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Academic literature on the topic 'Demand for money Econometric models'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Demand for money Econometric models"

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MILBOURNE, ROSS. "DISTINGUISHING BETWEEN AUSTRALIAN DEMAND FOR MONEY MODELS." Australian Economic Papers 24, no. 44 (June 1985): 154–68. http://dx.doi.org/10.1111/j.1467-8454.1985.tb00102.x.

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Amadhila, Elina, and Sylvanus Ikhide. "Unfulfilled loan demand among agro SMEs in Namibia." South African Journal of Economic and Management Sciences 19, no. 2 (May 13, 2016): 264–81. http://dx.doi.org/10.4102/sajems.v19i2.1398.

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Using a qualitative methodology approach, a case study research design by way of in-depth semi-structured interview(s) was followed to interview farmers, commercial banks, development banks, venture capitals and private equities to determine the financing options available for farmers and provide reasons why some financial institutions shy away from providing finance to agricultural enterprises. This study deviates from prior studies which have focused on small-scale farmers and subjected farmers’ access to finance to rural credit markets, mostly informal money lenders using secondary information mostly from household surveys to build econometric models. The study indicates that only about 33 percent of formal financial institutions are providing finance to agricultural SMEs. The lack of expertise and perception of risk were cited as top reasons why formal financial institutions find it hard to provide finance to agricultural SMEs. Building on opinions from other authors cited in this paper, we maintain that new financing mechanisms can be achieved by all types of financial institutions through learning from experiences by other successful countries.
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Aschheim, Joseph, and George S. Tavlas. "Inconsistency in correcting for serial correlation in money-demand models." Atlantic Economic Journal 15, no. 4 (December 1987): 16–21. http://dx.doi.org/10.1007/bf02304200.

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CUADRAS-MORATÓ, XAVIER, and RANDALL WRIGHT. "MONEY AS A MEDIUM OF EXCHANGE WHEN GOODS VARY BY SUPPLY AND DEMAND." Macroeconomic Dynamics 1, no. 4 (December 1997): 680–700. http://dx.doi.org/10.1017/s1365100597005026.

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Models of the exchange process based on search theory can be used to analyze the features of objects that make them more or less likely to emerge as money in equilibrium. These models illustrate the trade-off between endogenous acceptability (an equilibrium property) and intrinsic characteristics of goods, such as storability or recognizability. We look at how the relative supply and demand for various goods affect their likelihood of becoming money. Intuitively, goods in high demand and/or low supply are more likely to appear as commodity money, subject to the qualification that which object ends up circulating as a medium of exchange depends at least partly on convention. Welfare properties and fiat money are discussed.
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Nielsen, Heino Bohn. "Influential observations in cointegrated VAR models: Danish money demand 1973–2003." Econometrics Journal 11, no. 1 (March 2008): 39–57. http://dx.doi.org/10.1111/j.1368-423x.2007.00226.x.

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Sokic, Alexandre. "The Monetary Analysis of Hyperinflation and the Appropriate Specification of the Demand for Money." German Economic Review 13, no. 2 (May 1, 2012): 142–60. http://dx.doi.org/10.1111/j.1468-0475.2011.00543.x.

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Abstract This paper emerges from the failure of the traditional models of hyperinflation with perfect foresight. Insights from two standard optimizing monetary settings and economic reasoning from case studies of extreme hyperinflation episodes provide relevant requirements for the specification of the demand for money during hyperinflation. The paper demonstrates that the possibility of perfect foresight monetary hyperinflation paths depends robustly on the essentiality of money. The essentiality of money provides some depth of explanation of the reasons why the popular semi-log schedule of the demand for money is not appropriate for analysing monetary hyperinflation with perfect foresight. The paper proposes a simple test of money essentiality for the appropriate specification of the demand-for-money equation in empirical studies of hyperinflation.
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Puah, Chin-Hong, and Lee-Chea Hiew. "FINANCIAL LIBERALIZATION, WEIGHTED MONETARY AGGREGATES AND MONEY DEMAND IN INDONESIA." Labuan Bulletin of International Business and Finance (LBIBF) 8 (January 31, 2011): 76–93. http://dx.doi.org/10.51200/lbibf.v8i.2571.

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This study investigates the significance of Divisia monetary aggregates in formulating the monetary policy in Indonesia. A money demand function has been constructed to compare the relative performance for Simple-sum M1 and M2 (SSM1 and SSM2) and Divisia M1 and M2 (DM1 and DM2) monetary aggregates. The econometrics testing procedures that have been utilized in the estimation include unit root test, cointegration test, Vector Error Correction Model (VECM), Granger causality test and residual test. Empirical findings indicate that only DM1 model yields credible result amongst all of the money demand models. The obtained coefficients for DM1 model are consistent with a prior theoretical expectation and carry plausible magnitudes. The DM1 model is satisfactory as proven by the diagnostic tests. Divisia monetary aggregates are proven not only theoretical superior but also empirical valid as useful measurement of money for the case of Indonesia. The central bank of Indonesia may consider using Divisia monetary aggregates as the policy variables in formulating monetary policy.
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ESCRIBANO, ALVARO. "NONLINEAR ERROR CORRECTION: THE CASE OF MONEY DEMAND IN THE UNITED KINGDOM (1878–2000)." Macroeconomic Dynamics 8, no. 1 (January 30, 2004): 76–116. http://dx.doi.org/10.1017/s1365100503030013.

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This paper explores single-equation nonlinear error correction (NEC) models with linear and nonlinear cointegrated variables. Within the class of semiparametric NEC models, we use smoothing splines. Within the class of parametric models, we discuss the interesting properties of cubic polynomial NEC models and we show how they can be used to identify unknown threshold points in asymmetric models and to check the stability properties of the long-run equilibrium. A new class of rational polynomial NEC models is also introduced. We found multiple long-run money demand equilibria. The stability observed in the money-demand parameter estimates during more than a century, 1878 to 2000, is remarkable.
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Bohn, Henning. "On Cash-in-Advance Models of Money Demand and Asset Pricing." Journal of Money, Credit and Banking 23, no. 2 (May 1991): 224. http://dx.doi.org/10.2307/1992778.

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Atkinson, Paul, and Adrian Blundell-Wignall. "What Problem Is Post-Crisis QE Trying to Solve?" Journal of Risk and Financial Management 15, no. 2 (January 18, 2022): 40. http://dx.doi.org/10.3390/jrfm15020040.

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What problem the Fed and other central banks are solving by printing money and letting interest rates fall to zero is the focus of this paper. This activity does not appear to affect nominal GDP or inflation prior to COVID, and yet central bank liabilities have continued to rise. This suggests the presence of rising cash demand that has prevented excess cash and inflation pressures from emerging. While there was some hope that quantitative easing would be a new instrument in addition to interest rates as far as monetary policy goals were concerned, this has not proved to be the case. Instead, banking system demand for central bank liabilities keeps rising as an endogenous response to the changed business models of banks forced on them by post-crisis re-regulation and extremely low interest rates. These ideas were tested with cointegration and error correction econometric techniques. Examples of the growing risk of leverage and counterparty risks in this disequilibrium process are provided.
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Dissertations / Theses on the topic "Demand for money Econometric models"

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Leigh, Lamin. "Financial development, economic growth and the effect of financial innovation on the demand for money in an open economy : an econometric analysis for Singapore." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282018.

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Adam, Christopher S. "The demand for money, asset substitution and the inflation tax in a liberalizing economy : an econometric analysis for Kenya." Thesis, University of Oxford, 1992. http://ora.ox.ac.uk/objects/uuid:037dcc1e-edff-4096-89cb-6d24a70742d8.

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This thesis develops empirical econometric models of the private sector aggregate demand for real and financial assets in Kenya over the period 1973 to 1990. Single-equation error-correction models of the demand for money are estimated using systems cointegration methods developed by Johansen (1988). The models are found to be statistically stable functions throughout the period, and are capable of encompassing existing studies. Across a range of monetary aggregates, including a Divisia index aggregate for broad money, the models describe demand for money functions in which inflation and illegal foreign currency substitution are significant determinants of money holdings, and where the private sector adjusts rapidly to deviations from its stable longrun equilibrium real money demand. The demand for money is then integrated within a neo-classical model of asset demands, which examines the behaviour of the aggregate private sector asset portfolio in response to changes in relative prices between assets and to external shocks to the economy, principally the 1976-77 coffee boom. A variant of the Almost Ideal Demand System model developed by Deaton and Muellbauer (1980) is estimated for a class of six assets: base money, banking system deposits, government securities, tradable capital, nontradable capital and inventories. The asset substitution model, which also takes an errorcorrection form, and which allows for credit rationing, generates results which are consistent with the earlier demand for money models, where private agents are also denied access to foreign-denominated assets. Using this model, the maintenance of policies of financial repression are shown to cause the private sector to offset inflationary shocks through the accumulation of real assets, principally in the form of non-tradable capital in the construction and property sectors. The evidence from the two models is used to analyze the fiscal effects of the inflation tax and financial repression measures. Policies of financial liberalization are shown to reduce the revenue maximizing rate of inflation (estimated to be 14% per annum) and the implicit tax on domestic holders of government liabilities. This dampens asset substitution in response to inflationary shocks and offsets the adverse effects of "construction-boom" investment on non-tradable capital prices.
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Eliasson, Ann-Charlotte. "Smooth transitions in macroeconomic relationships." Doctoral thesis, Stockholm : Economic Research Institute, Stockholm School of Economics (Ekonomiska forskningsinstitutet vid Handelshögsk.) (EFI), 1999. http://www.hhs.se/efi/summary/516.htm.

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Khadaroo, Ahmad Jameel. "An econometric analysis of UK money demand." Thesis, University of Bristol, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322656.

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Hurst, Martin. "The econometric estimation of the demand for money." Thesis, University of Southampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.330129.

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Henstridge, N. M. "Coffee and money in Uganda : an econometric analysis." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319072.

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Cain, Peter Matthew. "Portfolio models of sectoral money demand." Thesis, University of Nottingham, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297745.

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Mukherji, Nivedita. "Essays on the optimum quantity of money." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/39721.

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Yap, Ghialy C. "An econometric analysis of Australian domestic tourism demand." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2010. https://ro.ecu.edu.au/theses/121.

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In 2007, the total spending by domestic visitors was AUD 43 billion, which was 1.5 times higher than the aggregate expenditure by international tourists in Australia. Moreover, domestic visitors consumed 73.7% of the Australian produced tourism goods and services whereas international tourists consumed 26.3%. Hence, this shows that domestic tourism is an important sector for the overall tourism industry in Australia. This present research determines the factors that influence domestic tourism demand in Australia and examines how changes in the economic environment in Australia could influence this demand. The main aim of this research is to achieve sustainability of domestic tourism businesses in Australia. In Chapters Two and Three, a review of the tourism demand literature is conducted. Most of the empirical papers argued that household income and travel prices are the main demand determinants. However, the literature has largely neglected other possible indicators, namely consumers‟ perceptions of the future economy, household debt and working hours, which may play an important role in influencing domestic tourism demand in Australia. The PhD thesis is divided into three parts. For the initial phase, a preliminary study is conducted using Johansen‟s cointegration analysis to examine the short- and long-run coefficients for the determinants of Australian domestic tourism demand. In the next section of this thesis, an alternative approach using panel data analysis to estimate the income and price elasticities of the demand is applied, as a panel data framework provides more information from the data and more degrees of freedom. In the final section, this thesis also investigates whether other factors (such as the consumer sentiment index, and measures of household debt and working hours) influence Australians‟ demand for domestic trips. This study reveals several distinct findings. First, the income elasticity for domestic visitors of friends and relatives (VFR) and interstate trips is negative, implying that Australian households will not choose to travel domestically when there is an increase in household income. In contrast, the study finds that the income variables are positively vi correlated with domestic business tourism demand, indicating that the demand is strongly responsive to changes in Australia‟s economic conditions. Second, an increase in the current prices of domestic travel can cause the demand for domestic trips to fall in the next one or two quarters ahead. Third, the coefficients for lagged dependent variables are negative, indicating perhaps, that trips are made on a periodic basis. Finally, to a certain extent, the consumer sentiment index, household debt and working hours have significant influences on domestic tourism demand. The current econometric analysis has significant implications for practitioners. A better understanding of income and travel cost impacts on Australian households‟ demand allows tourism companies to develop price strategies more effectively. Moreover, tourism researchers can use these indicators (such as measures of consumers‟ confidence about their future economy, household debt and working hours) to investigate how changes in these factors may have an impact on individual decisions to travel.
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Tangen, Alyssa. "The Impacts of Expected Structural Changes in Demand for Agricultural Commodities in China and India on World Agriculture." Thesis, North Dakota State University, 2009. https://hdl.handle.net/10365/29866.

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The objective of this study is to evaluate the changes in import and export demand in China and India on the United States and global agriculture in 2018. A spatial equilibrium model is developed to optimize production and trade in China, India, and other major importing and exporting regions in the world. This research focuses on four primary crops: wheat, com, rice and soybeans. In the model China and India are divided into 31 and 14 producing and consuming regions, respectively. The model also includes five exporting countries and ten importing countries/regions. The results indicate that India will be able to stay largely self-sufficient in 2018 and China will increase its soybean and com imports to meet rising domestic demand. The research also gives perspectives on production and trade in the United States and other major exporting and importing countries.
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Books on the topic "Demand for money Econometric models"

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Risto, Heijmans, Neudecker Heinz, and Cramer J. S. 1928-, eds. The Practice of econometrics: Studies on demand, forecasting, money, and income. Dordrecht: Kluwer Academic, 1987.

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Atta-Mensah, Joseph. Money demand and economic uncertainty. Ottawa: Bank of Canada, 2004.

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Carpenter, Seth B. Money demand and equity markets. Washington, D.C: Federal Reserve Board, 2003.

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Arif, R. R. Money demand stability: Myth or reality, an econometric analysis. Mumbai: Dept. of Economic Analysis and Policy, Reserve Bank of India, 1996.

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Ripatti, Antti. Econometric modelling of the demand for money in Finland. Helsinki: Suomen Pankki, 1994.

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Buffer stock models and the demand for money. Basingstoke, Hampshire: Macmillan, 1994.

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Easterly, William Russell. Money demand and seignorage-maximizing inflation. Washington, DC (1818 H. St. NW, Washington 20433): Country Economics Dept., the World Bank, 1992.

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Nassar, Koffie Ben. Money demand and inflation in Madagascar. [Washington, D.C.]: International Monetary Fund, African Dept., 2005.

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Krusell, Per. The demand for money in Sweden, 1970-1983. Stockholm, Sweden: Stockholm School of Economics, the Economic Research Institute, 1986.

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Ball, Laurence M. Another look at long-run money demand. Cambridge, MA: National Bureau of Economic Research, 1998.

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Book chapters on the topic "Demand for money Econometric models"

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Mizen, Paul. "Econometric methods." In Buffer Stock Models and the Demand for Money, 60–77. London: Macmillan Education UK, 1994. http://dx.doi.org/10.1007/978-1-349-23660-2_4.

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Hendry, David F., and Grayham E. Mizon. "Exogeneity, causality, and co-breaking in economic policy analysis of a small econometric model of money in the UK." In Money Demand in Europe, 1–28. Heidelberg: Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-662-12539-7_1.

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Jiao, Xiaoying, and Jason Li Chen. "Spatiotemporal econometric models." In Econometric Modelling and Forecasting of Tourism Demand, 126–43. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003269366-6.

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Manning, W. G. "Alternative econometric models of alcohol demand." In The science of prevention: Methodological advances from alcohol and substance abuse research., 101–21. Washington: American Psychological Association, 1997. http://dx.doi.org/10.1037/10222-004.

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Hu, Mingming, Mei Li, and Xin Zhao. "Hybrid forecasting models." In Econometric Modelling and Forecasting of Tourism Demand, 173–200. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003269366-8.

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Liu, Han, Ying Liu, and Peihuang Wu. "Mixed-frequency models." In Econometric Modelling and Forecasting of Tourism Demand, 144–72. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003269366-7.

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Cao, Zheng Chris. "Vector autoregressive models." In Econometric Modelling and Forecasting of Tourism Demand, 95–125. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003269366-5.

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Hoffman, Dennis L., and Robert H. Rasche. "Higher Dimensional VECM Models with Long-Run Money Demand Functions." In Aggregate Money Demand Functions, 163–216. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1814-6_7.

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Thompson, Neil. "Transactions and Precautionary Demand Models." In Portfolio Theory and the Demand for Money, 25–41. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-22827-0_3.

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Hoffman, Dennis L., and Robert H. Rasche. "Analysis of Three Variable VECM Models Including Demand Functions for Real Balances." In Aggregate Money Demand Functions, 101–62. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1814-6_6.

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Conference papers on the topic "Demand for money Econometric models"

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Milosheska Gavrovska, Milica, and Trajko Slaveski. "The Long-Run and Short-Run Endogeneity of Money Supply in the Republic of Macedonia: An Empirical Analysis." In International Conference on Eurasian Economies. Eurasian Economists Association, 2019. http://dx.doi.org/10.36880/c11.02301.

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The aim of this paper is to assess the endogenous and exogenous approaches on the money creation process on empirical grounds, through analysis in the case of the Republic of Macedonia. Using the ARDL econometric model, it has been determined that the money supply in the Republic of Macedonia in the period January 2003 - August 2018 is endogenously determined in the long run. The empirical results in the short term show bidirectional causality between deposits and monetary base, as well as between deposits and loans. However, in the end, the central bank in the Republic of Macedonia has an influence on the money supply. The exogenous monetary policies based on money supply control, can positively influence the amount of liquidity held by commercial banks and, hence, increase the supply of loans, but the demand for loans is still important when stimulating the entry of liquidity in the real economy.
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Chun Ping, Chang, and Lee Chien-Chiang. "Multivariate Panel Cointegration Models and Money Demand Function." In 9th Joint Conference on Information Sciences. Paris, France: Atlantis Press, 2006. http://dx.doi.org/10.2991/jcis.2006.154.

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Folgieri, Raffaella, Tea Baldigara, and Maja Mamula. "ARTIFICIAL NEURAL NETWORKS-BASED ECONOMETRIC MODELS FOR TOURISM DEMAND FORECASTING." In Tourism in Southern and Eastern Europe 2017: Tourism and Creative Industries: Trends and Challenges. University of Rijeka, Faculty of Tourism and Hospitality Management, 2017. http://dx.doi.org/10.20867/tosee.04.10.

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Frischknecht, Bart, Katie Whitefoot, and Panos Papalambros. "Methods for Evaluating Suitability of Econometric Demand Models in Design for Market Systems." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87165.

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This paper articulates some of the challenges for what has been an implicit goal of design for market systems research: To predict demand for differentiated products so that counterfactual experiments can be performed based on changes to the product design (i.e., attributes). We present a set of methods for examining econometric models of consumer demand for their suitability in product design studies. We use these methods to test the hypothesis that automotive demand models that allow for nonlinear horizontal differentiation perform better than the conventional functional forms, which emphasize vertical differentiation. We estimate these two forms of consumer demand in the new vehicle automotive market, and find that using an ideal-point model of size preference rather than a monotonic model has model fit but different attribute substitution patterns. The generality of the evaluation methods and the range of demand model issues to be explored in future research are highlighted.
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Du, Yibo, Jin Zhang, Zheng Tang, and Yiming Qi. "Application and Result Analysis Comparison of Based on MLP Neural Network and Econometric Models in Logistics Demand Forecasting." In International Conference of Logistics Engineering and Management (ICLEM) 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41139(387)388.

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Profillidis, Vassilios A., and George N. Botzoris. "A Comparative Analysis of Performances of Econometric, Fuzzy and Time-series Models for the Forecast of Transport Demand." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295483.

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Wassenaar, Henk Jan, Wei Chen, Jie Cheng, and Agus Sudjianto. "Enhancing Discrete Choice Demand Modeling for Decision-Based Design." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dtm-48683.

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Our research is motivated by the need for developing a rigorous Decision-Based Design framework and the need for developing an approach to demand modeling that is critical for assessing the profit a product can bring. Even though demand modeling techniques exist in market research, little work exists on product demand modeling that addresses the specific needs of engineering design in particular that facilitates engineering decision-making. Building upon our earlier work on using the discrete choice analysis approach to demand modeling, in this work, we provide detailed guidelines for implementing the discrete choice demand modeling approach in product design. The modeling of a hierarchy of product attributes is introduced to cascade customer desires to specific key customer attributes that can be represented using engineering language. To improve the predictive capability of demand models, we propose to use the Kano method for providing the econometric justification when selecting the shape of the customer utility function. A real (passenger) vehicle engine case study, developed in collaboration with the market research firm J.D. Power & Associates and Ford Motor Company, demonstrates the proposed approaches. The example focuses on demand analysis and does not reach beyond the key customer attribute level. The obtained demand model is shown to be satisfactory through cross validation.
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Lleshaj, Llesh. "Volatility Estimation of Euribor and Equilibrium Forecasting." In 7th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2021. http://dx.doi.org/10.31410/eraz.2021.171.

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Euribor rates (Euro Interbank Offered Rate) rates are considered to be the most important reference rates in the European money market. The interest rates do provide the basis for the price and interest rates of all kinds of financial products like interest rate swaps, interest rate futures, saving accounts and mortgages. Since September 2014, this index has per­formed with negative rates. In recent years, several European central banks have imposed negative interest rates on commercial banks, as the only way to stimulate their nations’ economies. Under these circumstances, the purpose of this study is to estimate the gap of the negative rates which are still increasing constantly. This fact puts in question the financial stability in many countries and the effect of monetary policy on stimulating economic growth around European countries. According to the daily data 2016 - 2021, this study has analyzed the volatility of the Euribor index related to efficient market hypothesis and volatility clustering. Applying advanced volatility econometric methods, GARCH volatility models are derived and the long-run equilibrium is predicted. Practical Implications are related to the empiri­cal impacts that ought to be taken into consideration by the banking sector and other financial institutions to make decisions with the Euribor index.
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Salanova Grau, Josep Maria, and Miquel Estrada Romeu. "Social optimal shifts and fares of taxi services." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.3254.

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This paper presents a mathematical model for supporting the decision and policy making related to the optimal determination of shifts and fares of taxi services in a major city. The model is based on the system’s generalized cost function and uses continuous approximations and geometric probabilities for estimating the key performance indicators of the taxi market, which are waiting and access time for the customers (in-vehicle travel time does not depend on the offer side) and benefits for the drivers. The model is based on an econometric model with the inclusion of an elastic demand, which allows the estimation of the optimal values for the two decision variables of the problem: fare structure and the taxi fleet size. The model also accounts for a full-day time period instead of the one-hour time frame models used in most of the taxi models, which allows for providing insights on the daily duration and distribution of the shifts that should be defined by the policy makers.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3254
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Jovanoska, Dijana, and Gjorgji Mancheski. "On-Line Big Data Processing Using Python Libraries for Multiple Linear Regression in Complex Environment." In 27th International Scientific Conference Strategic Management and Decision Support Systems in Strategic Management. University of Novi Sad, Faculty of Economics in Subotica, 2022. http://dx.doi.org/10.46541/978-86-7233-406-7_228.

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The phenomenon called Big Data today is one of the most significant and least visible consequences of the development of technology and the Internet. Namely, the data generated by today's globally connected world is growing at an exponential rate and they are a real "gold mine" for those users who know how to correctly interpret such data and make successful decisions based on them. Data analysis and processing is one of the most important components of a large data system, and in this branch of data science the most popular is the Python programming language, which provides its users with a large number of constantly maintained program libraries and developing environments. The most important thing for legal entities and individuals is that almost all program libraries and functions provided by this programming language come with free licenses and possess open code, maintained and quality technical documentation, which provides each company with significant money savings and time. This research paper is dedicated to the possibility of determining and creating a multi regression model of large amounts of data by using Python, on the basis of large amounts of data provided by two market retailers in order to display a multi regression model and assess its predictive power. Because the number of variables is large, several models have been made in this research paper and a comparative analysis of the different models has been made, which shows that Python is a good tool that can be used repeatedly to select different variants and evaluate the resulting model for which a graphical interface can be made and would be much more acceptable as an end user, can be placed on a server on the Internet or on a modern Cloud platform and used by users as an on-demand concept and the results can be embedded in end-user interfaces and models made in this way (with dynamic data extraction)can be used in BI and machine learning processes.
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