Qualitative longitudinal research (QLR) has grown in prominence and popularity since the 2007 themed section on subject this journal. This new reflects how QLR been mobilised made sense of recent times. article showcases QLR’s distinctive way knowing understanding social world it can illuminate processes through which policy enhance, or indeed inhibit, well-being individuals groups within socie...

This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply the technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] to obtain exact tests based on standard LR and LM zero correlation tests. We also suggest a MC quasi-LR ...

This paper analyzes the properties of a class of estimators, tests, and con…dence sets (CS’s) when the parameters are not identi…ed in parts of the parameter space. Speci…cally, we consider estimator criterion functions that are sample averages and are smooth functions of a parameter : This includes log likelihood, quasi-log likelihood, and least squares criterion functions. We determine the as...

High-performance frame communication networks including VDSL have been conceived to carry traffic sources and support a continuum of transport rates ranging from low bit-rate to high bit-rate traffic. As a number of telecommunications traffic (bursty traffic) fluctuates on a certain network it results in congestion. The traditional policing mechanisms are finite-sized buffers with queue managem...

Problem statement: A mobile ad hoc network is a self-configuring network of mobile nodes connected by wireless links. As the nodes are free to move randomly, topology of the network may change rapidly and unpredictably. As a result, intermediate nodes in the communication routes tend to lose connection with each other during the communication process. In order to repair a broken link, an end-to...

This paper reviews recent advances in estimation and inference for nonparametric and semiparametric models with endogeneity. It first describes methods of sieves and penalization for estimating unknown functions identified via conditional moment restrictions. Examples include nonparametric instrumental variables regression (NPIV), nonparametric quantile IV regression and many more semi-nonparam...