{"title":"企业工资溢价测量中信号与噪声的区别","authors":"N. Chanut","doi":"10.2139/ssrn.3470571","DOIUrl":null,"url":null,"abstract":"There is a growing interest about firm-side drivers of wage differentials, as different studies show that this component is driving the increase in inequality in many developed countries. In this paper, I contribute to this literature in three respects. First, I reconsider the widely used model from Abowd, Kramarz and Margolis (1999) used to decompose the respective contributions of firm and individual heterogeneity. I suggest an easily applicable split-sample procedure to uncover the extent of overfitting in this model. Using French administrative data, I find evidence of sizeable overfitting: conservative estimates suggest that the contribution of firm heterogeneity to wage inequality is overestimated by at least 25%. Second, I provide a simple procedure to recover the correct signal variance of firm effects and the covariance between individual and firm effects. Third, I show how to recover better prediction of the firm effects using shrinkage estimators. This matters quantitatively: due to shrinkage, half of the firm effects are shrunk by 38% or more, and 40% of firms end up in different deciles when ranked according to their firm effects.","PeriodicalId":196465,"journal":{"name":"ERN: Wages; Intergenerational Income Distribution (Topic)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distinguishing Between Signal and Noise in the Measurement of the Firm Wage Premium\",\"authors\":\"N. Chanut\",\"doi\":\"10.2139/ssrn.3470571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a growing interest about firm-side drivers of wage differentials, as different studies show that this component is driving the increase in inequality in many developed countries. In this paper, I contribute to this literature in three respects. First, I reconsider the widely used model from Abowd, Kramarz and Margolis (1999) used to decompose the respective contributions of firm and individual heterogeneity. I suggest an easily applicable split-sample procedure to uncover the extent of overfitting in this model. Using French administrative data, I find evidence of sizeable overfitting: conservative estimates suggest that the contribution of firm heterogeneity to wage inequality is overestimated by at least 25%. Second, I provide a simple procedure to recover the correct signal variance of firm effects and the covariance between individual and firm effects. Third, I show how to recover better prediction of the firm effects using shrinkage estimators. This matters quantitatively: due to shrinkage, half of the firm effects are shrunk by 38% or more, and 40% of firms end up in different deciles when ranked according to their firm effects.\",\"PeriodicalId\":196465,\"journal\":{\"name\":\"ERN: Wages; Intergenerational Income Distribution (Topic)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Wages; Intergenerational Income Distribution (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3470571\",\"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: Wages; Intergenerational Income Distribution (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3470571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distinguishing Between Signal and Noise in the Measurement of the Firm Wage Premium
There is a growing interest about firm-side drivers of wage differentials, as different studies show that this component is driving the increase in inequality in many developed countries. In this paper, I contribute to this literature in three respects. First, I reconsider the widely used model from Abowd, Kramarz and Margolis (1999) used to decompose the respective contributions of firm and individual heterogeneity. I suggest an easily applicable split-sample procedure to uncover the extent of overfitting in this model. Using French administrative data, I find evidence of sizeable overfitting: conservative estimates suggest that the contribution of firm heterogeneity to wage inequality is overestimated by at least 25%. Second, I provide a simple procedure to recover the correct signal variance of firm effects and the covariance between individual and firm effects. Third, I show how to recover better prediction of the firm effects using shrinkage estimators. This matters quantitatively: due to shrinkage, half of the firm effects are shrunk by 38% or more, and 40% of firms end up in different deciles when ranked according to their firm effects.