经济学家
想在您的网站上显示这个摘要吗？嵌入代码：
自动化风险
中等风险（41-60%）：中等风险的职业通常涉及常规任务，但仍需要一些人类的判断和交互。
有关这个分数是什么以及如何计算的更多信息可在这里找到。
用户投票
我们的访客投票表示，这个职业被自动化的可能性很低。 然而，我们生成的自动化风险等级暗示了更高的自动化可能性：51%的自动化机会。
你认为自动化的风险是什么？
经济学家在未来20年内被机器人或人工智能取代的可能性有多大？
情感
以下图表会在有大量投票数据可以呈现有意义的数据时包含在内。这些视觉表示显示了用户投票结果随时间的变化，提供了对情绪趋势的重要指示。
随着时间的推移的情绪（季度）
随着时间（每年）的情绪变化
增长
预计"Economists"的工作空缺数量将在2032内增长5.7%
总就业人数和预计的职位空缺
更新的预测将在09-2023到期.
工资
在2022，'Economists'的年度中位数工资为$113,940，或每小时$54。
'Economists'的薪资比全国中位工资高146.0%，全国中位工资为$46,310。
随着时间推移的工资
体积
截至2022，在美国有16,370人被雇佣为'Economists'。
这代表了全国就业劳动力的大约< 0.001%
换句话说，大约每9 千人中就有1人被雇佣为“Economists”。
工作描述
进行研究，准备报告，或制定计划解决与商品和服务的生产与分配或货币和财政政策相关的经济问题。可能会使用抽样技术和计量经济学方法收集和处理经济和统计数据。
SOC Code: 19-3011.00
资源
如果您正在考虑开始新的职业生涯，或者想要换工作，我们已经为您创建了一个方便的工作搜索工具，它可能会帮助您找到那个完美的新角色。
评论
留下评论
they consistantly display an inability to model any form of human behaviour and the lack of these variables in their data have lead to perpetual disaterous global economic crashes.
AI will doubtless surpass human economists in the very short term and as a result, large, medium and even small business will dispence with the need for any form of human based economic processes which offer very little financial return for the cost incurred.
Cause economists are indeed in demand in "High Demand" and economists are aware of automations and risk of losing jobs.
So how the heck you would want a machine to take over the job?? Without human economists our economy will be unstable and not accurate at all.
We need human economists not "machines". Economists are highly important it's our society our life we couldn't live without it.
We don't expect businesses to fail we need to accommodate that.
Much of the rest - The interpretations, the use of theory to explain results, figuring out why the theory often doesn't carry over to the real world, understanding the human behavior behind complex systems of humans messing things up together, figuring out why This Time Is (or isn't) Different - all this requires a great deal of intuition, persuasion, creativity, and intuitive leaps, in addition to the knowledge, information, data, and models we learn.
It doesn't at this time appear that we'll get AI that good within 2 decades. I suppose it's possible, we could hit the Singularity, but I doubt it in that time frame
I agree with you that the field will become automated, but not in the way that you mean it: as a one-time formula where you click a button and "the answer" is computed. Because economics (and actuarial science) are far from being fully understood. Likewise, their models are far from perfect at generating an ideal solution. To achieve a perfect model, all relevant pieces of information regarding how every individual human will make every future decision must be known (which is impossible), but because we have more data and analysis tools every day, the practice of studying economics will continue to be a valuable and profitable area of expertise.
Automation does not mean extinction!!!!
Economics is human action, as Ludwig von Mises would say, it is impossible to do economics without humans.
关于这个职业请留下您的评论