http://cirdjournals.com/index.php/psej/issue/feedProbability Statistics and Econometric Journal2022-09-09T08:57:06+00:00CIRD Publicationcontact@cirdjournals.comOpen Journal Systems<p>Probability Statistics and Econometric Journal (PSEJ) is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of applied statistics. PSEJ aims at promoting an interdisciplinary approach on a large range of topics covering applied methods for worldwide Socio-Economic phenomena. Probability Statistics and Econometric Journal Methods offers peer-reviewed original papers, reviews and survey articles focusing on statistical and econometric methods and dealing with the applications of existing or new techniques to a wide variety of problems in business, finance, economics and related subjects.</p>http://cirdjournals.com/index.php/psej/article/view/854TECHNICAL ASSESSMENT OF FINANCIAL TECHNOLOGIES IN NIGERIA2022-09-09T08:17:41+00:00Chukwuemeka Ifegwu Ekecontact@cird.onlineSule Magajicontact@cird.onlineMary Uchechukwu Osicontact@cird.online<p><em>This study employs a stochastic production function model to measure technical efficiency of FINTECHs via point of sales, POS and automated teller machines, ATM in Nigeria</em><em>. Primary data were obtained through the use of a set of questionnaires from three hundred and sixty representative samples. The results show that in Nigeria, (within the context of Nigeria’s socio-economic constraints) POS operations seem the most efficient in terms of technical efficiency with mean TE index of 0.914 followed by ATM service provision with a mean TE index of 0.797 (this result is in spite of the engineering efficiency claims. These coefficients are based on socio-economic realities) evaluations infused into the equation. The results of the inefficiency model show that the variables of age and years of education significantly increase these users’/operators’ TE while number of contacts made to FIs over transaction issues significantly decreases the FINTECHs’ TE. </em></p>2022-09-09T00:00:00+00:00Copyright (c) 2022 Probability Statistics and Econometric Journal