Measurement error and panel data1

The underidentification of linear models with measurement error does not necessarily extend to panel data models, as has been shown by GAiliches and Hausman (1986). We discuss and extend some of their results for a simple case and address particular issues concerning identification and asymptotic variances.     

Performance lies are hazardous to organizational health

Performance lies arise both from individual and from situational causes, but in this article, the attention is on situational causes. These are generally triggered by loyalty to the coalition, which is expressed through the continued use of performance lies. Because performance lies help create a boundary around the coalition that insulates its activities from top management, performance lies enable members of the coalition to exercise a greater degree of internal control. Naturally, such lies are dysfunctional, resulting in the avoidance of difficult issues and problems and compromising the organization's ability to adapt to a changing environment based on accurate information.     

The timing of residential land development: A general equilibrium approach

A formal model of the development process is constructed in order to arrive at a better understanding of the land development process, the change in land prices over time, and the effects of public policy on these variables. The relationship between the rate of interest and the rate of price appreciation on land is shown to depend upon development costs, agricultural opportunity costs, market structure, and the level of Ricardian rents on land. The effects of a land tax and a capital gains tax on the rate of development are also analyzed.     

OR vice: Forecasting and classification techniques for narcotics interdiction

Counternarcotics interdiction efforts have traditionally relied on historically determined sorting criteria or “best guess” to find and classify suspected smuggling traffic. We present a more quantitative approach which incorporates customized database applications, graphics software and statistical modeling techniques to develop forecasting and classification models. Preliminary results show that statistical methodology can improve interdiction rates and reduce forecast error. The idea of predictive modeling is thus gaining support in the counterdrug community. The problem is divided into sea, air and land forecasting, only part of which will be addressed here. The maritime problem is solved using multiple regression in lieu of multivariate time series. This model predicts illegal boat counts by behavior and geographic region. We developed support software to present the forecasts and to automate the process of performing periodic model updates. During the period, the model was in use at. Coast Guard Headquarters. Because of deterrence provided by improved intervention, the vessel seizure rate declined from 1 every 36 hours to 1 every 6 months. Due in part to the success of the sea model, the maritime movement of marijuana has ceased to be a major threat. The air problem is more complex, and required us to locally design data collection and display software. Intelligence analysts are using a customized relational database application with a map overlay to perform visual pattern recognition of smuggling routes. We are solving the modeling portion of the air problem using multiple regression for regional forecasts of traffic density, and discriminant analysis to develop tactical models that classify “good guys” and “bad guys”. The air models are still under development, but we discuss some modeling considerations and preliminary results. The land problem is even more difficult, and data collection is still in progress.     

Executive Stock Ownership After the Acquisition

How does a company, buying another company, replace the acquired company's executive stock options? This article details what companies are doing and examines the advantages and disadvantages of replacing these options. The authors propose that the success or failure of an acquisition can hinge on the resolution of these issues.     

Education and wages in the Czech and Slovak Republics during transition

An employer-based sample of over 400,000 Czech and 125,000 Slovak men is used to estimate the benefits of education in 1995–1997. By 1997, education of all types had become substantially more highly rewarded in both countries than it was either under communism or in the early years of the transition. Education's value began increasing earlier and reached a higher level in the Czech Republic than in Slovakia. Increases in the value of education were especially pronounced for types of education ideologically disfavored by communism.