OECD Data Explorer 的宏观、劳动力、教育、创新、社会与地区指标入口。适合 OECD 国家面板、政策比较和国际统计描述；使用时应保留 dataset、measure、unit、frequency 和 seasonal adjustment。
OECD Data Explorer — rolling · updated: rolling · official pageOECD Data Explorer — Macro and Social Indicators registers 11 variables — 3 commonly used as dependent variables, 3 as core regressors and 7 as controls. Common research directions for this dataset include: OECD 劳动力市场比较, 研发强度与经济增长.
OECD 劳动力市场比较: DV UNEMP_RATE, IV GDP_GROWTH, EDU_ATTAIN, controls CPI_YOY, REF_AREA, TIME_PERIOD.
研发强度与经济增长: DV GDP_GROWTH, IV RND_GDP, controls UNEMP_RATE, CPI_YOY, REF_AREA.
| name | label | type/role | data file | description · keywords |
|---|---|---|---|---|
| REF_AREA | 国家/地区代码 Reference area | identifier / identifier | sdmx | OECD reference area code，常为 ISO-like 国家代码 countryarea国家 |
| TIME_PERIOD | 时期 Time period | identifier / time | sdmx | 观察期，可能是年度、季度或月度 timeyearperiod |
| FREQ | 频率 Frequency | categorical / control | sdmx | A/Q/M 等频率代码；不同频率不能直接合并 frequency频率 |
| MEASURE | 指标/度量 Measure | categorical / identifier | sdmx | OECD dataset 内的具体指标或度量维度 measureindicator |
| UNIT_MEASURE | 计量单位 Unit of measure | categorical / control | sdmx | 指数、百分比、货币、人数等单位，回归前必须统一 unit单位 |
| OBS_VALUE | 观测值 Observation value | continuous / dv,iv | sdmx | OECD 导出的指标数值；具体含义由 dataset + measure + unit 决定 value观测值 |
| GDP_GROWTH | 实际 GDP 增长率 Real GDP growth | continuous / dv,control | sdmx | OECD 国民账户中的实际 GDP 增长相关指标；导出时需保留频率与单位 GDPgrowth经济增长 |
| UNEMP_RATE | 失业率 Unemployment rate | continuous / dv,control | sdmx | OECD 劳动力市场失业率指标，通常为百分比 unemploymentlabor market失业率 |
| CPI_YOY | CPI 通胀率 Consumer price inflation | continuous / control | sdmx | 消费者价格指数同比或年度通胀率，需确认单位和频率 CPIinflation通胀 |
| RND_GDP | 研发支出占 GDP 比重 Gross domestic expenditure on R&D as % of GDP | continuous / iv,control | sdmx | 研发投入强度，创新研究和国家比较常用 R&Dinnovation研发 |
| EDU_ATTAIN | 教育程度指标 Educational attainment indicator | continuous / iv,control | sdmx | OECD 教育程度或受教育人口占比指标；具体层级需看 measure educationattainment教育 |
The codebook is an open lookup. The Wizard consumes the same codebook to drive code generation — upload your data and the system auto-recognises variables, applies cleaning rules, recommends research designs, runs regressions and produces a Word report.