In a transformation model $\by_t = c [\ba(\bx_t,\bbeta), \bu_t]$, where the errors $\bu_t$ are i.i.d and independent of the explanatory variables $\bx_t$, the parameters can be estimated by a pseudo-maximum likelihood (PML) method, that is, by using a misspecified distribution of the errors, but...

In this paper we show that the exchange rates of some commodity exporter countries have the ability to predict the price of spot and future contracts of aluminum. This is shown with both in-sample and out-of-sample analyses. The theoretical underpinning of these results relies on the...

The general objective of this contribution is that one to bring back the results of a study lead in the Italy territory relatively to the various elasticity regarding the price of determined olive oil producers and to estimate empirically a question system (using A.I.D.S. model). Moreover an...

This research is focused on randomized designs, two-stage experiments that first randomize treatment of a group, then investigate on the significant factors with economic perspective. It is attempted to map the potential outcomes framework with partial interference to a regression model with...

In this study, we compare the Hodrick-Prescott Filter technique concerning the Fractional filtering technique, which has recently started to be used in various applied sciences, i.e., physics, engineering, and biology. We apply these filtering techniques to the quarterly GDP data of Turkey,...

We analyze the threshold effects of income changes on CO2 emissions in a large sample of 95 countries, over the period 1980-2017. Our estimation uses a Panel Smooth Transition Regression (PSTR) and controls for urbanization, energy consumption and population. Results of the point estimates show...

The study investigates the determinants of total factor productivity in selected sectors of the Angolan economy for the period of 1995 and 2017. The empirical results indicate that foreign direct investment is positively and significantly associated with an increase in total factor productivity...

This paper applies nonparametric estimators to examine countries’ carbon dioxide (CO2) emissions and governance relationship. By using data for the time period 1996-2010 of the twenty largest economies (Group of twenty, G-20) the dynamics of the considered relationship are analyzed. Six...

Two volatility forecasting evaluation measures are considered; the squared one-day-ahead forecast error and its standardized version. The mean squared forecast error is the widely accepted evaluation function for the realized volatility forecasting accuracy. Additionally, we explore the...

Two volatility forecasting evaluation measures are considered; the squared one-day-ahead forecast error and its standardized version. The mean squared forecast error is the widely accepted evaluation function for the realized volatility forecasting accuracy. Additionally, we explore the...