Download fineval/json/econometrics/dev.json from USTC-KnowledgeComputingLab/FinLLM-EvalSets: direct link, hf CLI and curl.
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https://huggingface.co/datasets/USTC-KnowledgeComputingLab/FinLLM-EvalSets/resolve/main/fineval/json/econometrics/dev.json
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hf download hf://datasets/USTC-KnowledgeComputingLab/FinLLM-EvalSets/fineval/json/econometrics/dev.json
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2.39 kB
| [ | |
| { | |
| "id": "econometrics_0", | |
| "question": "对于联立方程计量经济学模型的估计方法,下列说法错误的是____。", | |
| "A": "间接最小二乘法适用于恰好识别的结构方程的参数估计", | |
| "B": "二阶段最小二乘法可适用于过度识别的结构方程的参数估计", | |
| "C": "采用二阶段最小二乘法得到结构方程的参数估计量是无偏的", | |
| "D": "二阶段最小二乘法是一种工具变量法", | |
| "answer": "C" | |
| }, | |
| { | |
| "id": "econometrics_1", | |
| "question": "假如联立方程模型中,第$i$个方程排除的变量中没有一个在第$j$个方程中出现,则第$i$个方程是____。", | |
| "A": "可识别的", | |
| "B": "恰好识别", | |
| "C": "过度识别", | |
| "D": "不可识别", | |
| "answer": "A" | |
| }, | |
| { | |
| "id": "econometrics_2", | |
| "question": "对于多元线性回归模型$Y=X\\beta+\\mu$。其中,$X$为$n\\times(k+1)$矩阵,$n$为样本容量,$k$为解释变量的个数,$\\hat{\\beta}$为$k+1$阶列向量。该模型参数的普通最小二乘估计为$\\hat{\\beta}=(X^{T}X)^{-1}(X^{T}Y)$。则欲使$\\hat{\\beta}$存在,样本容量$n$的最小值为____。", | |
| "A": "$k$", | |
| "B": "$k+1$", | |
| "C": "$k-1$", | |
| "D": "30", | |
| "answer": "B" | |
| }, | |
| { | |
| "id": "econometrics_3", | |
| "question": "下列关于异方差性检验的叙述,正确的是____。", | |
| "A": "通过图示法可以精确断定模型是否存在异方差性", | |
| "B": "G-Q检验需要对样本进行排序", | |
| "C": "G-Q检验不需要对样本进行排序", | |
| "D": "怀特检验需要对样本进行排序", | |
| "answer": "B" | |
| }, | |
| { | |
| "id": "econometrics_4", | |
| "question": "为了研究居民的收入水平与购买商业保险额之间的关系,调查组对某地区居民进行随机抽样调查,调查结果显示收入水平$X$与购买商业保险额$Y$之间的相关系数为0.526。根据以上研究结果可以得出____。", | |
| "A": "该地区所有居民的收入水平$X$与购买商业保险额$Y$之间的相关系数也是0.526", | |
| "B": "购买商业保险额变量中大约有28%可以由居民的收入水平$X$与购买商业保险额$Y$之间的线性关系解释", | |
| "C": "如果该地区居民收入水平降低,肯定会导致购买商业保险的数额减少", | |
| "D": "由于二者间的相关系数较低,说明二者间不存在线性关系", | |
| "answer": "B" | |
| } | |
| ] |