Title:	A Monte Carlo method simulation of the European funds that can be accessed by Romania in 2014-2020
Authors:	Săvoiu, Gheorghe Burtescu, Emil Dinu, Vasile Tudoroiu, Ligian
Citation:	E+M. Ekonomie a Management = Economics and Management. 2017, č. 3, s. 19-35.
Issue Date:	2017
Publisher:	Technická univerzita v Liberci
Document type:	článek article
URI:	www.ekonomie-management.cz/download/1507051166_5de4/02_A+MONTE+CARLO+METHOD+SIMULATION.pdf http://hdl.handle.net/11025/26305
ISSN:	2336-5604 (Online) 1212-3609 (Print)
Keywords:	simulace;Monte Carlo;evropské fondy;současná míra vstřebávání;skutečná sazba;příjmy
Keywords in different language:	simulation;Monte Carlo;European funds;current absorption rate;actual rate;revenues
Abstract in different language:	The authors dealt with fi nding some relevant simulation solutions for the value of the European funds that can be accessed by Romania in the second budget cycle (2014-2020) of the European Union (EU), in which the national economy is participating after the 2007 accession. The article presents, in a brief conceptual introduction, the option for simulation, not only as economical and statistical alternative but also as conceptual and technical method, followed by an analysis section for the EU funds accessed by Romania in the 2007-2013 fi nancial period and in the fi rst three years of 2014-2020 fi nancial period, with a role in generating hypotheses and scenarios of a type of modelling the process of accessing and specifi c absorption (including all types of rates, from the current absorption rate to the actual rate, with revenue in advance, etc.). A methodology section describes the rationale for selecting the method of simulation as Monte Carlo, and also the main hypotheses, detailed scenarios and integrated characteristic variables. The scenario-making eventually shaped three options by combining criteria of stability/instability, nuanced by optimistic/ pessimistic type scenarios. The analysis of the variables described by a probability distribution was conducted statistically on several types of samples simulated by the Monte Carlo method, from 100 draws to 200; 300; 400; and fi nally 500 and 1,000 draws. A presentation of the fi nal simulation results and a number of major comments regarding their calibration, confrontation, clarity and statistical analysis, together with some fi nal remarks as conclusions, limitations and perspectives, end the research approach.
Rights:	© Technická univerzita v Liberci CC BY-NC 4.0
Appears in Collections:	Číslo 3 (2017) Číslo 3 (2017)

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