We analyze a model of wage payment practices in which strategic complementarities arise because each employer’s costs of delaying wages decrease with the arrears in its labor market. The model is estimated on panel data for workers and firms in Russia, facilitating identification through fixed effects for employees, employers, and local labor markets, and instrumental variables based on policy ...

In sports literature and reporting the ‘contract-year effect’ has been treated as anything ranging from an old wives tale to a well-established fact. We note many instances of players’ play falling off after landing a huge contract. In this paper we analyze the effect of being in the final year of the contract on player performance (as measured by the NBA efficiency index and using PER rating f...

This paper investigates the UK wage curve using longitudinal micro data drawn from the first eight waves of the British Household Panel Survey (BHPS). We estimate a fixed-effects model that controls for observed and unobserved individual-specific heterogeneity. Our results suggest that there is evidence of a negative relationship in wage-unemployment space. The estimated unemployment elasticity...

This paper is concerned with the empirical relationship between biodiversity conservation values and income. We use random effects panel models to examine the effects of income, and thenGDP per capita, on willingness to pay for habitat and biodiversity conservation. In a meta-analysis, 145 Willingness To Pay estimates for biodiversity conservation where existence value plays a major role were c...

This paper presents a convenient shortcut method for implementing the Heckman estimator of the dynamic random effects probit model and other dynamic nonlinear panel data models using standard software. It then compares the estimators proposed by Heckman, Orme and Wooldridge, based on three alternative approximations, first in an empirical model for the probability of unemployment and then in a ...

This paper presents a nonlinear analytical model for micromechanical silicon ring resonators with bulk-mode vibrations. A distributed element model has been developed to describe the dynamic behavior of the micromechanical ring resonator. This model shows the nonlinear effects in a silicon ring resonator focusing on the effect of large amplitudes around the resonance frequency, material and ele...

Least-squares variance component estimation (LS-VCE) is a simple, flexible and attractive method for the estimation of unknown variance and covariance components. LS-VCE is simple because it is based on the well-known principle of LS; it is flexible because it works with a userdefined weight matrix; and it is attractive because it allows one to directly apply the existing body of knowledge of L...

Received analyses based on stochastic frontier modeling with panel data have relied primarily on results from traditional linear fixed and random effects models. This paper examines several extensions of these models that employ nonlinear techniques. The fixed effects model is extended to the stochastic frontier model using results that specifically employ the nonlinear specification. Based on ...

This study investigates the association between the ownership structure of a firm and the accuracy of individual one-year-ahead earnings forecasts made by UK analysts. The relationship is explored in the presence of individual analyst and firm-specific characteristics using a research-tailored dataset comprising 11,659 individual analysts’ forecasts made over the period, 1996 to 2001. To addres...

Using clickstream panel data from an automobile ad campaign conducted on a mobile platform, we investigate the relevance of mobile advertising, the interrelationships between ad content, information search behavior, and advertising response. Temporally, we compare mobile users' search behavior and advertising response before and during a focal campaign event of an automobile show. Spatially, we...