econometric

简明释义

英[ɪˌkɒnəˈmetrɪk]美[ɪˌkɑːnəˈmetrɪk]

adj. 计量经济学的

英英释义

单词用法

同义词

反义词

例句

1.Tow famous econometric models are the Federal Reserve Bank econometric model and DRI-WEFA model.

两个著名的计量经济学模式是联邦储备银行模式和DRI-WEFA模式。

2.We propose a simple econometric model, which can reflect both a firm's earnings-generating ability and the earnings volatility.

本文提出了一个既能够反映公司赢利能力又可以反映赢利波动率的公司盈亏模型。

3.Methods of documentation and econometric analysis were employed.

研究方法：文献分析法，计量经济分析。

4.This paper describes a variable selection method of nonlinear econometric modeling.

提出了非线性计量经济建模变量选择的一种方法。

5.Mostly adopt the plural linear model in the existing econometric models.

在现有的经济计量模型中多是采用多元线性模型。

6.The risk of econometric models includes model-misspecification risk and estimation risk.

计量经济模型总风险由模型(误设)风险和估计风险构成。

7.The econometric analysis of the money demand in China conducted in this paper offers an empirical proof for the conclusion.

论文通过对中国货币需求的计量分析，为以上结论提供了经验的证明。

8.Economics is empirically oriented: it USES the tools of statistical and econometric analysis to test theoretical predictions against economic data.

经济学是实证的导向：它使用统计和计量分析工具来测试对经济数据的理论预测。

9.A reasonable conclusion on the basis of the econometric results is that saving has been reduced, but by how much is not clear.

根据经济计量分析的结果，得出的一个合理结论是，储蓄减少了，但减少了多少并不清楚。

10.The researchers used econometric 计量经济学 models to analyze the impact of education on income levels.

研究人员使用计量经济学模型分析教育对收入水平的影响。

11.In this study, we applied econometric 计量经济学 techniques to forecast future economic growth.

在这项研究中，我们应用了计量经济学技术来预测未来的经济增长。

12.The econometric 计量经济学 analysis revealed significant trends in consumer spending habits.

该计量经济学分析揭示了消费者支出习惯的显著趋势。

13.Using econometric 计量经济学 methods, the team was able to estimate the elasticity of demand for various products.

利用计量经济学方法，团队能够估算各种产品的需求弹性。

14.The econometric 计量经济学 model helped policymakers understand the relationship between inflation and unemployment.

该计量经济学模型帮助政策制定者理解通货膨胀与失业之间的关系。

作文

Economics is a field that relies heavily on data analysis and statistical methods to understand complex relationships within markets and economies. One of the most significant tools used in this discipline is econometric 计量经济学 analysis. This branch of economics combines economic theory, mathematics, and statistical inference to test hypotheses and forecast future trends. The importance of econometric 计量经济学 analysis cannot be overstated, as it provides economists with the ability to quantify relationships between variables and make informed decisions based on empirical evidence. The application of econometric 计量经济学 techniques is vast and varied. For instance, policymakers often utilize these methods to evaluate the impact of fiscal policies on economic growth. By analyzing historical data, they can determine how changes in taxation or government spending influence key indicators such as GDP, unemployment rates, and inflation. This process allows for more effective policy formulation and implementation, ultimately leading to better economic outcomes. In addition to public policy, econometric 计量经济学 methods are employed in the private sector as well. Businesses use econometric 计量经济学 analysis to assess market demand, optimize pricing strategies, and evaluate the effectiveness of marketing campaigns. For example, a company might analyze sales data alongside advertising expenditure to ascertain the return on investment for its marketing efforts. Such analyses enable firms to allocate resources more efficiently and enhance their competitive advantage in the marketplace. Moreover, the rise of big data has significantly transformed the landscape of econometric 计量经济学. With access to vast amounts of information, economists can employ more sophisticated models that account for multiple variables and complex interactions. Machine learning techniques, for example, are increasingly being integrated into econometric 计量经济学 analysis, allowing for more accurate predictions and deeper insights into economic phenomena. As a result, the field continues to evolve, offering new methodologies and approaches to tackle pressing economic issues. However, the application of econometric 计量经济学 is not without its challenges. One of the primary concerns is the potential for model misspecification, which occurs when the chosen model fails to accurately represent the underlying data-generating process. This can lead to biased estimates and incorrect conclusions, ultimately undermining the validity of the analysis. Additionally, issues related to data quality and availability can pose significant obstacles for researchers attempting to conduct robust econometric 计量经济学 studies. Despite these challenges, the future of econometric 计量经济学 remains bright. As technology continues to advance, the tools available for data analysis will become even more powerful and accessible. This will empower economists to explore new questions and uncover insights that were previously unattainable. Ultimately, econometric 计量经济学 will play a crucial role in shaping our understanding of the economy and informing decision-making processes across various sectors. In conclusion, econometric 计量经济学 analysis is an indispensable component of modern economics. Its ability to merge theory with empirical data enables economists to draw meaningful conclusions and make informed recommendations. As we move forward, the continued development of econometric 计量经济学 techniques will undoubtedly enhance our capacity to address economic challenges and improve the overall well-being of society.

经济学是一个依赖于数据分析和统计方法来理解市场和经济中复杂关系的领域。在这个学科中，最重要的工具之一就是econometric 计量经济学分析。这个经济学的分支结合了经济理论、数学和统计推断，以检验假设和预测未来趋势。econometric 计量经济学分析的重要性不容小觑，因为它使经济学家能够量化变量之间的关系，并根据实证证据做出明智的决策。 econometric 计量经济学技术的应用广泛而多样。例如，政策制定者经常利用这些方法来评估财政政策对经济增长的影响。通过分析历史数据，他们可以确定税收或政府支出变化如何影响GDP、失业率和通货膨胀等关键指标。这个过程使得政策制定和实施更加有效，最终导致更好的经济结果。 除了公共政策，私营部门也使用econometric 计量经济学方法。企业利用econometric 计量经济学分析来评估市场需求、优化定价策略和评估营销活动的有效性。例如，一家公司可能会分析销售数据与广告支出之间的关系，以确定其营销投资的回报。这种分析使公司能够更有效地分配资源，并增强其在市场中的竞争优势。 此外，大数据的兴起显著改变了econometric 计量经济学的格局。随着获取大量信息的机会，经济学家可以采用更复杂的模型，考虑多个变量和复杂的相互作用。例如，机器学习技术正越来越多地被整合到econometric 计量经济学分析中，使得预测更加准确，对经济现象的深入洞察成为可能。因此，该领域不断发展，提供新的方法论和方法来应对紧迫的经济问题。 然而，econometric 计量经济学的应用并非没有挑战。一个主要的担忧是模型错误指定的可能性，即所选择的模型未能准确代表基础的数据生成过程。这可能导致偏差估计和错误结论，从而最终削弱分析的有效性。此外，与数据质量和可用性相关的问题可能对研究人员进行稳健的econometric 计量经济学研究构成重大障碍。 尽管面临这些挑战，econometric 计量经济学的未来仍然光明。随着技术的不断进步，数据分析的工具将变得更加强大和可访问。这将使经济学家能够探索新的问题，揭示以前无法获得的见解。最终，econometric 计量经济学将在塑造我们对经济的理解和为各个部门的决策过程提供信息方面发挥至关重要的作用。 总之，econometric 计量经济学分析是现代经济学中不可或缺的一部分。它将理论与实证数据结合的能力，使经济学家能够得出有意义的结论并提出明智的建议。随着我们向前发展，econometric 计量经济学技术的持续发展无疑将增强我们解决经济挑战和改善社会整体福祉的能力。