The time-series approach used in the minimum wage literature essentially aims to estimate a treatment effect of increasing the minimum wage. In this paper, we employ a novel approach based on aggregate time-series data that allows us to determine if minimum wage changes have significant effects...

Doğrusal olmayan yapıdaki iktisadi değişkenler uzun yıllar doğrusal modeller araçları ile analiz edilmiş bu nedenle de gerçek hayatı açıklamada yetersiz kalmıştır. Son dönemde yapılan çalışmalar sonucunda doğrusal olmayan zaman serileri analizlerinin özellikle makro...

Nonlinear economic variables have been tested for many years with linear models, thus making them insufficient in providing an explanation for real life. As a result of the recently conducted studies, nonlinear time series analyses are observed to be more successful in forming especially the...

The time-series approach used in the minimum wage literature essentially aims to estimate a treatment effect of increasing the minimum wage. In this paper, we employ a novel approach based on aggregate time-series data that allows us to determine if minimum wage changes have significant effects...

The time-series approach used in the minimum wage literature essentially aims to estimate a treatment effect of increasing the minimum wage. In this paper, we employ a novel approach based on aggregate time-series data that allows us to determine if minimum wage changes have significant effects...

The paper consists of two parts devoted to the cause-effect dynamic models. In each part of the deterministic properties of the dynamic version of the model are presented. Thus, each of the considered dynamic models can be presented in the form of an equivalent for it the switching trend....

Using time series techniques, we contrast the impact of deregulation in trucking and rail labor markets. During regulation both labor markets were characterized by wages considerably higher than manufacturing wages. In fact, trucking and rail wages had a stable, deterministic relationship prior...

We provide a detailed discussion of the time series modelling of daily tax revenues. The mainfeature of daily tax revenue series is the pattern within calendar months. Standard seasonal timeseries techniques cannot be used since the number of banking days per calendar month varies andbecause...