In this paper, we investigate the relationship between economic output, labour and capital in the Visegrád Four, Austria and Germany. The main objective is to determine the type of technological progress in these countries over time, specifically in the period 1995-2015. The Sato production...

Data Envelopment Analysis (DEA), a nonparametric mathematical programming approach to productive efficiency analysis, envelops all observed data. In this paper we show that DEA can be interpreted as nonparametric least squares regression subject to shape constraints on frontier and sign...

Purpose Structural equation modeling (SEM) depicts one of the most salient research methods across a variety of disciplines, including hospitality management. Although for many researchers, SEM is equivalent to carrying out covariance-based SEM, recent research advocates the use of partial least...

This paper considers the problem of testing for structural changes in the trend function of a univariate time series without any prior knowledge as to whether the noise component is stationary or contains an autoregressive unit root. We propose a new approach that builds on the work of Perron...

This paper looks at the strong consistency of the ordinary least squares (OLS) estimator in a stereotypical macroeconomic model with adaptive learning. It is a companion to Christopeit & Massmann (2017, Econometric Theory) which considers the estimator's convergence in distribution and its weak...

Nous présentons ici une extension de la méthode PLS, l'ACIMO-PLS, permettant de modéliser «globalement» un ensemble de tableaux de données mesurés sur les mêmes individus. L'optimisation du critère proposé revient à la résolution de PLS traditionnel, mais engendre des objets et aides...

Participation in social programs is often misreported in survey data, complicating the estimation of the effects of those programs. In this paper, we propose a model to estimate treatment effects under endogenous participation and endogenous misreporting. We show that failure to account for...

Least square method has been using in each domain of science and technology, but only suitable for equal precision data—because the evaluation is on the basis of the roughly the same absolute error. Yet most data of science research and observation are often evaluated according to the relative...

The Bartik instrument is formed by interacting local industry shares and national industry growth rates. We show that the typical use of a Bartik instrument assumes a pooled exposure research design, where the shares measure differential exposure to common shocks, and identification is based on...

The paper proposes a new robust estimator for GARCH-type models: the nonlinear iterative least squares (NL-ILS). This estimator is especially useful on specifications where errors have some degree of dependence over time (weak-GARCH) or when the conditional variance is misspecified. I illustrate...