开发者:上海品职教育科技有限公司 隐私政策详情

应用版本:4.2.11(IOS)|3.2.5(安卓)APP下载

benniewang · 2019年11月08日

问一道题:NO.PZ201709270100000406

* 问题详情,请 查看题干

问题如下:

6. Based on the data for the AR(1) model in Exhibits 1 and 2, Martinez can conclude that the:

选项:

A.

residuals are not serially correlated.

B.

autocorrelations do not differ significantly from zero.

C.

standard error for each of the autocorrelations is 0.0745.

解释:

C is correct. The standard error of the autocorrelations is calculated as  [#PZMATH1346#], where T represents the number of observations used in the regression. Therefore, the standard error for each of the autocorrelations is [#PZMATH1347#] = 0.0745. Martinez can conclude that the residuals are serially correlated and are significantly different from zero because two of the four autocorrelations in Exhibit 2 have a t-statistic in absolute value that is greater than the critical value of 1.97.

Choices A and B are incorrect because two of the four autocorrelations have a t-statistic in absolute value that is greater than the critical value of the t-statistic of 1.97.

公式在哪里?公式在哪里?

1 个答案

星星_品职助教 · 2019年11月08日

这里哈



  • 1

    回答
  • 1

    关注
  • 624

    浏览
相关问题

NO.PZ201709270100000406 问题如下 6. Baseon the ta for the AR(1) mol in Exhibits 1 an2, Martinez cconclu ththe: resials are not serially correlate autocorrelations not ffer significantly from zero. stanrerror for eaof the autocorrelations is 0.0745. C is correct. The stanrerror of the autocorrelations is calculate 1T\frac{1}{\sqrt{T}}T​1​, where T represents the number of observations usein the regression. Therefore, the stanrerror for eaof the autocorrelations is 1180\frac{1}{\sqrt{180}}180​1​ = 0.0745. Martinez cconclu ththe resials are serially correlateanare significantly fferent from zero because two of the four autocorrelations in Exhibit 2 have a t-statistic in absolute value this greater ththe criticvalue of 1.97.Choices A anB are incorrebecause two of the four autocorrelations have a t-statistic in absolute value this greater ththe criticvalue of the t-statistic of 1.97. 请问本题中求 stanrerror中为什么T 或者说N 是180而不是181呢,我是拿1/ √181 这么算的

2023-04-12 09:25 1 · 回答

NO.PZ201709270100000406 问题如下 6. Baseon the ta for the AR(1) mol in Exhibits 1 an2, Martinez cconclu ththe: resials are not serially correlate autocorrelations not ffer significantly from zero. stanrerror for eaof the autocorrelations is 0.0745. C is correct. The stanrerror of the autocorrelations is calculate 1T\frac{1}{\sqrt{T}}T​1​, where T represents the number of observations usein the regression. Therefore, the stanrerror for eaof the autocorrelations is 1180\frac{1}{\sqrt{180}}180​1​ = 0.0745. Martinez cconclu ththe resials are serially correlateanare significantly fferent from zero because two of the four autocorrelations in Exhibit 2 have a t-statistic in absolute value this greater ththe criticvalue of 1.97.Choices A anB are incorrebecause two of the four autocorrelations have a t-statistic in absolute value this greater ththe criticvalue of the t-statistic of 1.97. 但是对于表2,我有点疑问,比如AR1和AR2存在序列相关,但是AR3和AR4不存在的话?可以得出一个什么结论?比如我们可以用AR3或者AR4模型吗?

2022-11-15 09:01 1 · 回答

NO.PZ201709270100000406 6. Baseon the ta for the AR(1) mol in Exhibits 1 an2, Martinez cconclu ththe: resials are not serially correlate autocorrelations not ffer significantly from zero. stanrerror for eaof the autocorrelations is 0.0745. C is correct. The stanrerror of the autocorrelations is calculate1T\frac{1}{\sqrt{T}}T ​1​, where T represents the number of observations usein the regression. Therefore, the stanrerror for eaof the autocorrelations is 1180\frac{1}{\sqrt{180}}180 ​1​ = 0.0745. Martinez cconclu ththe resials are serially correlateanare significantly fferent from zero because two of the four autocorrelations in Exhibit 2 have a t-statistic in absolute value this greater ththe criticvalue of 1.97. Choices A anB are incorrebecause two of the four autocorrelations have a t-statistic in absolute value this greater ththe criticvalue of the t-statistic of 1.97. t检验有些lag拒绝 有些没有拒绝不是肯定有不等于0的么? regectHo 大概有哪几种表示方法可以总结下么

2021-12-03 15:03 1 · 回答

NO.PZ201709270100000406 6. Baseon the ta for the AR(1) mol in Exhibits 1 an2, Martinez cconclu ththe: resials are not serially correlate autocorrelations not ffer significantly from zero. stanrerror for eaof the autocorrelations is 0.0745. C is correct. The stanrerror of the autocorrelations is calculate1T\frac{1}{\sqrt{T}}T ​1​, where T represents the number of observations usein the regression. Therefore, the stanrerror for eaof the autocorrelations is 1180\frac{1}{\sqrt{180}}180 ​1​ = 0.0745. Martinez cconclu ththe resials are serially correlateanare significantly fferent from zero because two of the four autocorrelations in Exhibit 2 have a t-statistic in absolute value this greater ththe criticvalue of 1.97. Choices A anB are incorrebecause two of the four autocorrelations have a t-statistic in absolute value this greater ththe criticvalue of the t-statistic of 1.97. 如题,请问老师检验是否有autocorrelation为何不用方法?

2021-08-11 17:52 1 · 回答

NO.PZ201709270100000406 6. Baseon the ta for the AR(1) mol in Exhibits 1 an2, Martinez cconclu ththe: resials are not serially correlate autocorrelations not ffer significantly from zero. stanrerror for eaof the autocorrelations is 0.0745. C is correct. The stanrerror of the autocorrelations is calculate1T\frac{1}{\sqrt{T}}T ​1​, where T represents the number of observations usein the regression. Therefore, the stanrerror for eaof the autocorrelations is 1180\frac{1}{\sqrt{180}}180 ​1​ = 0.0745. Martinez cconclu ththe resials are serially correlateanare significantly fferent from zero because two of the four autocorrelations in Exhibit 2 have a t-statistic in absolute value this greater ththe criticvalue of 1.97. Choices A anB are incorrebecause two of the four autocorrelations have a t-statistic in absolute value this greater ththe criticvalue of the t-statistic of 1.97. 想问一下 exhibit 2 中 autocorrelation 那一列的数字是指的什么啊?怎么算的?、 谢谢

2021-05-20 14:46 1 · 回答