Moment estimation with attrition:: An application to economic models

被引:19
作者
Abowd, JM [1 ]
Crépon, B
Kramarz, F
机构
[1] Cornell Univ, Ithaca, NY 14853 USA
[2] Inst Natl Stat & Etud Econ, Div Marches & Strategies Enterprises, INSEE CREST, F-92245 Malakoff, France
[3] CREST, INSEE, Dept Rech, F-92245 Malakoff, France
关键词
adjustment costs; attrition audit; business missing data; dynamic labor demand; generalized method of moments; reweighted estimation;
D O I
10.1198/016214501753381878
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We study the effects of the attrition of firms from longitudinal samples on the estimates of dynamic labor demand models. The reasons for attrition from business-based longitudinal samples are extremely varied and are related to both the economic activity of the business and the methods of acquiring sampling frame information for those businesses. We do an exhaustive study of the available information regarding the attrition of French firms from our analysis sample. We propose flexible attrition models based on a longitudinal generalization of the missing at random assumption. We implement these models with a weighted generalized method of moments estimator that is consistent and efficient (in the class of moment estimators). Our flexible attrition models substantially alter and improve the estimation results for dynamic factor demand models. We attribute the improvement to the ability of our models to handle the very diverse reasons for attrition that our audit uncovered without requiring specific knowledge of which reason applies to a particular exiting firm.
引用
收藏
页码:1223 / 1231
页数:9
相关论文
共 29 条
[1]   High wage workers and high wage firms [J].
Abowd, JM ;
Kramarz, F ;
Margolis, DN .
ECONOMETRICA, 1999, 67 (02) :251-333
[2]  
ABOWD JM, 2001, COSTS HIRING SEPARAT
[3]  
ABOWD JM, 1997, 214 NBER
[4]  
ABOWD JM, 1995, 180 NBER
[5]   ASYMPTOTIC EFFICIENCY IN ESTIMATION WITH CONDITIONAL MOMENT RESTRICTIONS [J].
CHAMBERLAIN, G .
JOURNAL OF ECONOMETRICS, 1987, 34 (03) :305-334
[6]  
CHANTEREAU J, 1995, INSEE INTERNAL PUBLI
[7]   Research and development, competition and innovation - Pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity [J].
Crepon, B ;
Duguet, E .
JOURNAL OF ECONOMETRICS, 1997, 79 (02) :355-378
[8]  
Crepon B, 1998, J ECONOMETRICS, V82, P135
[9]  
FRANCOZ D, 1996, INSEE 1 JUN, P1
[10]  
FRECHOU H, 1997, 75 INSEE