assignmentutor-lab™ 为您的留学生涯保驾护航 在代写经济统计Economic Statistics方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写经济统计Economic Statistics代写方面经验极为丰富，各种代写经济统计Economic Statistics相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

统计代写|经济统计代写Economic Statistics代考|Concluding Remarks

In the introduction to the $2000 \mathrm{NBER} / \mathrm{CRIW}$ conference volume Scanner Data and Price Indices, Feenstra and Shapiro (2002) stated, “Scanner data and other electronic records of transactions create tremendous opportunities for improving economic measurement.” Almost two decades after that conference, researchers have made progress using digitized transactions data on many dimensions, but the US statistical agencies have not yet implemented the vision of using such data for dramatic improvements in economic measurement for official statistics. Indeed, many of the papers in that conference pointed to the difficulty in using scanner data for measurement. Both push and pull factors, however, suggest the time is now ripe for full-scale implementation of using transaction-level data that will yield a significant reengineering of key national indicators. In particular, developments in economics and computer science such as the UPI and hedonicsat-scale, are innovations that address some of the difficulties with using scanner data for economic measurement under the existing architecture for economic statistics.

On the push side, declining response rates on business and household surveys yield both higher costs and lower quality of economic measurement. Relatedly, the current decentralized system imposes a substantial burden on households and businesses with a multiplicity of surveys. On the pull side, the digitization of virtually everything has been dramatic over the last two decades. Moreover, substantial progress has been made on the technical challenges for implementation. Active research using item-level transactions data has yielded development of price index methodology that captures quality changes from product turnover and changing product appeal for continuing goods. Based on our review and exploration of the methodological innovations, we conclude that integration of the alternative approaches that have been proposed is likely to be fruitful.

统计代写|经济统计代写Economic Statistics代考|Overview of CPI

The CPI is a measure of the average change over time in the prices paid by urban consumers for a market basket of goods and services. The CPI is a complex measure that combines economic theory with sampling and other statistical techniques and uses data from several surveys to produce a timely measure of average price change for the consumption sector of the American economy. BLS operates within a cost-of-living-index (COLI) framework when producing the CPI.

Weights used in the estimation of the CPI are derived primarily from two surveys. The Consumer Expenditure (CE) Survey furnishes data on item category purchases of households and is used to draw the CPI item sample. The Telephone Point of Purchase Survey (TPOPS) collects data on retail outlets where households purchased commodities and services and is used as the outlet frame from which BLS selects a sample of outlets. ${ }^1$ Weights are derived from the reciprocal of the probabilities of selection. BLS has not had access to the expenditure information necessary to produce superlative indexes, the preferred class of index formulas for COLI estimation, for the lower-level component indexes that feed all CPI outputs. BLS currently only uses a superlative index formula to produce the Chained $\mathrm{CPI}-\mathrm{U}$ at the upper level of aggregation. ${ }^2$ The lower-level indexes used in CPI aggregates almost all use a geometric mean index formula, which approximates a COLI under the restrictive assumption of Cobb-Douglas utility. ${ }^3$

Pricing information in the current $\mathrm{CPI}$ is primarily based on two surveys.

经济统计代考

统计代写|经济统计代写Economic Statistics代考|Overview of CPI

CPI 是衡量城市消费者为一篮子商品和服务支付的价格随时间平均变化的指标。CPI 是一种复杂的衡量标准，将经济理论与抽样和其他统计技术相结合，并使用来自多次调查的数据来及时衡量美国经济消费部门的平均价格变化。BLS 在生成 CPI 时在生活成本指数 (COLI) 框架内运行。

有限元方法代写

assignmentutor™作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

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