Dynamic Discrete Choice Structural Models: A Survey

By V. Aguirregabiria, P. Mira. Social Science Research Network, 2010

557 citations recorded by the source corpus.

This paper reviews methods for the estimation of dynamic discrete choice structural models and discusses related econometric issues. We consider single-agent models, competitive equilibrium models and dynamic games. The methods are illustrated with descriptions of empirical studies which have applied these techniques to problems in different areas of economics. Programming codes for some of the estimation methods are available in a companion web page.

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Citations in the corpus

Invited Paper - Learning Models: An Assessment of Progress, Challenges, and New Developments (2011, unknown): “We will not give details of these computational methods here, but refer the reader to surveys by Keane, Todd and Wolpin (2011), Aguirregebirria and Mira (2010) and Geweke and Keane (2001) and Rust (1994), among others.”
Semiparametric Inference in Dynamic Binary Choice Models, Second Version (2014, background): “See Eckstein and Wolpin (1989), Rust (1994), Pakes (1994), Miller (1997), Aguirregabiria and Mira (2010) and Keane, Todd, and Wolpin (2011) for surveys of the literature.”
Dynamic Wage and Employment Effects of Elder Parent Care (2015, background): “(30)Aguirregabiria and Mira (2010) provide a detailed discussion of this initial conditions problem and possible solutions, including the one described above.”
The endogenous grid method for discrete‐continuous dynamic choice models with (or without) taste shocks (2017, background): “This assumption is typically invoked in microeconometric analyses of dynamic discrete choice models where numerical performance boosted by closed-form choice probabilities is particularly important; see, for example, Rust (1994) and the recent survey by Aguirregabiria and Mira (2010). Some recent st”
Counterfactual Sensitivity and Robustness (2019, background): “The DDC literature is extensive; see Aguirregabiria and Mira (2010) and Arcidiacono and Ellickson (2011) for surveys.”
Labor Supply and Taxes: A Survey (2011, methodology): “102 Alternative solution methods are discussed in detail in a number of references, including Rust (1987), Geweke and Keane (2001) and Aguirregebaria and Mira (2010)”
A nested recursive logit model for route choice analysis (2015, methodology): “There are several different ways of estimating a dynamic discrete choice model (Aguirregabiria and Mira, 2010), we adopt the nested fixed point algorithm of Rust (1987).”
Practical Methods for Estimation of Dynamic Discrete Choice Models (2011, methodology): “Rather, we use the value function to express the future utility term in (4) in a simpler fashion.”
Discretizing Unobserved Heterogeneity (2017, methodology): “This step replaces (2) in the two-step method.”