Differencing of random walks and near random walks

The traditional rationale for differencing time series data is to attain stationarity. For a nearly non-stationary first-order autoregressive process—AR (1) with positive slope parameter near unity—we were led to a complementary rationale. If one suspects near non-stationarity of the AR (1) process, if the sample size is ‘small’ or ‘moderate’, and if good one-step-ahead prediction performance is the goal, then it is wise to difference the data and treat the differences as observations on a stationary AR (1) process. Estimation by Ordinary Least Squares then appears to be at least as satisfactory as nonlinear least squares. Use of differencing for an already stationary process can be motivated by Bayesian concepts: differencing can be viewed as an easy way to incorporate non-diffuse prior judgement—that the process is nearly non-stationary—into one's analysis. Random walks and near random walks are often encountered in economics. Unless one's sample size is large, the same statistical analyses apply to either.     

Upward influence tactics and their effects on job performance ratings and flexible working arrangements: The mediating roles of mutual recognition respect and mutual appraisal respect

Supervisor's human resources (HR) decisions have a significant impact on the employees they manage but have been found to be subject to bias. The upward influence tactics use by subordinates can play a role in this. We investigated the effects of seven upward influence tactics on supervisor job‐performance ratings and the extent of subordinate flexible working arrangements (FWAs). Supervisors are often responsible for determining whether employees are granted FWAs. We posit an alternative theoretical mechanism by which upward influence tactics bring about their effects, mediated through two distinct types of respect, mutual appraisal respect and mutual recognition respect. We collected data from 389 matched supervisor–subordinate dyads, and found that both mutual appraisal respect and mutual recognition respect mediated relationships between several upward influence tactics and both job‐performance ratings and FWAs. Our findings show that upward influence tactics affect the quality of the relationship between employees and their supervisors, specifically, these two forms of mutual respect. Further, both mutual appraisal respect and mutual recognition respect may explain why supervisors show favoritism to some subordinates over others, in reaching HR decisions in these areas.     

On Measuring the Value of a Nonmarket Good Using Market Data

We use line integral theory to lay out in a more general theoretical framework the conditions under which it is possible to measure with market data the welfare effects of a change in a nonmarket good. We present in detail a numerical method of measuring the value of nonmarket goods using market data, under either weak neutrality or weak complementarity. Our numerical method is more flexible than the existing analytical method because it can be used with any well-behaved Marshallian demand function, and can be used even when the willig condition does not hold.     

Valuing high altitude spruce-fir forest improvements: importance of forest condition and recreation activity

High altitude spruce fir forests are typical around the world and are often subjected to multiple forms of recreational use. In this paper, we use household and recreation group data for a spruce fir forest high in the Appalachian Mountains of the U. S. to evaluate the benefits from forest protection (i. e., from improving the forest condition). Our benefits estimation procedures use the referendum-type, contingent valuation (CV) approach of Cameron (1988). We modify the usual practice of obtaining a single willingness-to-pay (WTP) value by using alternative questionnaire scenarios and conducting tests to examine i) household and recreation group value sensitivity to forest condition, and ii) recreation group differences in WTP for forest protection. A first sample of southeastern U. S. households was asked to value a forest protection program for a spruce-fir forest showing no impact from insect disturbance or atmospheric deposition. The second sample was asked to value a protection program for a forest already experiencing impact from insect infestation and air pollution. Logit analysis of the two samples revealed no statistically significant difference in household WTP between the two forest protection programs. Further analysis indicated that consumptive forest users (i. e., hunters and anglers) held forest protection values that were sensitive to a change forest condition, while nonconsumptive forest users (i. e., campers and hikers) held values that were insensitive to the same condition change. Recreation group comparisons revealed that consumptive forest users also held lower values for forest protection than nonconsumptive recreationists. These results demonstrate the importance of estimating public values for forest protection in terms of heterogeneous groups rather than as a homogeneous whole.     

Spatiotemporal Modeling of Asian Citrus Canker Risks: Implications for Insurance and Indemnification Fund Models

Asiatic citrus canker is a disease that poses a significant hazard to commercial citrus production. This article examines spatiotemporal models of the risks of citrus canker transmission. Models evaluate risks and are used to price annual contracts, which would pay producers a prespecified indemnity in the event that their grove is found to be infected with canker. Implications for risk management policy are discussed.     

Impact of copula choice on the modeling of crop yield basis risk

A number of problems in agricultural economics involve modeling joint distributions for which the assumption of multivariate normality may not be warranted. Yet, very little work has been conducted evaluating competing methods for modeling joint dependence. We develop a simulation framework to evaluate the bias and efficiency impacts of copula choice in the context of evaluating county‐to‐farm basis risk. The results suggest significant differences in performance across various copulas and approaches. The findings have important implications for risk analysis, insurance, and policy modeling problems in agriculture regarding the selection of method to model dependence among random variables.     

Privatizing agriculture : Policy options in developing countries

This paper examines the background to, and options for, privatization of state-owned enterprises in the agricultural sector in developing countries. It identifies areas of the sector where privatization is feasible and those likely to remain under government control. It is concluded that, while there is some scope for privatization, it is unlikely to be as extensive as in other sectors since much of the production is already in private hands, there is limited capacity to pay for services and the capability of the private sector is currently low.     

Employment,labor supply and real wages in market disequilibrium

The purpose of this paper is to provide estimates of a disequilibrium labor market model which has been fitted to the US private non-farm sector and to the manufacturing sector. After examining the rationale of the ‘minimum’-type disequilibrium model, we reject it in favor of a formulation suggested by Chow. The latter provides not only a wage adjustment mechanism, but also a quantity adjustment mechanism and treats wages and quantities symmetrically. The empirical findings for both sectors support the disequilibrium formulation employed and reject the equilibrium hypothesis for the labor market.