In this paper, we introduce a new fragment of the rst-order temporal language, called the monodic fragment, in which all formulas beginning with a temporal operator (Since or Until) have at most one free variable. We show that the satissability problem for monodic formulas in various linear time structures can be reduced to the satissability problem for a certain fragment of classical rst-order...

This paper reviews the recent developments in nonparametric identification of measurement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to an observed distribution. The identification and estimation of measurement error models focus on h...

We study the structural identification of causal effects with conditioning instruments within the settable system framework. In particular, we provide causal and predictive conditions sufficient for conditional exogeneity to hold. We provide two procedures based on “exclusive of A” (~A)-causality matrices and the direct causality matrix for inferring conditional causal isolation among vectors o...

Education is strongly related to participation in the Social Security Disability Insurance (DI) program. To explore this relationship, we describe the correlation between education and DI participation, and then explore how four factors related to education – health, wealth, occupation, and employment –feature in this correlation. We label these four factors “pathway” variables. We find that a ...

Wavelet analysis, although used extensively in many areas of applied sciences, has not yet fully entered the economics discipline, even if many economic processes are the result of the actions of several agents who simultaneously operate at different horizons and/or have different term objectives. Wavelets provide a unique decomposition of time series observations that enable one to decompose t...

We study generalized varying coefficient partially linearmodels when some linear covariates are error prone, but their ancillary variables are available. We first calibrate the error-prone covariates, then develop a quasi-likelihood-based estimation procedure. To select significant variables in the parametric part, we develop a penalized quasi-likelihood variable selection procedure, and the re...

The paper objective is to apply Technology Acceptance Model (TAM)-based usage and attitude variables for the predictive user segmentation of Moodle-based e-learning system in a university. The study explores the path models with latent variables estimated by partial least squares method (SmartPLS and plspm library of the R package were used for the parameter estimation) and uses the mixture mod...

We appraise the theoretical basis and the consequent empirical work of Frank Wolak in his study of the New Zealand Electricity Market in a report to the New Zealand Commerce Commission released in March 2009. The report found no multilateral actions, but concluded there was evidence of unilateral market power. We find that the theoretical and empirical methodologies employed to reach this posit...