Friday, February 28, 2020

Art Piece Anotation Essay Example | Topics and Well Written Essays - 1500 words

Art Piece Anotation - Essay Example Falconet continued with hard work in sculpturing and he was successful in developing his first sculpture by the name Milo of Crotone (In French it is Milon de Crotone) (Artfinding.com, 2006). This successful bit of art made Falconet very famous and immediately he was absorbed and became a member of â€Å"Academie des beaux-arts† in the year 1754 (Artfinding.com, 2006). This was the royal academy of painting and sculpture that only had prominent outstanding painters and sculpture of the time being appointed to be members. Due to his hard work, the sculptures he developed between the year 1755 to 1757 made him get appointed to be the director of sculpture workshops in that royal academy. This sculpture is a figure of a great legend known as Milo of Crotone. This was a real life portrait of a Grecian wrestler of the 6th century; who was born in a town called Magna Grecian city of Croton in southern Italy (Djibnet.com, 2011). Milo was a great wrestler who at all time enjoyed the career since he always won. In addition to this, Milo was also an athlete and had won many wrestling and athletics competitions during important festivals of ancient Greece (Djibnet.com, 2011). Moreover, Milo is also remembered for his role in leading his fellow citizens to a military triumph in 510 B.C. over their neighbors in Sybaris (Djibnet.com, 2011). Milo was also associated with another Crotonean Pythagoras who was once saved by Milo from a collapsing roof (Djibnet.com, 2011). In repayment Milo was given the daughter of Pythagoras called Myia. His name became very famous and the greatest complement was on his strength and power. This is the main theme portrayed in most of his statues developed by most artists. It should be noted that the sculpture of Milon de Crotone is entirely constructed from the artistic literature demonstrating Milo’s power, strength and his painful death. Milo’s legendary strength and unique death have currently

Wednesday, February 12, 2020

Co-Integration, Causality and Export-Led Growth in Portugal Article

Co-Integration, Causality and Export-Led Growth in Portugal - Article Example In the current study firstly, the Augmented Dicky Fuller (ADF) test is used for finding the order of integration between the two data series. Secondly, the Johansen maximum likelihood estimates are used for testing co-integration. Thirdly, the standard Granger-type test is adapted by using lag residual of the co-integrating regression model. Lag length for Granger causality test is determined by minimizing the Akaike’s Final Prediction Error (FPE). The data used in this study comprise annual secondary data of GDP and Exports values in Portugal between 1835 to1985 time period. The base year has been selected since 1914 for calculating the real prices. Statistical estimates of ADF test showed that log GDP and log Exports are 1(1) while the first difference of the level variables is 1(0). The trace statistics of the Johansen maximum likelihood is used to conclude that real GDP and real Exports values of Portugal are co-integrated and causally related. Four lags of the dependent variable are used in this model. Based on FPE criteria Granger causality test structure is determined as m=3, n=2, q=3, and r=4. Accordingly, the Wald test statistics of the Granger causality test rejected the null hypothesis in favor of reverse causality. Thus economic growth has caused export growth in Portugal during 1835 to1985 time period. The first section of the paper describes the concept of autocorrelation in relation to conventional research studies of applied economics. Autocorrelation or serial correlation is a common condition found in time series data. In OLS estimation residual is assumed to be independently distributed and does not contain any long run correlations. Thus in the presence of autocorrelation OLS estimates are not associated with minimum variance. Nevertheless, autocorrelation is not considered as a fatal statistical issue in econometrics analyses.Â