My da|ra Login

Detailed view

metadata language: English

Replication data for: What Linear Estimators Miss: The Effects of Family Income on Child Outcomes

Version
V0
Resource Type
Dataset
Creator
  • Løken, Katrine V.
  • Mogstad, Magne
  • Wiswall, Matthew
Publication Date
2012-04-01
Description
  • Abstract

    We assess the implications of nonlinearity for IV and FE estimation when the estimated model is inappropriately assumed to be linear. Our application is the causal link between family income and child outcomes. Our nonlinear IV and FE estimates show an increasing, concave relationship between family income and children's outcomes. We find that the linear estimators miss the significant effects of family income because they assign little weight to the large marginal effects in the lower part of the income distribution. We also show that the linear IV and FE estimates differ primarily because of different weighting of marginal effects. (JEL C26, D14, J12, J13)
Availability
Download
Relations
  • Is supplement to
    DOI: 10.1257/app.4.2.1 (Text)
Publications
  • Løken, Katrine V, Magne Mogstad, and Matthew Wiswall. “What Linear Estimators Miss: The Effects of Family Income on Child Outcomes.” American Economic Journal: Applied Economics 4, no. 2 (April 2012): 1–35. https://doi.org/10.1257/app.4.2.1.
    • ID: 10.1257/app.4.2.1 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-12-07

Løken, Katrine V.; Mogstad, Magne; Wiswall, Matthew (2012): Replication data for: What Linear Estimators Miss: The Effects of Family Income on Child Outcomes. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E116376