In this paper we merge techniques from the efficiency literature with spatial econometric techniques. In particular, we combine calculation of efficiency from the unit speci c effects with the spatial lag model to develop a spatial autoregressive frontier model for panel data. Features of the...

This paper employs a comprehensive set of “state-of-the-art” unit root tests, including the autoregressive neural network (ARNN) unit root test (Yaya et al. 2021; Oxford Bulletin of Economics and Statistics), to investigate unemployment hysteresis in five European countries: France, Italy, the...

The aim of the study is to introduce some approach which might help in improving daily temperature of data. Weather is a natural a phenomenon for which forecasting is a great challenge today. Weather parameters such as Rainfall, Relative Humidity , Wind Speed, Air Temperature are highly...

Given a countable structure , we define the degree spectrum of to be the set of all enumeration degrees generated by the presentations of on the natural numbers. The co-spectrum of is the set of all lower bounds of . We prove some general properties of the degree spectra which show that they...

This paper builds an unobserved components model that combines a multivariate filter approach with a Cobb-Douglas production function. This combination allows potential output estimates to incorporate more economic structure than the traditional production function approach, while retaining the...