Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data

By John M. Abowd, R. Creecy, Francis Kramarz. 2002

539 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/683163bdc5521134b2163415e99f777b0a6c5f60

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Citations in the corpus

Managerial Attributes and Executive Compensation (2011, unknown): “First, manager fixed compensation effects can be interpreted as portable human capital (Abowd et al., 2002) and when a manager loses his job, it may not be costly to find another job that values such portable human capital.”
A Distributional Framework for Matched Employer Employee Data (2019, methodology): “See Abowd et al. (2004), Andrews et al. (2008, 2012), and recently Kline et al. (2018) for methods to address incidental parameter bias in fixed-effects regressions.”
The spatial sorting and matching of skills and firms (2009, unknown): “31 In Table 3, we then use the individual fixed effects obtained from the regression in column (5) of Table 2 and compute summary statistics of the distribution of skills of residents as well as of migrants (based on workplace) from and to LD and HD provinces.”
Teacher qualifications and student achievement in urban elementary schools (2009, methodology): “Thus, we estimate the model using a preconditioned conjugate gradient method described in Abowd et al. (2002).”
Common Errors: How to (and Not to) Control for Unobserved Heterogeneity (2014, methodology): “By compressing the matrix of indicator variables, the required memory can be significantly reduced (Abowd, Creecy, and Kramarz 2002).”
Firms and the Decline in Earnings Inequality in Brazil (2017, unknown): “Similar conclusions have been reached among others for Germany (Andrews et al., 2008; Card et al., 2013), Italy (Iranzo et al., 2008), Portugal (Card et al., 2016), Brazil (Lopes de Melo, 2015), Sweden (Bonhomme et al., 2016), Denmark (Bagger and Lentz, 2016), and the United States (Abowd et al., 19”
The Value of Bosses (2014, unknown): “E2: Do bosses matter because they teach or because they motivate? Which dominates? Given equations (1) and (2), some assumptions must be made to distinguish between teaching and motivation.”
On the direct and indirect real effects of credit supply shocks (2019, unknown): “In practice, we identify 11 groups in our data using the algorithm in Abowd, Creecy, and Kramarz (2002).”
The Immigrant Wage Differential within and across Establishments (2008, background): “Interestingly, these effects are substantially larger for immigrant women (6% compared to 2%).”
Estimating spillovers using panel data, with an application to the classroom (2012, unknown): “(2005) and Abowd et al. (1999), to illustrate the difficulties in estimating large numbers of fixed effects.”
High wage workers and low wage firms: negative assortative matching or limited mobility bias? (2008, background): “Keeping J exactly fixed is not possible because we discard all observations that do not belong to the biggest group; it is well known that the identification of firm effects is only possible within a group, where a group is defined by the movement of workers between firms (Abowd et al., 2002).”