This note points out to applied researchers what adjustments are needed to the coefficient estimates in a random effects probit model in order to make valid comparisons in terms of coefficient estimates and marginal effects across different specifications. These adjustments are necessary because of the normalisation that is used by standard software in order to facilitate easy estimation of the...

Marginal structural models (MSMs) allow estimation of effect modification by baseline covariates, but they are less useful for estimating effect modification by evolving time-varying covariates. Rather, structural nested models (SNMs) were specifically designed to estimate effect modification by time-varying covariates. In their paper, Petersen et al. (Am J Epidemiol 2007;000:000–00) describe h...

Trade-off reviews the rate of marginal substitution of inputs and outputs onto the efficient frontier. On the other hand, marginal rates of substitution (MRS) are important quantities for analysts and managers. In this paper, by changing the method of Asmild (2004), an algorithm is found that it can be used to calculate the marginal rate of the free disposal hull (FDH) model.

This article assesses the unilateral effects on prices of a merger in the Portuguese mobile telephony market. We use aggregate quarterly data from 1999 to 2005 and a nested logit model to estimate the price elasticities of demand and the marginal costs of subscription of mobile telephony. Given these estimates, we simulate the effects of the merger. We find that the available mobile telephony s...

Various themed streets have recently been developed by local governments in order to stimulate local economies and to establish the identity of the corresponding places. However, the motivations behind the development of some of these themed street projects has been based on profit, without full considerations of people’s perceptions of their local areas, resulting in marginal effects on the lo...

In this work, we approximate a diffusion process by its Euler scheme and we study the convergence of the density of the marginal laws. We improve previous estimates especially for small time.

Consider a finite number of variables Xn, n ∈ N, in the respective finite sets Xn. For R ⊆ N, we denote by XR the tuple of variables that takes values in the Cartesian product XR := ×r∈RXr. We denote by G (XR) the set of gambles on XR. Suppose DN ⊆ G (XN) models a subject’s beliefs about XN, Marginalisation. The corresponding beliefs about the variable XO, where O⊆ N, are given by the marginal ...

Consider a continuous random pair (X,Y ) whose dependence is characterized by an extreme-value copula with Pickands dependence function A. When the marginal distributions of X and Y are known, several consistent estimators of A are available. Most of them are variants of the estimators due to Pickands [Bull. Inst. Internat. Statist. 49 (1981) 859–878] and Capéraà, Fougères and Genest [Biometrik...

The magnitude of the interaction effect in nonlinear models does not equal the marginal effect of the interaction term, can be of opposite sign, and its statistical significance is not calculated by standard software. We present the correct way to estimate the magnitude and standard errors of the interaction effect in nonlinear models.  2003 Elsevier Science B.V. All rights reserved.