An empirical analysis of earnings dynamics among men in the PSID: 1968-1989

By John Geweke, Michael P. Keane. 2000

175 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Gender Studies, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/647730b47c447f1a5981569b1a6cb2d6f6b3ddc1

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Citations in the corpus

MCMCpack: Markov chain Monte Carlo in R (2011, background): “These four core frameworks are a theory of hegemony by Gilpin (1981), a theory of the world system by Wallerstein (1983), the long wave in the global economy by Goldstein (1988), and the world leadership cycle by Modelski and Thompson (1988).”
Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework (2015, unknown): “ait = h(ai,t−1, ci,t−1, yi,t−1, ηi,t−1, ageit, ξi, υ̃it), (29)”
Changes in the Distribution of Income Volatility (2008, background): “xtreme income changes, by the increasingly fat tails of the unconditional distribution of income changes. The fat tails of the unconditional distribution of income changes has also been documented in Geweke and Keane (2000). In its reduced form, our paper shows that these increasingly fat tails are ”
Labor Supply and Taxes: A Survey (2011, methodology): “The Wales and Woodland (1979) estimates, obtained using married men from the PSID, are quite different from the earlier literature.”
Smoothly mixing regressions (2007, methodology): “…work in Bayesian econometrics that concentrates on flexible modeling of ε = y − E (y | x) under the assumption that ε is i.i.d. and independent of x. Geweke and Keane (2000) uses a finite mixture of normals model for transitory shocks to earnings in an otherwise conventional life-cycle model…”
Earnings, consumption and lifecycle choices (2010, methodology): “However three papers stand out for their attempt to model the process in a richer fashion: Geweke and Keane (2000) and Chamberlain and Hirano (1999) use a Bayesian approach and allow for more complex dynamics and the latter for heterogeneity in the dynamics of income; Browning, Ejrnaes and Alvarez…”
Empirical Likelihood Methods in Econometrics: Theory and Practice (2006, background): “characteristic of empirical models of income dynamics (see Geweke and Keane (2000) and Hirano”
Growth and welfare effects of business cycles in economies with idiosyncratic human capital risk (2003, background): “For strong evidence for such a deviation from the normal-distribution framework, see Brav, Constantinides, and Greczy (2002) and Geweke and Keane (2000).”
Generalized Non-Parametric Deconvolution with an Application to Earnings Dynamics (2010, background): “EN [ eitY ] = ∂(2) lmκ̂Y (t), (16) where EN denotes the empirical expectation operator.”
The optimal choice of moments in dynamic panel data models (2009, background): “For example, there is a stream of studies concerning income dynamics (Lillard and Willis (1978), MaCurdy (1982), Geweke and Keane (2000), and Hirano (2002)).”
Semiparametric Bayes analysis of longitudinal data treatment models (2002, background): “If necessary, further realism can be introduced along the lines discussed by Geweke and Keane (2000), Hirano (1999), and Vella and Verbeek (1998) in other contexts.”
Panel Data Models: Some Recent Developments (2001, unknown): “…classical and Bayesian flexible estimators of error component distributions lHorowitz and Markatou ( 1996), Chamberlain and Hirano ( 1999), Geweke and Keane ( 2000)l, other nonparametric and semiparametric panel data models lBaltagi, Hidalgo and Li ( 1996), Li and Stengos ( 1996), Li and…”