academic-paper-writer by meleantonio/awesome-econ-ai-stuff
npx skills add https://github.com/meleantonio/awesome-econ-ai-stuff --skill academic-paper-writer本技能帮助经济学家按照经济学期刊的规范,起草、构建和润色学术论文。它提供了针对不同类型论文的模板以及学术写作风格的指导。
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\section{Introduction}
% 引子 - 为什么这很重要?
[主题] 是经济学中的一个基本问题,对 [政策领域] 和 [更广泛的相关性] 具有启示意义。尽管已有大量研究,我们仍然缺乏关于 [具体空白] 的明确证据。
% 研究问题
本文探讨:[用平实语言描述的研究问题]?具体来说,我们检验是否 [问题的精确表述]。
% 答案预览
我们发现 [用一句话概括的主要结果]。这种效应是 [经济上显著 / 适度 / 异质性的],表现为 [定量总结:例如,"X 的一个标准差增加与 Z 的 Y 百分比增加相关"]。
% 方法论(简要)
为了识别这种效应,我们利用了 [识别策略:自然实验 / RCT / 工具变量 / RDD]。我们的数据来自 [数据来源],涵盖 [时间段] 和 [样本量] 个观测值。
% 贡献 / 相关文献
我们的论文对多个文献分支做出了贡献。首先,我们通过 [扩展内容] 扩展了 \citet{Author2020} 的工作。其次,我们提供了关于 [机制/渠道] 的新证据,补充了 \citet{OtherAuthor2019} 的研究。最后,我们的发现对 [政策/未来研究] 具有启示意义。
% 路线图
本文其余部分安排如下。第~\ref{sec:background} 节提供背景并回顾相关文献。第~\ref{sec:data} 节描述我们的数据和实证策略。第~\ref{sec:results} 节展示我们的主要发现。第~\ref{sec:robustness} 节讨论稳健性检验。第~\ref{sec:conclusion} 节总结全文。
\section{Results}
\label{sec:results}
% 开门见山展示主要发现
表~\ref{tab:main} 展示了我们的主要结果。第 (1) 列显示了不含控制变量的基线 OLS 设定。 [处理变量] 的系数为 [点估计值](标准误 = [SE]),在 [1/5/10]% 的水平上统计显著。
% 逐步添加控制变量
在第 (2) 列中,我们添加了 [控制变量组 1]。点估计值 [略微增加/略微减少/保持稳定] 至 [估计值]。第 (3) 列包含了 [控制变量组 2] 并添加了 [固定效应]。我们在第 (4) 列中的首选设定包含了 [完整控制变量],得出的结果为 [最终估计值]。
% 解释经济意义
为了衡量经济意义,请注意 [解释]。X 的一个标准差增加与结果变量 Y 的 [Y]% [增加/减少] 相关,大约相当于 [与均值/其他基准的比较]。
% 简要提及机制/异质性(如相关)
表~\ref{tab:hetero} 探讨了按 [维度] 的异质性。我们发现该效应在 [子群体] 中 [更大/更集中],这表明 [解释]。
\begin{table}[htbp]
\centering
\caption{主要结果:X 对 Y 的效应}
\label{tab:main}
\begin{tabular}{lcccc}
\hline\hline
& (1) & (2) & (3) & (4) \\
& OLS & + 控制变量 & + 固定效应 & 首选设定 \\
\hline
处理变量 & 0.052*** & 0.048*** & 0.041** & 0.039** \\
& (0.012) & (0.011) & (0.015) & (0.016) \\
\\
控制变量 & 否 & 是 & 是 & 是 \\
固定效应 & 否 & 否 & 是 & 是 \\
聚类标准误 & 否 & 否 & 否 & 是 \\
\\
观测值 & 10,000 & 9,850 & 9,850 & 9,850 \\
R 平方值 & 0.05 & 0.12 & 0.35 & 0.35 \\
\hline\hline
\multicolumn{5}{l}{\footnotesize 注:* p<0.10, ** p<0.05, *** p<0.01。} \\
\multicolumn{5}{l}{\footnotesize 括号内为标准误。} \\
\end{tabular}
\end{table}
\section{Conclusion}
\label{sec:conclusion}
% 重申问题和答案
本文研究了 [研究问题]。利用 [方法/数据],我们发现 [主要发现]。这一结果对 [稳健性检验] 是稳健的。
% 启示
我们的发现具有若干启示。对于政策而言,它们表明 [政策启示]。对于理论而言,它们为 [理论机制] 提供了支持,并对 [替代观点] 提出了挑战。
% 局限性(简要、诚实)
有几个局限性值得提及。首先,[局限性 1:例如,外部有效性]。其次,[局限性 2:例如,数据限制]。未来的研究可以通过 [建议] 来解决这些问题。
% 未来方向
本文为未来的工作开辟了几个方向。[方向 1]。[方向 2]。我们希望我们的发现能激发对 [更广泛主题] 的进一步研究。
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This skill helps economists draft, structure, and polish academic papers with proper conventions for economics journals. It provides templates for different paper types and guidance on academic writing style.
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For empirical papers, use:
\section{Introduction}
% Hook - Why does this matter?
[TOPIC] is a fundamental question in economics, with implications for
[POLICY AREA] and [BROADER RELEVANCE]. Despite extensive research,
we still lack clear evidence on [SPECIFIC GAP].
% Research question
This paper asks: [RESEARCH QUESTION IN PLAIN LANGUAGE]?
Specifically, we examine whether [PRECISE FORMULATION OF THE QUESTION].
% Preview of answer
We find that [MAIN RESULT IN ONE SENTENCE]. This effect is
[economically significant / modest / heterogeneous], with
[QUANTITATIVE SUMMARY: e.g., "a one standard deviation increase
in X associated with a Y percent increase in Z"].
% Methodology (brief)
To identify this effect, we exploit [IDENTIFICATION STRATEGY:
natural experiment / RCT / instrumental variable / RDD].
Our data come from [DATA SOURCE], covering [TIME PERIOD]
and [SAMPLE SIZE] observations.
% Contribution / Related literature
Our paper contributes to several strands of literature.
First, we extend the work of \citet{Author2020} by [EXTENSION].
Second, we provide new evidence on [MECHANISM/CHANNEL] that
complements \citet{OtherAuthor2019}. Finally, our findings
have implications for [POLICY/FUTURE RESEARCH].
% Roadmap
The remainder of the paper is organized as follows.
Section~\ref{sec:background} provides background and reviews
related literature. Section~\ref{sec:data} describes our data
and empirical strategy. Section~\ref{sec:results} presents our
main findings. Section~\ref{sec:robustness} discusses robustness
checks. Section~\ref{sec:conclusion} concludes.
\section{Results}
\label{sec:results}
% Lead with the main finding
Table~\ref{tab:main} presents our main results. Column (1) shows
the baseline OLS specification without controls. The coefficient
on [TREATMENT VARIABLE] is [POINT ESTIMATE] (s.e. = [SE]),
statistically significant at the [1/5/10] percent level.
% Add controls incrementally
In column (2), we add [CONTROL SET 1]. The point estimate
[increases/decreases slightly/remains stable] to [ESTIMATE].
Column (3) includes [CONTROL SET 2] and adds [FIXED EFFECTS].
Our preferred specification in column (4) includes [FULL CONTROLS]
and yields [FINAL ESTIMATE].
% Interpret magnitude
To gauge economic significance, note that [INTERPRETATION].
A one standard deviation increase in [X] is associated with
a [Y] percent [increase/decrease] in [OUTCOME], or roughly
[COMPARISON TO MEAN/OTHER BENCHMARK].
% Brief mention of mechanisms/heterogeneity if relevant
Table~\ref{tab:hetero} explores heterogeneity by [DIMENSION].
We find that the effect is [larger/concentrated among]
[SUBGROUP], suggesting that [INTERPRETATION].
\begin{table}[htbp]
\centering
\caption{Main Results: Effect of X on Y}
\label{tab:main}
\begin{tabular}{lcccc}
\hline\hline
& (1) & (2) & (3) & (4) \\
& OLS & + Controls & + FE & Preferred \\
\hline
Treatment & 0.052*** & 0.048*** & 0.041** & 0.039** \\
& (0.012) & (0.011) & (0.015) & (0.016) \\
\\
Controls & No & Yes & Yes & Yes \\
Fixed Effects & No & No & Yes & Yes \\
Cluster SE & No & No & No & Yes \\
\\
Observations & 10,000 & 9,850 & 9,850 & 9,850 \\
R-squared & 0.05 & 0.12 & 0.35 & 0.35 \\
\hline\hline
\multicolumn{5}{l}{\footnotesize Notes: * p<0.10, ** p<0.05, *** p<0.01.} \\
\multicolumn{5}{l}{\footnotesize Standard errors in parentheses.} \\
\end{tabular}
\end{table}
\section{Conclusion}
\label{sec:conclusion}
% Restate question and answer
This paper examined [RESEARCH QUESTION]. Using [METHOD/DATA],
we found that [MAIN FINDING]. This result is robust to
[ROBUSTNESS CHECKS].
% Implications
Our findings have several implications. For policy, they suggest
that [POLICY IMPLICATION]. For theory, they provide support for
[THEORETICAL MECHANISM] and challenge [ALTERNATIVE VIEW].
% Limitations (brief, honest)
Several limitations warrant mention. First, [LIMITATION 1:
e.g., external validity]. Second, [LIMITATION 2: e.g.,
data constraints]. Future research could address these by
[SUGGESTION].
% Future directions
This paper opens several avenues for future work.
[DIRECTION 1]. [DIRECTION 2]. We hope our findings
stimulate further research on [BROADER TOPIC].
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Tree of Thoughts (ToT) 思维之树:多智能体系统推理与自适应策略选择框架
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