Panel data for the 15 Chilean regions with Weather and GDP variables

We build annual region-industry level GDP series for Chile over the period 1985-2017 from the National Accounts data publicly available from the Central Bank of Chile. There are 12 industries and 15 regions (regional denomination of 2007). For the years 1985-2007, we created a 15 region and 12 industry panel series assuming that each of the divided regions I and X shares of industry-level GDP is constant between 1985-2008. We create series of both nominal and real GDP where the real GDP is adjusted using the UF or the value of real monetary unit which is indexed to the CPI. The 12 industries include: 1. Agriculture and Forestry, 2. Fishing, 3. Mining, 4. Manufacturing, 5. Electricity, Gas, and Water (EGA), 6. Construction, 7. Commerce, Restaurants, and Hotels, 8. Transport and Communications, 9. Financial Services, 10. Home Ownership and property, 11. Personal Services, 12. Public Administration. We also obtain weather data available from the University of Delaware Air Temperature and Precipitation dataset that provides gridded mean monthly surface air temperature (in Celsius degrees) and total monthly precipitation (in centimeters per month) data from 1900-2017. The data covers the terrestrial area of the globe with a grid size of 0.5 degree latitude x 0.5 degree longitude, which is approximately 56km x 56km at the equator. The grid squares intersect the area of Chile. We use geospatial software (QGIS) to aggregate the weather data to the regional level. First, we determine the fraction of each grid that falls within the borders of each region. Then, for each region, we create the regional weather series as a weighted average of the weather series of each grid where the weight is equal to the share of the grid that intersects the region. In this way, a grid square that has ½ of its area intersecting a region receives ½ the weight of a grid square that completely intersects the region.本研究基于智利中央银行公开可得的国民经济核算数据，构建了1985-2017年智利分区域-分行业的年度GDP序列。该数据集涵盖12个行业门类与15个行政区域（采用2007年区域命名标准）。针对1985-2007年的数据，本研究假设拆分后的I类与X类区域的行业层面GDP占比在1985-2008年间保持恒定，据此构建了包含15个区域、12个行业的面板序列。本研究同时构建了名义GDP与实际GDP序列：实际GDP通过UF（与居民消费价格指数（Consumer Price Index, CPI）挂钩的实际货币单位价值）进行平减调整。 12个行业门类具体包括：1. 农林业，2. 渔业，3. 采矿业，4. 制造业，5. 电力、燃气及水的生产和供应业（EGA），6. 建筑业，7. 商贸、餐饮与酒店业，8. 交通运输与通信业，9. 金融服务业，10. 住房与房地产业，11. 居民服务业，12. 公共管理业。 本研究同时获取了特拉华大学气温与降水数据集（University of Delaware Air Temperature and Precipitation dataset）中的气象数据，该数据集提供了1900-2017年的网格化逐月地表平均气温（单位：摄氏度）与逐月总降水量（单位：厘米/月）序列。该数据集覆盖全球陆地区域，网格分辨率为0.5°纬度×0.5°经度，在赤道处对应的格点实际尺度约为56km×56km。上述格点覆盖智利全域范围。本研究借助地理空间软件（QGIS）将气象数据聚合至区域层面：首先计算每个格点落入各行政区域的面积占比；随后，以格点落入对应区域的面积占比为权重，对覆盖该区域的所有格点的气象序列进行加权平均，以此构建各区域的气象序列。据此，若某一格点仅有一半面积落入某区域，则其权重为完全落入该区域的格点权重的1/2。