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Farm and Non-farm Incomes of Rural Households in Slovenia Canonical Correlation Analysis

. Möllers, J. 2006. Außerlandwirtschaftliche Diversifikation imTransformationsprozess.Diversifikationsentscheidungen und -strategien ländlicher Haushalte in Slowenien und Mazedonien. Studies on the Agricultural and Food Sector in Central and Eastern Europe, Vol. 35, Halle (Saale). Stevens, J. P. 2002. Applied Multivariate Statistics for the Social Science. 4th edition, Lawrence Erlbaum Associates, Mahwah, New Jersey. Stewart, D. and W. Love 1968. A General Canonical Correlation Index. Psychological Bulletin. Vol. 70

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Pricing Correlation Options: from the P. Carr And D. Madan Approach to the New Method Based on the Fourier Transform

Fourier transform. Journal of Computational Finance, 2(4), 61-73. doi: 10.21314/JCF.1999.043 Dempster, M. A. H., & Hong, S. S. G. (2000). Spread option valuation and fast Fourier transform. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.27.9431&rep=rep1&type=pdf. doi: 10.1007/978-3-662-12429-1_10 Fan, K., & Wang, R. (2017). Valuation of correlation options under a stochastic interest rate model with regime switching. Frontiers of Mathematics in China, 12(5), 1113‑1130. doi: 10.1007/s11464

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The Assessment Of Geographical Borders In Economic Research

. Markowska M., Sokołowski A., Sobolewski M., Strahl D. (2014), Tests for connection between clustering of Polish counties and province structure, ʻStatistics in Transition new seriesʼ, Spring, vol. 15, No 2. Markowska M., Sokołowski A., Sobolewski M., Strahl D., Denkowska S. (2015), Regional Spatial Moving Average and New Spatial Correlation Coefficient, IFCS 2015 Conference, Bolonia, July 6-8, Book of Abstracts. McCallum J. (1995), National Borders Matter: Canada-U.S. Regional Trade Pattern, ʻThe American Economic Reviewʼ, 85:3 (June

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On Storks and Babies: Correlation, Causality and Field Experiments

Abstract

The explosion of available data has created much excitement among marketing practitioners about their ability to better understand the impact of marketing investments. Big data allows for detecting patterns and often it seems plausible to interpret them as causal. While it is quite obvious that storks do not bring babies, marketing relationships are usually less clear. Apparent “causalities” often fail to hold up under examination. If marketers want to be sure not to walk into a causality trap, they need to conduct field experiments to detect true causal relationships. In the present digital environment, experiments are easier than ever to execute. However, they need to be prepared and interpreted with great care in order to deliver meaningful and genuinely causal results that help improve marketing decisions.

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Linear and Nonlinear Weighing of Property Features

, Econometric Identification of the Impact of Real Estate Characteristics Based on Predictive and Studentized Residuals , Real Estate Management and Valuation, Vol. 25, No. 1, pp. 84-92. G aca R., S awiłow E., 2014, Zastosowanie współczynników korelacji rang Spearmana do ustalenia wag cech rynkowych nieruchomości , Rzeczoznawca Majątkowy, nr 82, pp. 24-30 ( Application of Spearman’s Rank Correlation Coefficient for Establishing Ranks of Real Estate Characteristics , Real Estate Appraiser, No. 82, pp. 24-30). G reń J., 1978, Statystyka matematyczna, modele i

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The Variation of Healthy Life Expectancy and Health Expenses in Europe

Abstract

In the paper we aim to study the European health systems by analysing the relationship between the outcome and the input of health systems. The indicator that measures the output is healthy life expectancy at birth and at 65 years of age for the female and male population. The input consists in the health expenses by type of health services and medical goods provided.

We observe a sample of 21 European countries, including Romania, on health indicators, such as healthy life years and health expenses, available from Eurostat database. We applied both correlation and regression methods in order to study the variation of healthy life expectancy according to health expenses.

The results of the study point out high variations of healthy life expectancy per country. One of the factors that explain these differences is the varying volume of resources allocated in order to fund health services.

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Effective Exchange Rates in Central and Eastern European Countries: Cyclicality and Relationship with Macroeconomic Fundamentals

Abstract

This paper examines the evolution of effective exchange rates in nine Central and Eastern European countries in terms of development trends, volatility and cyclicality. Consequently, it provides direct empirical evidence on the nature of the relationship between effective exchange rates and selected macroeconomic fundamentals, addressing a key precondition of numerous exchange rate determination models and theories that attempt to explain the role of exchange rates in the economy. The results suggest that flexible exchange rate arrangements are reflected in both nominal and real effective exchange rates having higher volatility and variability. Furthermore, the results provide mixed evidence in terms of intensity, direction and cyclicality, but show a weak correlation between exchange rates and fundamentals. Sufficiently high coefficients are found only for money supply. Consequently, using fundamentals for the determination of exchange rates and using the exchange rate to explain economic development may be of limited use for the countries analyzed.

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Listing of Developer Companies as a Predictor of the Situation on the Residential Real Estate Market

International Experience, Acta Scientiarum Polonorum, Oeconomia, 16(2). Heaney R., Sriananthakumar S., 2012, Time-Varying Correlation Between Stock Market Returns And Real Estate Returns, Journal Of Empirical Finance, 19(4), Pp. 583-594, Doi:10.1016/J.Jempfin.2012.03.006 Jensen M.C., 1968, The Performance Of Mutual Funds In The Period 1945-1964, Journal Of Finance, May, Pp. 389-417. Kim Hiang L., 2006, Dynamic Relationship Between Stock And Property Markets, Applied Financial Economics [Serial Online], 16(5), Pp. 371

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Movement Remote Command and Control in the Military Technical Systems through the Inferential Method

biosemnale și controlul mișcării la distanță - Raport de Cercetare Numărul 3 , Doctoral School, Military Technical Academy, Bucharest, November. [8] Grigore, D. (2016). Metodă fractală inferențială , Sesiunea Științifică a Academiei Oamenilor de Știință din România, Durău, 22-24 September 2016. [9] Grigore, D., & Petrescu, C. (2015). Multiple correlations between EEG and GSR patterns on remote movement command and control , International Conference Greener and Safer Energetic and Ballistic Systems, GSEBS 2015, held at the Military Technical Academy Bucharest

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U.S. REITs: A Financial Economics Review as of 2018

5. References B ai Q., C hang Q., G lascock , J.L., 2011, The Supply Side Story: REITs’ Financing and Investment Decision in Response to the 2007-2009 Credit Crunch , Working paper, University of Cincinnati. B harati R., G upta M, 1992, Asset Allocation and predictability of Real Estate Returns , The Journal of Real Estate Research, Vol. 7, No. 4, pp. 469-484. B rown G.R., O ng S. E., 2001, Estimating Serial Cross-Correlation in Real Estate Returns , Managerial and Decision Economics, Vol. 22, pp. 381-387. B usato F., C oletta

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