econometrics

简明释义

英[ɪˌkɒnəˈmetrɪks]美[iˌkɑːnəˈmeˌtrɪks]

n. 计量经济学

英英释义

单词用法

同义词

反义词

例句

1.This paper presents essentiality, design purpose, structure, function and application results of econometrics computer aided instruction system.

介绍“计量经济学”计算机辅助教学的必要性，系统的设计目标、结构与功能，系统的应用效果。

2.This paper analyzes the relationship between econometrics and data mining in depth based on the conceptions of those two fields.

从数量经济学和数据挖掘的概念出发，分析了这两个领域的联系与区别。

3.The fundamental methods in this dissertation are the techniques from the financial econometrics and the guiding modeling methodology.

在研究中，本文将金融计量经济学方法作为研究的基本方法。

4.In 2011 the Editors of The Econometrics Journal initiated the annual Denis Sargan Econometrics Prize.

2011年，《计量经济学杂志》的编辑发起了一年一度的丹尼斯•萨根计量经济学奖.

5.Econometrics method, widely applied in every domain in economic research, possesses three basic factors: theory, methodology and data.

计量经济学方法已被广泛地应用于经济研究的各个领域，理论、方法、数据是计量经济研究的三大基本要素。

6.The roots of modern econometrics can be traced to the American economist Henry L. Moore .

根源的现代计量经济学可以追溯到美国经济学家亨利L。

7.Econometrics involves the extraction of information from data.

计量经济学涉及信息提取的数据。

8.The main contents include theory econometrics and applied economic metrology.

主要内容包括理论计量经济学和应用经济计量学。

9.In my economics class, we learned how to apply econometrics 计量经济学 to real-world problems.

在我的经济学课上，我们学习了如何将计量经济学应用于现实问题。

10.The study of economic trends often relies on econometrics 计量经济学 to analyze data.

经济趋势的研究通常依赖于计量经济学来分析数据。

11.Government policies are often evaluated using econometrics 计量经济学 to measure their effectiveness.

政府政策通常通过计量经济学进行评估，以衡量其有效性。

12.Researchers use econometrics 计量经济学 to forecast future economic conditions.

研究人员使用计量经济学来预测未来的经济状况。

13.The finance team employed econometrics 计量经济学 to assess the impact of interest rate changes on investment.

财务团队采用计量经济学评估利率变化对投资的影响。

作文

Econometrics is a branch of economics that applies statistical and mathematical methods to analyze economic data. It plays a crucial role in understanding economic relationships and testing hypotheses about economic behavior. By using econometric techniques, economists can model complex economic phenomena, forecast future trends, and evaluate the impact of various policies. The importance of econometrics (计量经济学) cannot be overstated; it provides the tools necessary for empirical analysis, helping researchers make informed decisions based on data rather than intuition alone.One of the primary goals of econometrics (计量经济学) is to establish causal relationships between different economic variables. For instance, an economist may want to determine whether an increase in education levels leads to higher income. By employing econometric models, they can control for confounding factors and isolate the effect of education on income. This process involves collecting data, specifying a model, estimating parameters, and conducting hypothesis tests. Each step is vital for ensuring the reliability of the results.Moreover, econometrics (计量经济学) is essential for policy evaluation. Governments and organizations rely on econometric analyses to assess the effectiveness of their policies. For example, when a government implements a new tax policy, econometricians can analyze data from before and after the policy's introduction to determine its impact on economic growth or income distribution. This evidence-based approach allows policymakers to make adjustments as needed, improving overall economic outcomes.In addition to policy evaluation, econometrics (计量经济学) is instrumental in forecasting economic trends. Economists use historical data to build predictive models that can estimate future economic conditions. These forecasts are invaluable for businesses, investors, and governments as they navigate uncertain economic environments. For example, during times of economic downturn, accurate forecasts can help organizations make strategic decisions to mitigate risks and capitalize on opportunities.Despite its strengths, econometrics (计量经济学) also faces challenges. One significant issue is the quality of data used in analyses. Inaccurate or incomplete data can lead to misleading conclusions. Therefore, econometricians must be diligent in data collection and validation processes. Additionally, the choice of model specification can greatly influence results. A poorly specified model may omit important variables or include irrelevant ones, leading to biased estimates.Furthermore, the interpretation of econometric results requires careful consideration. While statistical significance can indicate a relationship between variables, it does not imply causation. Economists must be cautious in drawing conclusions and consider alternative explanations for their findings. This critical thinking is essential in ensuring that the insights gained from econometrics (计量经济学) contribute meaningfully to economic theory and practice.In conclusion, econometrics (计量经济学) serves as a bridge between theoretical economics and real-world data. Its application enables economists to test theories, evaluate policies, and make predictions about future economic activity. As the field continues to evolve with advancements in technology and data availability, the role of econometrics (计量经济学) will only become more significant in shaping our understanding of the economy. Ultimately, mastering econometrics (计量经济学) equips individuals with the analytical skills necessary to tackle complex economic questions and contribute to informed decision-making in various sectors.

计量经济学是经济学的一个分支，运用统计和数学方法分析经济数据。它在理解经济关系和检验经济行为假设方面发挥着至关重要的作用。通过使用计量经济学技术，经济学家可以对复杂的经济现象进行建模、预测未来趋势，并评估各种政策的影响。计量经济学的重要性不容小觑；它提供了必要的工具进行实证分析，帮助研究人员基于数据而非直觉做出明智的决策。计量经济学的主要目标之一是建立不同经济变量之间的因果关系。例如，一位经济学家可能想确定教育水平的提高是否会导致收入的增加。通过采用计量经济模型，他们可以控制混杂因素，孤立教育对收入的影响。这个过程涉及数据收集、模型指定、参数估计和假设检验。每一步对于确保结果的可靠性都是至关重要的。此外，计量经济学在政策评估中也至关重要。政府和组织依赖计量经济分析来评估其政策的有效性。例如，当政府实施新的税收政策时，计量经济学家可以分析政策实施前后的数据，以确定其对经济增长或收入分配的影响。这种基于证据的方法使得决策者能够根据需要进行调整，从而改善整体经济结果。除了政策评估，计量经济学在预测经济趋势方面也发挥着重要作用。经济学家利用历史数据构建预测模型，以估计未来的经济状况。这些预测对企业、投资者和政府在不确定的经济环境中导航时极为宝贵。例如，在经济衰退时期，准确的预测可以帮助组织做出战略决策，以减轻风险并抓住机会。尽管有其优势，计量经济学也面临挑战。其中一个重要问题是用于分析的数据质量。不准确或不完整的数据可能导致误导性结论。因此，计量经济学家必须在数据收集和验证过程中保持谨慎。此外，模型的选择也会极大地影响结果。一个不良指定的模型可能遗漏重要变量或包含不相关变量，从而导致偏倚的估计。此外，计量经济学结果的解释需要仔细考虑。虽然统计显著性可以表明变量之间的关系，但并不意味着因果关系。经济学家在得出结论时必须谨慎，并考虑替代解释。这种批判性思维对于确保从计量经济学获得的见解对经济理论和实践作出有意义的贡献是必不可少的。总之，计量经济学在理论经济学与现实数据之间架起了一座桥梁。其应用使经济学家能够检验理论、评估政策，并预测未来的经济活动。随着技术和数据可用性的进步，该领域将继续发展，计量经济学的角色在塑造我们对经济的理解方面只会变得更加重要。最终，掌握计量经济学使个人具备了解决复杂经济问题的分析能力，并为各个部门的明智决策做出贡献。