Eralda Gjika
ABSTRACT
During the last decade the banking system in Albania has been affected by deep changes in the evolution of the number of automated teller machines (ATM) and points-of-sale (POS). The growing prospect of using cards as a payment instrument has been noted since 2004 when the first data are being recorded and published. The aims of this study are twofold: to examine the impact of some indicators which may affect the evolution of the number of ATM and POS in Albania and to forecast ATM and POS diffusion rates over time. In our analysis we have taken into consideration yearly data (from 2005-2016) of some indicators which may influence the ATM and POS diffusion. Regarding their nature, we have organized these variables in five subgroups (economic, banking, energy, technology and demography). In the first part of the study, a performance evaluation is performed on the proposed models and followed by a discussion on significant indicators. The best model selected is then used in the second part to forecast the diffusion of the ATMs and POS terminals in the upcoming years. We found that some key indicators are significant to the evolution of ATMs and POS, on the other side technological development indicators have no impact on the progress of the number of ATMs and POS in Albania. The results of this study are important for the banking system and policymakers to evaluate the diffusion of automatic teller machine and to predict the future evolution of automatic payments in Albania as a measure of economic progress and demand for currency.
- https://www.bankofalbania.org/rc/doc/eng_RV_2017_11826.pdfGoogle Scholar
- http://www.instat.gov.al/al/publikime/Google Scholar
- https://www.association-secure-transactions.eu/industry-information/pos-terminal-numbers-europe/Google Scholar
- https://www.ecb.europa.eu/stats/html/index.en.htmlGoogle Scholar
- Kalluci E., Dhamo (Gjika) E., 2015 Difference equations and time series analysis in approximating the index prices (for Albania), Journal of Multidisciplinary Engineering Science and Technology (JMEST) ISSN: 3159-0040, Vol. 2 Issue 4, April - 2015.http://www.jmest.org/wp-content/uploads/JMESTN42350659.pdfGoogle Scholar
- Dhamo (Gjika) E., Zacaj O., Gjecka A. 2016 Projeksioni i indeksit të çmimeve të konsumit nëpërmjet metodave të serive kohore ((Rasti i Shqiperise) (Eng: Projection of CPI index using tiime series methods (Albania case study). Buletini i Shkencave te Natyres, ISSN 2305-882X, Vol. 22, 2016, pg. 138--147. http://www.fshn.edu.al/home/botimi-nr-22-viti-2016Google Scholar
- Gjika E., Puka Ll., Zaçaj O., 2018 Forecasting Consumer Price Index (CPI) using time series models and multi regression models (Albania case study), 10th International Scientific Conference Business and Management 2018", Vilnius Gediminas Technical University, May 3--4, 2018.Google ScholarCross Ref
- http://aab.al/rreth-nesh/statistika/perpunim-i-te-dhenave/Google Scholar
- Braimllari A., Mezini E. Modeling and forecasting the diffusion of ATM/POS terminals and debit/credit cards in Albania", International Conference 'Recent Trends and Applications in Computer Science and Information Technology' RTA-CSIT, November 23-24, 2018. http://rtacsit.fshn.edu.al/home-1Google Scholar
- Concato J, Peduzzi P, Holfold TR, et al. 1995 Importance of events per independent variable in proportional hazards analysis. I. Background, goals, and general strategy. J Clin Epidemiol 1995;48:1495--501.Google Scholar
- Peduzzi P, Concato J, Feinstein AR, et al. 1995 Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. J Clin Epidemiol 1995;48:1503--10.Google Scholar
- Peduzzi P, Concato J, Kemper E, et al. 1996 A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 1996;49:1373--9.Google Scholar
- M. Babyak. 2004 What You See May Not be What You Get: A Brief Introduction to Overfitting in Regression Type Models. Psychosomatic Medicine, 66(3):411--421, 2004. Doi: 0033-3174/04/6603-0411Google Scholar
- Eric Vittinghoff, Charles E. McCulloch 2007 Relaxing the Rule of Ten Events per Variable in Logistic and Cox Regression, American Journal of Epidemiology, Volume 165, Issue 6, 15 March 2007, Pages 710--718.Google Scholar
- Derksen S, Keselman HJ. 1992 Backward, forward and stepwise automated subset selection algorithms: frequency of obtaining authentic and noise variables. Br J Math Stat Psychol 1992;45:265--82.Google Scholar
- Steyerberg, E. W., C., M. J., Harrell, F. E., & Dik F., J. 2001. Prognostic Modeling with Logistic Regression Analysis: In Search of a Sensible Strategy in Small Data Sets. Medical Decision Making, 21(1), 45--56.Google ScholarCross Ref
- O'Brien R.M., 2007 A caution regarding rules of thumb for variance inflation factors, Quality & Quantity, Springer, vol.41, pp. 673--690, 2007.Google Scholar
- Hyndman, R. J., & Khandakar, Y. 2008 Automatic time series forecasting: The forecast package for R, Monash University. Journal of Statistical Software, 27(3). Retrieved from http://www.jstatsoft.org.Google Scholar
- Shumway, R. H., & Stoffer, D. S. 2011. Time series analysis and its applications With R examples (Third edition). Springer Science+Business Media, LLC 2011.Google ScholarCross Ref
Index Terms
- ATMs and POS Diffusion: An Econometric Model Albania case study
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