个小企业家，其生活方式也难以适应，特别是对我的妻女是一种冒险。