Screening‐oriented recruitment messages: Antecedents and relationships with applicant pool quality

The ability of firms to attract qualified job applicants is a critical component of the human resource management process. However, while a large body of research has examined the relationship between firm recruitment practices and applicant pool attributes, very little research has investigated what factors are associated with organizational decision makers' utilization of specific recruitment tactics. We draw on labor economics, sociological, and agency theoretical perspectives to make predictions regarding the use of screening‐oriented recruitment messages in actual web‐based job advertisements. Results suggest that perceptions of labor supply, recruiting firm reputation, and the use of quality‐based compensation incentives are associated with use of screening‐oriented messages, which in turn are associated with applicant pool quality. These findings hold important theoretical insights into the factors shaping firm recruitment activity and provide practical strategic implications for managing firm recruitment objectives. © 2012 Wiley Periodicals, Inc.     

Managerial Bonus Systems in a Differentiated Duopoly: A Comment

A differentiated Cournot duopoly is considered where firm owners delegate the output decision to a manager, who is rewarded on the basis of his performance. If this performance is measured in terms of (i) pure profits, (ii) a combination of profits and sales, (iii) a combination of profits and market share or (iv) relative profits, the latter option strictly dominates the others if the products are perfect substitutes. Recently it was claimed that this result does not hold for all levels of product substitutability. In this comment, we show however that this result is robust against the introduction of product differentiation. Copyright © 2011 John Wiley & Sons, Ltd.     

Good timing: The economics of optimal stopping

This paper presents an economic interpretation of the optimal “stopping” of perpetual project opportunities under both certainty and uncertainty. Prior to stopping, the expected rate of return from delay exceeds the rate of interest. The expected rate of return from delay is the sum of the expected rate of change in project value and the expected rate of change in the option premium associated with waiting. At stopping the expected rate of return from delay has fallen to the rate of interest. Viewing stopping in this way unifies the theoretical and practical insights of the theory of stopping under certainty and uncertainty.     

Estimation of market power in the presence of firm level inefficiencies

“The quiet life hypothesis” (QLH) by Hicks (1935) argues that, due to management’s subjective cost of reaching optimal profits, firms use their market power to allow inefficient allocation of resources. Increasing competitive pressure is therefore likely to force management to work harder to reach optimal profits. Another hypothesis, which also relates market power to efficiency is “the efficient structure hypothesis” (ESH) by Demsetz (1973). ESH argues that firms with superior efficiencies or technologies have lower costs and therefore higher profits. These firms are assumed to gain larger market shares which lead to higher concentration. Ignoring the efficiency levels of the firms in a market power model might cause both estimation and interpretation problems. Unfortunately, the literature on market power measurement largely ignores this relationship. In the context of a dynamic setting, we estimate the market power of US airlines in two city-pairs by both allowing inefficiencies of the firms and not allowing inefficiencies of the firms. Using industry level cost data, we estimate the cost function parameters and time-varying efficiencies. An instrumental variables version of the square root Kalman filter is used to estimate time-varying conduct parameters.     

Sieve estimation of panel data models with cross section dependence

In this paper we consider the problem of estimating semiparametric panel data models with cross section dependence, where the individual-specific regressors enter the model nonparametrically whereas the common factors enter the model linearly. We consider both heterogeneous and homogeneous regression relationships when both the time and cross-section dimensions are large. We propose sieve estimators for the nonparametric regression functions by extending Pesaran’s (2006) common correlated effect (CCE) estimator to our semiparametric framework. Asymptotic normal distributions for the proposed estimators are derived and asymptotic variance estimators are provided. Monte Carlo simulations indicate that our estimators perform well in finite samples.     

Identification and estimation of Gaussian affine term structure models

This paper develops new results for identification and estimation of Gaussian affine term structure models. We establish that three popular canonical representations are unidentified, and demonstrate how unidentified regions can complicate numerical optimization. A separate contribution of the paper is the proposal of minimum-chi-square estimation as an alternative to MLE. We show that, although it is asymptotically equivalent to MLE, it can be much easier to compute. In some cases, MCSE allows researchers to recognize with certainty whether a given estimate represents a global maximum of the likelihood function and makes feasible the computation of small-sample standard errors.     

Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration

Yu et al. (2008) establish asymptotic properties of quasi-maximum likelihood estimators for a stable spatial dynamic panel model with fixed effects when both the number of individuals n and the number of time periods T are large. This paper investigates unstable cases where there are unit roots generated by temporal and spatial correlations. We focus on the spatial cointegration model where some eigenvalues of the data generating process are equal to 1 and the outcomes of spatial units are cointegrated as in a vector autoregressive system. The asymptotics of the QML estimators are developed by reparameterization, and bias correction for the estimators is proposed. We also consider the 2SLS and GMM estimations when T could be small.