Industry Classifications: Aim, Scope and Techniques

Industry classifications select essential characteristics of technology and markets, condensating the vast heterogeneity of competitive environments into a smaller number of salient types. Although frequently applied in empirical studies on industrial economics, technological development, international trade, and competitiveness, we still find little or no methodological discussion and a striking lack of awareness for the different approaches pursued. This interpretative survey systematically collects information about the aim, scope and techniques relevant to the major classifications currently used in applied economic studies.     

Earnings management and abnormal returns: Evidence from the 1970–1972 Price Control Regulations

We examine the association between abnormal returns and earnings management in the context of price control regulations to test the construct validity of the earnings management model. Abnormal returns are used as a market–based measure, and discretionary accruals are employed to measure earnings management. Our results support the hypotheses that (1) price control regulations affect firms' security prices negatively, (2) firms make income–decreasing discretionary accruals to increase the likelihood of price increase approval, and (3) firms that are affected most negatively by the regulations manage earnings more aggressively. We conclude that the earnings management model we use in this study is capable of predicting opportunistic discretionary accruals.     

Density estimation in the uniform deconvolution model

We consider the problem of estimating a probability density function based on data that are corrupted by noise from a uniform distribution. The (nonparametric) maximum likelihood estimator for the corresponding distribution function is well defined. For the density function this is not the case. We study two nonparametric estimators for this density. The first is a type of kernel density estimate based on the empirical distribution function of the observable data. The second is a kernel density estimate based on the MLE of the distribution function of the unobservable (uncorrupted) data.     

Changes in food provision in Russian households experiencing perestroika

The purpose of this article is to describe how households in Novgorod the Great, Russia, deal with food provision in everyday life. The study focuses on changes experienced in food provision and consumption in Russian society, in order to illustrate how households respond to the transformation towards a market economy. The study reflects women's perspective on food provision. Students from Novgorod the Great visited 105 households and asked the women in the household to answer a questionnaire. Results from the study show that in order to cope with changes in society related to economic reforms, Russian households had changed both their food consumption and food production patterns. There was no big difference between urban and rural households. Nearly all of the households were self‐sufficient in the provision of vegetables and potatoes. Many households had a ‘dacha’ (plot), where they produced most of what they needed. Among the changes experienced during recent years (i.e. during the end of the 1990s), a decade after perestroika was initiated, households mentioned the rise in food prices and the decrease of income. Households reported that they consumed less fruit and/or meat. Some households also mentioned that the quality of nourishment had decreased, thereby indicating lower general quality, lower nutrition value, or less healthy foodstuffs.     

An Empirical Analysis of Entrant and Incumbent Bidding in Road Construction Auctions

This paper explores differences in the bidding patterns of entrants and incumbents in road construction auctions. We find that entrants bid more aggressively and win auctions with significantly lower bids than incumbents. The differences in their bidding patterns are consistent with a model of auctions in which the distribution of an entrant's costs exhibits greater dispersion than that of an incumbent's and relations of stochastic dominance in the distributions do not persist for the entire range of estimated costs. We also find that more efficient firms bid, on average, more aggressively and firms with greater backlogs bid less aggressively.     

Why students take elective business ethics courses: Applying the theory of planned behavior

Despite the prevalence of elective business ethics courses, little research has sought to explain and predict why some students enroll in these courses and while others do not. Using the theory of planned behavior (Ajzen and Madden, 1986) as a theoretical foundation, 178 graduate students in Ireland were surveyed about their intention to sign up for an elective ethics class. Their behavior was measured two months later. The results reveal the power of the theory of planned behavior to explain and predict who takes elective ethics classes.Donna M. Randall is an associate professor and chair in the Department of Management and Systems at Washington State University. Her research interests include business ethics, organizational commitment, and reproductive risk in the work place. Her work has appeared inJournal of Business Ethics, Decision Sciences, Academy of Management Review, Journal of Vocational Behavior, Journal of Business Research, and others.     

DURATION MOMENTS AND YIELD CURVE MOVEMENTS

In this paper we will analyze the relationship between the value and duration moments of a cash flow and movements in the yield curve. We will show that for changes in the yield curve which can be related to tⁿ , the 1st order changes in the net present value of a cash flow are linearly dependent on the n + lth duration moments, and that the 2nd order changes are dependent on the sum of duration moments of order 2 n + 1 and 2 n + 2. We will use this relationship to tilt tracking portfolios so as to protect them against specific changes in the yield curve.     

Asset market hangovers and economic growth: the OECD during 1984-93

Asses prices and investment were unusually weak throughout theindustrial world during the early 1990s. This paper highlightsthis stylized fact, and connects it with another: in most ofthe industrial world, asset markets boomed for several yearsbefore collapsing around 1989. The paper suggests that assetmarket bubbles during the late 1980s may have left the industrialworld with an 'asset market hangover' in the early 1990s, inthe form of sluggish asset markets and investment. Empiricalsupport for this hypothesis is provided based on cross-countrydata for equity and real estate markets in most industrial countries.We suggest that financial market developments not justifiedby fundamentals can substantially affect real activity.