Heterogeneous technology and panel data: The case of the agricultural production function

Economic growth involves reallocating resources from traditional to new techniques of production, creating new relationships between particular resources and productivity. The paper analyzes the implications of this process on the estimation of agricultural production functions using a panel of countries. The data includes a measure of capital in agriculture absent from most studies. We employ a heterogeneous technology framework where implemented technology is chosen jointly with inputs to interpret information obtained in the empirical analysis of panel data. In this framework, estimates depend upon the economic environment, which is represented by state variables. It turns out that the old problem of identifying the production function cannot be resolved through the use of instrumental variables, but can be resolved using the allocation error. The paper discusses the scope for replacing country and time effects by observed state variables. The empirical results differ from those reported in the literature for cross-country studies, largely in augmenting the elasticities of capital and land and reducing those of fertilizer and labor. The evaluation of the marginal value productivity accounts for the flow of capital and fertilizer to agriculture and the flow of labor to other sectors, thereby contributing to overall economic growth.     

Who Benefits from Multiple Brand Celebrity Endorsements? An Experimental Investigation

Advertisers commonly use celebrity endorsers to increase the effectiveness of advertising in persuading consumers. In many cases, these celebrities endorse more than one brand. Little is known, however, about the benefit to brands from these multiple endorsements by the same celebrity. This research applies classical conditioning theory to an exploration of multiple brand endorsements by a single celebrity, and examines how brand concept consistency between endorsed brands affects consumers’ evaluations of the endorsed brand. The findings, over two separate studies, indicate that exact and high concept consistency between endorsed brands positively influences consumers’ attitude toward these brands.     

A Study of Why Anomic Employees Harm Co-workers: Do Uncompassionate Feelings Matter?

Although anomic feelings have been found to lead employees to unethical performance, little is known about why this relationship is possible. The aim of this study is to test a compassion-based explanation of why anomic employees harm co-workers by displaying interpersonal deviance. The prediction is made that once sociological anomie (from the Greek, an-: absence, and -nomos: law) enters organizations in the form of employees’ private feelings of anomie—i.e., “anomia”—, this anomia will individually move staff to be uncompassionate in the workplace. Three uncompassionate feelings toward co-workers are then hypothesized to mediate the relationship between anomia and interpersonal deviance: (i) negative judgments about others, (ii) over-identification, and (iii) isolation. Data were collected from 280 employees at ten hotels in the Canary Islands (Spain). The results indicated that (a) anomia was significantly and positively linked to uncompassionate feelings and interpersonal deviance, (b) but only negative judgments about others mediated the anomia effects on interpersonal deviance. Findings suggest to managers that by spreading ethical standards that discourage negative judgments about others in the workplace, they can neutralize the mechanisms leading anomia to interpersonal deviance.     

ACHIEVING HIGHER ORDER CONVERGENCE FOR THE PRICES OF EUROPEAN OPTIONS IN BINOMIAL TREES

A new family of binomial trees as approximations to the Black–Scholes model is introduced. For this class of trees, the existence of complete asymptotic expansions for the prices of vanilla European options is demonstrated and the first three terms are explicitly computed. As special cases, a tree with third-order convergence is constructed and the conjecture of Leisen and Reimer that their tree has second-order convergence is proven.     

Persistence of financial efficiency in indian hospitality and tourism industry: a dynamic panel Approach

This paper analyses the degree of persistence of financial efficiency for the hospitality and tourism industry in India. The paper deploys the Data Envelopment Analysis technique to generate overall technical efficiency scores as well as pure technical efficiency scores. Furthermore, a dynamic panel technique proposed by Arellano and Bond (1991), is employed to test the degree of persistence of financial efficiency and its key determinants. The results confirm positive and significant persistence of efficiency for the sample firms from the hospitality industry in India. The overall results indicate that hospitality firms in India can create entry and exit barriers to generate positive persistence of financial efficiency. The study suggests regulators specifically focus on policies that can enhance the competitive dynamics of the industry. Such measures may make it imperative for the management of the firms in the sector to streamline their financial management policies to control costs and devise methods for the enhancement of revenues.