aggregative index number

简明释义

总合指数

英英释义

例句

1.In our report, we calculated the aggregative index number for consumer goods over the past decade.

在我们的报告中，我们计算了过去十年消费品的综合指数数值。

2.The aggregative index number helps investors assess market trends more effectively.

该综合指数数值帮助投资者更有效地评估市场趋势。

3.The government released the aggregative index number for housing prices this quarter.

政府发布了本季度住房价格的综合指数数值。

4.To understand inflation, analysts often refer to the aggregative index number of various sectors.

为了理解通货膨胀，分析师常常参考各个行业的综合指数数值。

5.The economist used the aggregative index number to measure the overall price level in the economy.

经济学家使用综合指数数值来衡量经济中的整体价格水平。

作文

In the realm of economics and statistics, the concept of an aggregative index number plays a crucial role in analyzing and interpreting data. It serves as a vital tool for researchers, policymakers, and businesses alike, enabling them to measure changes in economic indicators over time. An aggregative index number is essentially a numerical representation that aggregates various individual data points into a single figure, allowing for easier comparison and analysis. For instance, when assessing the overall performance of an economy, one might use an aggregative index number to combine metrics such as GDP, inflation rates, and unemployment figures into a comprehensive index that reflects the economic health of a nation.The significance of aggregative index numbers can be observed in various applications, from tracking inflation through the Consumer Price Index (CPI) to measuring stock market performance with indices like the S&P 500. These indices provide a simplified view of complex data, making it accessible for stakeholders who may not have a deep understanding of statistical methods. By using an aggregative index number, analysts can communicate trends and shifts in economic conditions more effectively.Moreover, the methodology behind constructing an aggregative index number involves careful selection of the components included in the index. This process requires a deep understanding of the underlying data and its implications. For example, when creating a price index, one must consider which goods and services to include, ensuring that they represent the consumption patterns of the population accurately. The weights assigned to each item in the index are also critical, as they determine the influence each component has on the overall index value.However, it is essential to recognize the limitations of aggregative index numbers. While they provide valuable insights, they can also mask underlying variations within the data. For example, a rising aggregative index number may suggest economic growth, but it could hide disparities in income distribution or regional economic performance. Therefore, it is crucial for analysts to complement aggregative index numbers with other analytical tools and qualitative assessments to gain a more holistic understanding of economic conditions.In conclusion, aggregative index numbers are indispensable in the field of economics, offering a streamlined approach to data analysis and interpretation. They enable stakeholders to grasp complex information quickly and make informed decisions based on aggregated data. However, it is vital to approach these numbers with a critical mindset, recognizing their limitations and the context in which they are used. As we continue to navigate an increasingly data-driven world, the importance of understanding and utilizing aggregative index numbers will only grow, shaping the way we analyze economic trends and make policy decisions.

在经济和统计学领域，聚合指数的概念在数据分析和解释中发挥着至关重要的作用。它是研究人员、政策制定者和企业的重要工具，使他们能够衡量经济指标随时间的变化。聚合指数本质上是一个数字表示，它将各种单独的数据点汇总成一个单一的数字，从而便于比较和分析。例如，在评估整体经济表现时，可以使用聚合指数将国内生产总值（GDP）、通货膨胀率和失业率等指标结合成一个全面的指数，以反映国家的经济健康状况。聚合指数的重要性可以在各种应用中观察到，从通过消费者价格指数（CPI）跟踪通货膨胀，到使用标准普尔500指数测量股市表现。这些指数提供了复杂数据的简化视图，使利益相关者更易于理解，即使他们对统计方法没有深入了解。通过使用聚合指数，分析师能够更有效地传达经济条件的趋势和变化。此外，构建聚合指数的方法论涉及仔细选择包含在指数中的组成部分。这个过程需要对基础数据及其含义有深入的理解。例如，在创建价格指数时，必须考虑包括哪些商品和服务，以确保它们准确代表人们的消费模式。分配给每个项目的权重也至关重要，因为它们决定了每个组成部分对整体指数值的影响。然而，认识到聚合指数的局限性也是至关重要的。尽管它们提供了有价值的见解，但也可能掩盖数据中的潜在变异。例如，一个上升的聚合指数可能表明经济增长，但它可能隐藏收入分配或地区经济表现的差异。因此，分析师必须用其他分析工具和定性评估来补充聚合指数，以获得对经济状况的更全面理解。总之，聚合指数在经济学领域不可或缺，提供了一种简化的数据分析和解释方法。它们使利益相关者能够快速掌握复杂信息，并根据汇总数据做出明智决策。然而，重要的是以批判性的思维看待这些数字，认识到它们的局限性及其使用的背景。随着我们继续在一个日益数据驱动的世界中航行，理解和利用聚合指数的重要性只会增加，从而塑造我们分析经济趋势和制定政策决策的方式。