{"title":"利用新西兰纵向商业数据库估算生产函数","authors":"R. Fabling, David C. Maré","doi":"10.2139/ssrn.2660548","DOIUrl":null,"url":null,"abstract":"This paper is intended as a resource for researchers using the New Zealand Longitudinal Business Database (LBD) to study the productivity of New Zealand firms. First, it documents the methods used for creating a consistent dataset of production data, combining survey and administrative data sources. Second, it discusses a range of identification and estimation issues that arise when using the data for the estimation of multi-factor productivity. Finally, it demonstrates the value and usefulness of the data by presenting and comparing a range of productivity estimates for a single industry.","PeriodicalId":448105,"journal":{"name":"ERN: Productivity (Topic)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":"{\"title\":\"Production Function Estimation Using New Zealand's Longitudinal Business Database\",\"authors\":\"R. Fabling, David C. Maré\",\"doi\":\"10.2139/ssrn.2660548\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is intended as a resource for researchers using the New Zealand Longitudinal Business Database (LBD) to study the productivity of New Zealand firms. First, it documents the methods used for creating a consistent dataset of production data, combining survey and administrative data sources. Second, it discusses a range of identification and estimation issues that arise when using the data for the estimation of multi-factor productivity. Finally, it demonstrates the value and usefulness of the data by presenting and comparing a range of productivity estimates for a single industry.\",\"PeriodicalId\":448105,\"journal\":{\"name\":\"ERN: Productivity (Topic)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Productivity (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2660548\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Productivity (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2660548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Production Function Estimation Using New Zealand's Longitudinal Business Database
This paper is intended as a resource for researchers using the New Zealand Longitudinal Business Database (LBD) to study the productivity of New Zealand firms. First, it documents the methods used for creating a consistent dataset of production data, combining survey and administrative data sources. Second, it discusses a range of identification and estimation issues that arise when using the data for the estimation of multi-factor productivity. Finally, it demonstrates the value and usefulness of the data by presenting and comparing a range of productivity estimates for a single industry.