A general Markov-Switching autoregressive conditional mean model, valued in the set of nonnegative numbers, is considered. The conditional distribution of this model is a finite mixture of nonnegative distributions whose conditional mean follows a GARCH-like dynamics with parameters depending on...

Many models in economics involve probabilistic choices where each decision-maker selects the best alternative from a finite set. Viewing the value of each alternative as a random variable, the analyst is then interested in the choice probabilities, that is, the probability for an alternative to...

The purpose of this paper was to apply the econometric models with qualitative variables in order to analyze two non academic behaviors at the level of the Romanian higher education system: cheating on the exams by copying or by direct or intermediary intervention at the professor.

There is an ostensible relationship between whether or not a nation is developed and the interpretation and collection of data in this nation. For instance, if a country is developing, it is difficult to collect figures, though much simpler to interpret them. The opposite is the case in a...

We consider the randomness of market trade as the origin of price and return stochasticity. We look at time series of trade values and volumes as random variables during the averaging interval Δ and describe the dependences of market-based volatilities of price and return on the volatilities...

We analyse the time evolution of the empirical cross-sectional distribution of firms profit and growth rates. In particular, we analyse the conditional properties of the empirical distributions depending on the size of the firms and business cycle phase. In order to do so, we employ the Laplace...

In this paper, we focus on the analysis of the drivers of LSTI ratio dynamics. Against this backdrop, we try to bridge this gap by introducing an average synthetic LSTI calculation and examine how various factors affect the LSTI ratio of borrowers that took out consumer and housing loans in...

Non-Gaussian state-space models arise in several applications, and within this framework the binary time series setting provides a relevant example. However, unlike for Gaussian state-space models — where filtering, predictive and smoothing distributions are available in closed form — binary...

This paper uses four ADF-type unit root tests and four KPSS-type stationarity tests to examine whether the gender unemployment gap would converge to zero in Africa. Among these different tests, the two most restricted models, namely the ADF test and the KPSS test, indicate no convergence in the...

The outcome of the US presidential election is one of the most significant events that impacts trade, investment, and geopolitical policies on the global stage. It also sets the direction of the world economy and global politics for the next few years. Hence, it is of prime importance not just...