Econometrcs Essay Example | Topics and Well Written Essays - 2000 words

Econometrcs - Essay Example Accordingly the log-log model was found consistent with the economic theory. For example, the coefficient of own price was not significant while the coefficient of output price was negatively correlated in the linear-linear model. Cost minimizing farmers’ input demand however, should be positively correlated to the output price i.e. with increasing output price which in turn increase farmer’s profit the demand for inputs also should increase. Therefore, in the urea fertilizer demand model the paddy price should be positively correlated with the fertilizer demand. And also the price of urea should be negatively and significantly correlated to the demand for urea. Hence the log-log model is consistent with the economics theory. Therefore, it was used for interpretation as follows. Table2: Test for Autocorrelation Breusch-Godfrey LM test for autocorrelation lags(p) chi2 df Prob > chi2 1 0.520 1 0.4709 H0: no serial correlation N*R2 = 23*0.516 = 11.868 N*R2 > chi2 Therefore reject H0. There is auto correlation in the model. Thus the robust estimates were taken. Table3: Test for Multicolinarity Variable VIF 1/VIF Log-Urea Price (Rs/Kg) 2.67 0.37453 Log- Open Market Price of Paddy (Rs/Mt) 2.42 0.41322 Log- Wages (Rs/Day) 2.08 0.48072 Log- Lag dependent 1.58 0.63344 Mean VIF 2.19 ii) In log-log equations the coefficients reflects the price elasticity of the respective variables. For example in the above model the own price elasticity of urea demand is -0.0561 i.e. with 1 percentage proportion decrease in urea price the increase the demand for urea by 5.6 percentage proportion. Similarly, the elasticity of urea demand for paddy price is 0.459 i.e. 1 percentage proportion increase in open market price of paddy can increase the demand for urea fertilizer by 45.9 percentage proportion. In the model the largest, significant coefficient was associated with the open market price of paddy. This shows that paddy farmers production decisions are influenced highly by the output price compared to the price of other factors of production such as fertilizer, labor and crude oil. However both own price elasticity and output price elasticitys are less than one and hence are inelastic. The demand for fertilizer is negatively correlated to the wage rates and crude oil prices. With increasing wage rates and oil prices the cost of production increase and hence these variables are negatively correlated in the demand model. The elasticity of demand with respect to wage rates is -0.261 while the elasticity of demand with respect to crude oil price is -0.145. therefore the demand for urea fertilizer decrease by 26.1 and 14.5 percentage proportions with respect to 1 percentage proportion increase in wage rates and crude oil prices respectively. Crude oil price represent the transport cost and also paddy processing costs. The goodness of fit as denoted by the adjusted R2 value of the above model is 51.6 percentage proportion and the probability value of the f statistic was 0.00. Therefore the model is statistically significant

Amenorrhea Case Study Example | Topics and Well Written Essays - 1000 words

Amenorrhea - Case Study Example This paper will discuss a case study that involves a 30-year-old female whose has secondary amenorrhea for six months. Prior to being diagnosed with the disorder, she presented with periods of irregular cycles and dysmenorrhea. Thus, the paper will discuss the pathophysiology of the disorder and it possible causes in relation to irregular cycles and dysmenorrhea. Amenorrhea is a menstrual disorder that refers to the absence of menstruation in a woman who had been previously having their normal menstrual cycle. Secondary is used to refer to menstruation that had previously occurred at least for some period but stopped for a period of six months or longer due to some reasons. In order for the woman to be diagnosed with secondary amenorrhea, they must miss their menstrual period for a period of at least three to six months without being pregnant (Heiman, 2009). The most significant contributing factors include the use of birth control pills, certain medications and stress that also have been associated to cause dysmenorrhea (painful cramping) and irregular cycles. The most common reason as to why a woman will miss their period is as a result of pregnancy. However, it should be noted that pregnancy, menopause and breastfeeding are not classified as causes of the disorder. Secondary amenorrhea is not harmful to the patients’ health as it c an be treated effectively in the majority of the cases according to the pathophysiology. Thus, it is important for the health care practitioner to address the underlying condition causing the menstrual disorder to ensure that optimal health of the woman is regained (Klein & Poth, 2013). The hypothalamus is involved in generating the gonadotropin-releasing hormones that are responsible for stimulating the pituitary gland to produce the gonadotropins i.e. the Luteinizing Hormone and Follicle- stimulating hormone into the blood stream. These gonadotropins are important in