Information Gathering and Marketing

Consumers have only partial knowledge before making a purchase decision, but can acquire more‐detailed information. Marketing makes it easier or harder for these consumers to do so. When consumers are ex ante heterogeneous, the firm might choose an intermediate marketing strategy for two quite different reasons. First, as a nonprice means of discrimination—it can make information only partially available, in a way that induces some, but not all, consumers to acquire the information. Second, when the firm cannot commit to a given investment in ensuring quality, the marketing and pricing strategy can act as a commitment device.     

Compative robustness of six tests in repeated measures designs with specified departures from sphericity

In this article we examine the behaviour of six univariate statistics for analyzing the data of a Split-plot factorial design. Except for the univariate analysis of variance, which assumes that the dispersion matrix underlying the data is spherical, the other five procedures assume absence of sphericity. However, they do so with a clear distinction between two alternatives, insofar as three of them presuppose an arbitrary correlation between the data and two presuppose serial autocorrelation. These six approaches were compared with regard to their robustness under multivariate normality in the absence of sphericity, both when there was serial autocorrelation and when there was underlying arbitrary correlation. In general, Monte Carlo comparisons show that when underlying the data there is a autoregressive stationary or decreasing structured non-stationary autoregressive process, the Hearne, Clark and Hatch procedure is the most robust. In the rest of the conditions studied, i.e., increasing structured non-stationarity autoregressive and arbitrary non-stationarity (autoregressive and with arbitrary correlation), the Greenhouse-Geisser and Lecoutre statistics display the best behaviour.     

Inequality in Pre-Income Survey Times: A Methodological Proposal

We propose different alternatives of inequality estimation for economies with a big agricultural sector where land is a decisive factor in income generation and where we do not have enough information about personal earnings. To this end, we use the Uruguayan case to test our methodology. We propose six analytical exercises where Gini indexes are calculated, and as reference we choose the estimation that better adjusts to some theoretical and empirical conditions. Finally, we check the historical accuracy of the series by looking at income distribution explicative variables and the shape of the Inequality possibility frontier. Our results are consistent with the economic and social events of the period (1870–1912) and with previous estimates which reveal worsening trends in income distribution. However, our annual data allow capturing the dynamics of the process where breaks in the series are observed and improvements and declines alternate in the evolution of income distribution.     

Home Automation—A Fast - Expanding Market

In recent years, a host of companies have tried to bridge the technology gap between home automation systems. This collective effort has led to the development of technologies that have triggered the beginning of device interoperability. A seamless ecosystem is being created that aims to improve comfort for dwellers, improve efficiency of homes, and, as an additional result, will create a massive market for home automation devices. Our research revealed that the home automation market has been growing at an enormous pace and additional integration of technologies would continue to stimulate demand even more, further diminishing costs and thereby reducing the exclusivity of the market by bringing them to the masses. © 2016 Wiley Periodicals, Inc.     

New perspectives for the managerial entrepreneurship

Is the purpose of this speech to build in an eclectic and holistic way the bases of a theoretical mark that it describes, analyze and do interpret the phenomenon of the managerial entrepreneurship from the interdisciplinary point of view in such a way that the foundation is to respond to the question how to understand the entrepreneurship?, to build starting from their evolution diverse perspectives that you/they enrich their analysis and study that make understand that the entrepreneurship is a practical, simple and complex phenomenon that the managers experience directly in their activities and functions, as a breaking act and improvement of the conditions of life of the society. It is sought to analyze and to propose perspectives of study of the entrepreneurship of the managers, their personal characteristics, as their social, political, economic and cultural implications, from the interdisciplinary point of view in the mark of the investigation line entrepreneurship and Managerial Mentality that he/she interprets their purpose action, administration, innovation and mainly their relationship with the environment, so momentous for the growth of the companies.     

Goal Programming: Potential and Limitations for Agricultural Economics

Recently, goal programming (GP) has been discussed in the literature as an alternative to linear programming, particularly in decision-making environments involving multiple objectives. In this paper we present an overview of the different GP formulations, their assumptions, limitations, and implications for agricultural decision making. Furthermore, a new insight into the interpretation of duality in GP is discussed. The concept of "standardized dual variables" which provides a more meaningful interpretation of shadow prices in GP is introduced. A simple but realistic farm agricultural planning example is used to illustrate the analysis.
Récemment, la technique de programmation appellée "goal programming" ou "GP" a été presentée dans la literature comme une alternative à la programmation Iinéaire, particulièrement dans les situations òu le procés de décision est basé sur plusieurs objectifs simultanés. Dans cet article nous présentons une vue génerale des différentes formes de la "GP;" leurs hypothèses de base. Ieurs limitations, et leurs implications pour le procés de decision agricole, une nouvelle intérpretation de la dualité en "GP" est proposée. En particulier, le concept de "variables duales standardisées" est introduit, ce qui permet une interpretation plus significative des prix de reference en "GP." Finalement. un exemple simple mais réaliste de planification agrcole a l' échelle d' une ferme est pour élucider utilisé l' analyse.     

Traffic exposure near the Los Angeles–Long Beach port complex: using GPS-enhanced tracking to assess the implications of unreported travel and locations

Traffic exposure assessments could misclassify the extent and locations of exposure if traditional recall surveys and self-reported travel diaries do not record all participant activities. The Harbor Communities Time Location Study (HCTLS) examines the nature, extent and implications of underreported locations/trips in a case study which used portable Global Positioning Systems (GPS) devices to track the diurnal patterns and traffic exposure of 47 residents of communities near the Los Angeles–Long Beach port complex. Participants were similar to adults nationwide in time spent indoors, in-vehicle, and outdoors, but spent more time indoors at home (78% vs. 66%). Overall, participants did not report nearly half (49%) of the locations and trips identified in GPS-enhanced data on their activity diaries, resulting in about 3 h/day in unreported locations and 0.6 h/day in unreported trips. The probability of a location/trip being underreported was systematically correlated with participant and location/trip characteristics. Self-reported data missed about 50 min of heightened air pollution exposures during the 5 h/day on average participants spent in high-traffic areas and about 30 min during the 4 h/day near truck routes. GPS-enhanced methods provide opportunities to more precisely characterize exposure periods and tools to identify facility, roadway, and land use types of the greatest concern for mitigation efforts.     

Analyzing the Techno-Economic Determinants for the Repowering of Wind Farms

The aim of this article is to identify the relative importance of technical and economic variables in the financial feasibility of repowering wind farm projects. A financial valuation model is developed. We carry out a sensitivity analysis with several variables considered to be key in the repowering decision. The most relevant technical variable is the increase in production efficiency and the most relevant economic variable is the capital expenditures in new equipment. Furthermore, the decision to repower critically depends upon the level of support being provided. The repowering project would not be feasible in the absence of support.     

Which workers get insurance within the firm?

Industry-level time series data suggest that low-skilled workers get less insurance within the firm than high-skilled workers. In particular, wages respond relatively more to productivity shocks in low-skilled industries than high-skilled industries. Our theory is that low-skilled workers get relatively less insurance from their firms because they have relatively lower displacement costs. Under limited commitment, lower displacement costs make the workers' outside options more attractive, and hence decrease the amount of risk sharing sustainable within the firm. Evidence on average displacement costs by industry support the theory's predictions.     

Assessing Supermarket Product-Line Decisions: The Impact of Slotting Fees

In this paper, I estimate a structural demand model for a product category in a supermarket chain. I use the model to infer manufacturers' side payments to obtain shelf access in the supermarket and I estimate the impact of these fees on product assortment. The results suggest that the supermarket carries some unprofitable products. Instead of eliminating them, it charges slotting fees to the manufacturers of those products. Since the absence of slotting fees would lead the retailer to discontinue some products, this paper argues that forbidding slotting fees would harm consumers. Welfare calculations reveal that product assortment in this market is close to socially optimal.