Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective

By James J. Heckman. 2000

539 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ed179b7d845c185773ef4147b45341922ba7715e

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In Economics and Econometrics

Citations in the corpus

On the Empirics of Social Capital (2002, unknown): “As recognised by Heckman (2000), the establishment of causal relationships is fundamentally difficult:”
Identification and Inference for Econometric Models: On Specifying Graphical Models for Causation and the Identification Problem (2005, unknown): “Heckman (2000) traces the development of econometric thought from Haavelmo and Frisch onwards, stressing the role of “structural” or “invariant” parameters.”
Sargan's Intrumental Variables Estimation and the Generalized Method of Moments (2002, background): “This switch of emphasis took place even though the relative importance of simultaneity and measurement error had not been clearly established in many empirical areas (see Goldberger 1972, p. 993; Heckman 2000, pp. 71–72).”
Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence (2004, background): “I. Introduction I DENTIFICATION and estimation of economic causalrelationships has been a central theme in the history of econometrics (Heckman, 2000).”
Complexity and Empirical Economics (2005, background): “…outcomes, where heterogeneity in who receives treatments and in the effects of treatments are of first order importance in evaluating a given policy intervention (Heckman, 2000, 2001; Manski, 1995).8 Why would heterogeneity across the objects under study matter in interpreting scaling findings?”
1. The Scientific Model of Causality (2005, background): “Equations (9) and (10) describing ex post outcomes are some- times called Marshallian causal functions (see Heckman 2000).”
The Role of Information and Financial Reporting in Corporate Governance and Debt Contracting (2010, background): “(See, for example, Heckman, 2000, 2001, 2008, and Imbens and Wooldridge, 2009, for excellent reviews, and Larcker and Rusticus, 2010, for a more thorough discussion of instrumental variables in the context of accounting research.)”
Instruments, Randomization, and Learning about Development (2010, background): “" Heckman (2000) suggests using the term " external " (which he traces back to Wright and Frisch in the 1930s) for the Merriam-Webster definition, for variables whose values are not set or caused by the variables in the model and keeping " exogenous " for the orthogonality condition that is…”
Overdispersion and Poisson Regression (2008, background): “In practice, it is likely that excess variation around fitted values results from specification errors in the systematic part of the Poisson regression model: omitted variables and incorrect functional forms (Berk 2003; Box 1976; de Leeuw 1994; Freedman 1987; Heckman 1999; Manski 1990).”