A duration analysis of privatization in the telecom sector

The paper attempts to identify the telecom-sector performance indicators, relevant economic variables, and institutional characteristics of a country that effect the process of privatization of state-owned telecom enterprises. Using standard duration analysis of a panel data, we demonstrate that the privatization incentives are not only shaped by the mobility of financial capital in a country but are also influenced by the degree of competitiveness of private sector participation in policy-making process. The empirical results also reveal the significant impact of productive efficiency in telecom service provision on its course to privatization. We thank an anonymous referee for helpful comments and suggestions. We are solely responsible for all mistakes.     

Taxation of Mobile Factors as Insurance under Uncertainty

This paper considers the effects of the taxation of mobile factors, i.e., capital, under uncertainty. The wages earned by residents of a jurisdiction are uncertain due to random shocks. Since the uncertain wages in a jurisdiction depend on the amount of mobile capital employed in the jurisdiction, and since taxation alters the quantity of capital employed, taxation affects the riskiness of uncertain wages. In particular, the taxation of capital moderates the fluctuation of uncertain wages, thereby providing insurance. For this reason, jurisdictions use distortionary capital taxation even if lump‐sum taxation is available. In addition, this insurance effect counteracts the tendency toward too low tax rates on capital arising from tax competition, and possibly improves the efficiency of tax competition.     

Entry deterrence and innovation in durable-goods monopoly

This paper investigates the efficiency of innovation investments in a durable-goods monopoly when a potential entrant threatens to innovate as well. We show that the durability of the good endows the monopolist with the power to discourage rival innovation since current sales alter the demand for a new generation of the good. The equilibrium is therefore determined not only by the incentive for intertemporal price discrimination in durable-goods monopoly, but also by the incumbent's concern for maintaining the technological leadership. We demonstrate that entry deterrence followed by no innovation always implies underinvestment in innovation.     

A review and validation of overall survival extrapolation in health technology assessments of cancer immunotherapy by the National Institute for Health and Care Excellence: how did the initial best estimate compare to trial data subsequently made available?

Background: Validation of overall survival (OS) extrapolations of immune-checkpoint inhibitors (ICIs) during the National Institute for Health and Care Excellence (NICE) Single Technology Assessment (STA) process is limited due to data still maturing at the time of submission. Inaccurate extrapolation may lead to inappropriate decision-making. The availability of more mature trial data facilitates a retrospective analysis of the plausibility and validity of initial extrapolations. This study compares these extrapolations to subsequently available longer-term data.

Methods: A systematic search of completed NICE appraisals of ICIs from March 2000 to December 2017 was performed. A targeted search was also undertaken to procure published OS data from the pivotal clinical trials for each identified STA made available post-submission to NICE. Initial Kaplan-Meier curves and associated extrapolations from NICE documentation were extracted to compare the accuracy of OS projections versus the most mature data.

Results: The review identified 11 STAs, of which 10 provided OS data upon submission to NICE. The extrapolations undertaken considered parametric or piecewise survival models. Additional data cut-offs provided a mean of 18 months of OS beyond the end of the original data. Initial extrapolations typically under-estimated OS from the most mature data cut-off by 0.4–2.7%, depending on the choice of assessment method and use of the manufacturer- or ERG-preferred extrapolation.

Conclusion: Long-term extrapolation of OS is required for NICE STAs based on initial immature OS data. The results of this study demonstrate that the initial OS extrapolations employed by manufacturers and ERGs generally predicted OS reasonably well when compared to more mature data (when available), although on average they appeared to underestimate OS. This review and validation shows that, while the choice of OS extrapolation is uncertain, the methods adopted are generally aligned with later-published follow-up data and appear appropriate for informing HTA decisions.     

Modeling an HR shared services center: Experience of an MNC in the United Kingdom

An increasing number of large and multinational organizations are moving to shared services models in delivering the human resource function. It is commonly believed that the adoption of an HR shared services model can transform the role of HR by enabling the HR function to be more strategic at the corporate level and more cost‐effective at the operational level. However, few academic studies have been carried out to investigate challenges to implementing an HR services center successfully and the impact of adopting an HR shared services model on different groups of employees. Through a case study of a multinational corporation, this article reveals that there remains a significant gap between literature espousing the efficacy and utility of HR shared services and the extent to which the adoption of such a model is successful. The financial and emotional cost of moving to a shared services model can outweigh the tangible cost savings predicted by firms. The idea of separating the HR function into strategic, operational, and administrative components may prove to be too simplistic, although it underpins the initiative of HR shared services. © 2006 Wiley Periodicals, Inc.     

Why do reits engage in open-market repurchases?

We investigate why real estate investment trusts (REITs) still engage in open-market repurchases given the unique 95 percent payout requirement. We provide evidence that the motivations for REITs to repurchase stocks are different from those of unregulated firms found by the existing literature. Instead of using funds from operations, REITs appear to finance stock repurchases by issuing new debt and/or selling assets and investments. Unlike ordinary corporations, REITs stock repurchases are not motivated by cash distribution, capital structure, and undervalued equity. However, REITs are more likely to buy back stocks when employees own a higher level of stock options. Also, we find that REITs are more likely to buy back stocks when they have a higher institutional ownership and/or inside ownership.     

Endogeneity in quantile regression models: A control function approach

This paper considers a linear triangular simultaneous equations model with conditional quantile restrictions. The paper adjusts for endogeneity by adopting a control function approach and presents a simple two-step estimator that exploits the partially linear structure of the model. The first step consists of estimation of the residuals of the reduced-form equation for the endogenous explanatory variable. The second step is series estimation of the primary equation with the reduced-form residual included nonparametrically as an additional explanatory variable. This paper imposes no functional form restrictions on the stochastic relationship between the reduced-form residual and the disturbance term in the primary equation conditional on observable explanatory variables. The paper presents regularity conditions for consistency and asymptotic normality of the two-step estimator. In addition, the paper provides some discussions on related estimation methods in the literature.     

This is what the leading indicators lead

We propose an optimal filter to transform the Conference Board Composite Leading Index (CLI) into recession probabilities in the US economy. We also analyse the CLI's accuracy at anticipating US output growth. We compare the predictive performance of linear, VAR extensions of smooth transition regression and switching regimes, probit, non‐parametric models and conclude that a combination of the switching regimes and non‐parametric forecasts is the best strategy at predicting both the NBER business cycle schedule and GDP growth. This confirms the usefulness of CLI, even in a real‐time analysis. Copyright © 2002 John Wiley & Sons, Ltd.     

Restricted maximum likelihood estimation under Eisenhart model Ill

For a balanced two-way mixed model, the maximum likelihood (ML) and restricted ML (REML) estimators of the variance components were obtained and compared under the non-negativity requirements of the variance components by L ee and K apadia (1984). In this note, for a mixed (random blocks) incomplete block model, explicit forms for the REML estimators of variance components are obtained. They are always non-negative and have smaller mean squared error (MSE) than the analysis of variance (AOV) estimators. The asymptotic sampling variances of the maximum likelihood (ML) estimators and the REML estimators are compared and the balanced incomplete block design (BIBD) is considered as a special case. The ML estimators are shown to have smaller asymptotic variances than the REML estimators, but a numerical result in the randomized complete block design (RCBD) demonstrated that the performances of the REML and ML estimators are not much different in the MSE sense.     

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.