{"title":"估计黄金的cagan型需求函数:1561-1913","authors":"A. Deviatov","doi":"10.31477/rjmf.201903.122","DOIUrl":null,"url":null,"abstract":"Long time series on gold production and the value of gold, taken from Jastram's book The Golden Constant, are used to estimate a Cagan-type demand function that relates the total real value of gold to its expected rate of return. The model assumes that gold production and a latent scale variable (income or consumption) are jointly exogenous and that the data are measured with error. The data reject the model: the estimates imply that the real value of gold varies a great deal relative to the expected return and depends on it negatively, rather than positively.","PeriodicalId":358692,"journal":{"name":"Russian Journal of Money and Finance","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating а Cagan-type Demand Function for Gold: 1561–1913\",\"authors\":\"A. Deviatov\",\"doi\":\"10.31477/rjmf.201903.122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Long time series on gold production and the value of gold, taken from Jastram's book The Golden Constant, are used to estimate a Cagan-type demand function that relates the total real value of gold to its expected rate of return. The model assumes that gold production and a latent scale variable (income or consumption) are jointly exogenous and that the data are measured with error. The data reject the model: the estimates imply that the real value of gold varies a great deal relative to the expected return and depends on it negatively, rather than positively.\",\"PeriodicalId\":358692,\"journal\":{\"name\":\"Russian Journal of Money and Finance\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Russian Journal of Money and Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31477/rjmf.201903.122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Money and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31477/rjmf.201903.122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating а Cagan-type Demand Function for Gold: 1561–1913
Long time series on gold production and the value of gold, taken from Jastram's book The Golden Constant, are used to estimate a Cagan-type demand function that relates the total real value of gold to its expected rate of return. The model assumes that gold production and a latent scale variable (income or consumption) are jointly exogenous and that the data are measured with error. The data reject the model: the estimates imply that the real value of gold varies a great deal relative to the expected return and depends on it negatively, rather than positively.