入学申请代写

课程代写:家庭支出数据

课程代写:家庭支出数据

该分析使用了1996年家庭支出数据,这些数据来自ODESI。该数据采集了加拿大10个省的10203次观测数据。表1显示了分析中使用的所有变量及其定义。该模型确定了16个可能影响或决定加拿大家庭娱乐开支的相关变量。表2显示了所有变量的描述性统计。这里使用的因变量是用于娱乐和相关活动的费用。这些变量包括在娱乐车辆上的花费,像舞台剧这样的视觉娱乐,像音乐系统这样的音频娱乐,像报纸和杂志这样的其他娱乐系统,等等。图1显示了用于娱乐开支的金额分布。为确保因变量的平滑性和离群值的减少,我们使用了娱乐支出日志,而不是直接使用该变量。康乐开支日志的平均数为7.996,标准差为1.502。很明显,数据是平稳的,没有异常值。家庭的收入是由户主及其配偶的税后收入的总和获得的。

课程代写:家庭支出数据
那些与负收入相关的观察结果被过滤掉了,因为负收入没有任何经济意义或计量经济学意义。家庭平均收入为37094.805加元。为了确保可伸缩性并使数据更流畅,使用收入日志而不是收入日志。收入对数的平均值为10.296,标准差为0.984。这些变量包括“性别”、“教育”、“统计”和“社会援助”。性别“性别”变量对男性受访者的值为1。该数据包含45.9%的男性。变量“educ”的数值从0到16不等,取决于受访者接受教育的年限。家庭平均受教育年限为12.851年。可变年龄取受访者所属年龄组的平均值。受访者的平均年龄为48.722岁。受访者的婚姻状况包括在变量“marstat”中,该变量对已婚受访者的值为1。61.7%的受访者已婚。变量“社会救助”也是一个虚拟变量。它的值为1,如果家庭中至少有一名成员接受了社会援助,则为0。12%的家庭接受社会救助。

课程代写:家庭支出数据

The analysis uses the household expenditure data for the year 1996 as taken from ODESI. The data takes a total of 10203 observations across 10 provinces of Canada. Table 1 shows all the variables used in the analysis and their definitions. The model identifies sixteen relevant variables that are likely to impact or determine the expenses incurred by the households in Canada for recreational purposes. Table 2 shows the descriptive statistics of all the variables.The dependent variable used here is the expenses on recreational and related activities. These variables include expenses in recreational vehicles, visual recreations like stage plays, audio recreations like music systems, other recreational systems like newspaper and magazines and so on. Figure 1 shows the distribution of the amount spent on recreational expenses. To ensure that the dependent variable is smooth and there are fewer outliers, log of the recreational expenditure is used instead of using the variable directly. The average of log of recreational expenditure is 7.996 with a standard deviation of 1.502. It is evident that the data is smooth and that there are no outliers.The income of the household is obtained by taking a sum of the income after tax of the household head and his or her spouse.

课程代写:家庭支出数据
Those observations which corresponded to negative income have been filtered out as negative income makes no economic or econometrical sense. The mean income of the households is CAD 37094.805. To ensure scalability and to make the data smoother, log of income is used instead of income. The average of the log of income is 10.296 and the standard deviation is 0.984.These variables include “sex”, “educ”, “marstat” and “social assistance”. The variable on gender “sex” takes a value of 1 for male respondents. The data contains 45.9% males. The variable “educ” takes numeric values ranging from 0 to 16 depending on the number of years of education taken by the respondents. The average education of the households is 12.851 years. The variable age takes the mean of the age group the respondents belong to. The average age of the respondents is 48.722 years. The marital status of the respondent is covered in the variable “marstat” which takes a value of 1 for married respondents. 61.7% respondents are married. The variable “social assistance” is also a dummy variable. It takes a value of 1 if at least one member in the family receives social assistance, else it becomes 0. 12% of the households receive social assistance.