Identifying Dynamic Discrete Decision Processes

By T. Magnac, David Thesmar. 2002

489 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/efc43f91f19e7a31ce5531e5d3f2ae035c693302

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Citations in the corpus

Risk, uncertainty and discrete choice models (2008, methodology): “Then, parameters relative to risk aversion are identified, as shown by Magnac and Thesmar (2002).”
Dynamics of Consumer Demand for New Durable Goods (2012, unknown): “We do not attempt to estimate b because it is notoriously difficult to identify the discount factor for dynamic decision models ðsee Magnac and Thesmar 2002Þ.”
Empirical Entry Games with Complementarities: An Application to the Shopping Center Industry (2012, unknown): “4Related identification results have been obtained in the single agent dynamics literature (see Rust 1994 and Magnac and Thesmar 2002) and in the multiple agent dynamic literature (see Schmidt-Dengler and Pesendorfer 2008).”
Estimating a Dynamic Adverse-Selection Model: Labour-Force Experience and the Changing Gender Earnings Gap 1968–1997 (2008, methodology): “This paper contributes in three ways: First, we formulate a dynamic adverse-selection model of labor supply and human-capital accumulation, in which gender discrimination and the earnings gap arise endogenously.”
Durable goods and long-run electricity demand: : Evidence from air conditioner purchase behavior (2014, background): “Given the challenges of estimating intertemporal preferences (e.g. Magnac and Thesmar, 2002), there remains much scope for future research on the topic.”
Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation (2007, background): “Marshallian or structural causal functions are an essential ingredient in constructing such forecasts because they explicitly model the relationship between U and X. The treatment effect approach does not explicitly model this relationship so that treatment parameters cannot be extrapolated in this ”
Dynamic Discrete Choice Structural Models: A Survey (2010, unknown): “49 In the context of discrete choice DP problems the papers by Miller (1984) and Wolpin (1984) are the earliest example we are aware of.”
Bayesian Estimation of Dynamic Discrete Choice Models (2009, unknown): “25Notice that in DDC models, the discount factor is nonparametrically unidentified (see Rust (1994) and Magnac and Thesmar (2002)).”
Asymptotic Least Squares Estimators for Dynamic Games (2008, methodology): “The non-identification result is similar in spirit to results obtained in the single agent dynamics literature, see Rust (1994) and Magnac and Thesmar (2002).6 Proposition 2 also illustrates that the degree of under-identification increases with the number of agents.”
Advances in Economics and Econometrics: Identification in Models of Oligopoly Entry (2006, unknown): “For more on this see Magnac and Thesmar (2002) , Hotz”
Estimating Dynamic Models of Imperfect Competition (2004, unknown): “This is the problem of identification, studied in the context of single-agent dynamic decision problems by Rust (1994) and Magnac and Thesmar (2002), and in the context of dynamic games by Pesendorfer and Schmidt-Dengler (2003) and Bajari, Chernozhukov, and Hong (2005).”
Nonparametric Identification of Finite Mixture Models of Dynamic Discrete Choices (2009, methodology): “4 Structural dynamic discrete choice models are not identified generically. Magnac and Thesmar (2002) show”