Ekonometria 26/1

We present the latest issue of the journal Econometrics Ekonometria. Advances in Applied Data Analysis. This issue contains three articles. Aleksandar Vasiliev discusses a business-cycle model with cash and credit goods and a modified cash-in-advance feature. The author proposed to use their solutions for the Bulgarian economy based on data from 1999-2020. The main objective of the research by Barbara Dańska-Borysiak was to estimate the level of GDP and total factor productivity (TFP) in the poviats of the Łódzkie voivodship in the period 2002-2019. In the research a spatial panel data model estimated by the maximum likelihood method was applied. Mohamed Mehdi Hamri, Nadia Kadiri, Sanaà Dounya Mekki, and Abbes Rabhi discuss single functional index quantile regression for independent functional data under right-censoring. They present a non-parametrical estimation procedure of the quantiles of a conditional distribution based on the single-index model in the censorship model when the sample is considered as independent and identically distributed (i.i.d.) random variables.