Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher
By John Rust. 1987
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Susan Athey
- Stefan Wager
- Victor Chernozhukov
- Guido W. Imbens
- Michael P. Keane
- Nathan Kallus
- James J. Heckman
- Xinkun Nie
Citations in the corpus
- Learning When-to-Treat Policies (2019, background): “Rust (1987) considered the descriptive problem of fitting an optimal stopping model to the behavior of a rational agent; this is different from the problem of learning a decision rule that can be used to guide future decisions in this article.”
- How much green for the buck? Estimating additional and windfall effects of French agro-environmental schemes by DID-matching (2010, background): “This is an application of the general result of Abbring and Heckman [3] that a structural dynamic model with the assumptions in Rust [30] implies conditional exogeneity that justifies matching in a dynamic framework.”
- A Dynamic Model of Brand Choice When Price and Advertising Signal Product Quality (2008, methodology): “We can then obtain closed form expressions for the Emax functions (see Rust (1987)), conditional on the state Iit.”
- Dynamics of Consumer Demand for New Durable Goods (2012, unknown): “In this way, it is similar to the Rust ð1987Þ model of bus engines, in which the agent must decide when to replace the engine.”
- Dynamic Discrete Choice Structural Models: A Survey (2010, methodology): “Moreover, econometric models in this class are useful tools for the evaluation of new (counterfactual) policies.2 Seminal papers include Wolpin (1984) on fertility and child mortality, Miller (1984) on occupational choice, Pakes (1986) on patent renewal, and Rust (1987) on machine replacement.”
- An Empirical Model of Optimal Dynamic Product Launch and Exit Under Demand Uncertainty (2006, methodology): “Therefore, our estimator is an example of a nested fixed-point estimator, first introduced by Rust (1987). All demand parameters, including the parameters related to the advertising technology, are identified from a sample of mature products only.”
- Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter? (2013, methodology): “Following standard practice (Allenby and Rossi 1998), we use a non-informative second-stage prior, in order to let these parameters be driven by the data.”
- A Dynamic Model of Housing Demand: Estimation and Policy Implications (2010, unknown): “Nondurable consumption responds as well.(29) (27)Mankiw’s model of a representative consumer did not explicitly include downpayment constraints nor did it calibrate the household income process to micro data.”
- Accuracy of simulations for stochastic dynamic models (2005, background): “Among the many examples of simulation-based estimation, let us mention Wolpin (1984), Pakes (1986), Rust (1987), Bajari, Benkard and Levin (2004), Tan (2004), and Crawford and Shum (2005).”
- 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) The next step of the backsolving process is to move back to period T-1.”
- Do Switching Costs Make Markets Less Competitive? (2009, background): “Demand is then similar to Rust (1987); the technical details can be found in the Appendix.”
- A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category (2003, methodology): “The model with repeat purchase will be an application of the bus engine replacement model by Rust (1987) .”