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作者：Fox, Jeremy T.
作者单位：Rice University; National Bureau of Economic Research
摘要：I explore the estimation of transferable utility matching games, encompassing many-to-many matching, marriage, and matching with trading networks (trades). Computational issues are paramount. I introduce a matching maximum score estimator that does not suffer from a computational curse of dimensionality in the number of agents in a matching market. I apply the estimator to data on the car parts supplied by automotive suppliers to estimate the valuations from different portfolios of parts to su...
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作者：Kovarik, Jaromir; Mengel, Friederike; Gabriel Romero, Jose
作者单位：University of Basque Country; Czech Academy of Sciences; Economics Institute of the Czech Academy of Sciences; Charles University Prague; University of Essex; Universidad de Santiago de Chile
摘要：We report the findings of experiments designed to study how people learn in network games. Network games offer new opportunities to identify learning rules, since on networks (compared to, e.g., random matching) more rules differ in terms of their information requirements. Our experimental design enables us to observe both which actions participants choose and which information they consult before making their choices. We use these data to estimate learning types using finite mixture models. M...
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作者：Chan, Marc K.; Liu, Kai
作者单位：University of Melbourne; University of Cambridge
摘要：We investigate the importance of various mechanisms by which child care policies can affect life-cycle patterns of employment and fertility among women, as well as long-run cognitive outcomes among children. A dynamic structural model of employment, fertility, and child care use is estimated using Norwegian administrative data. The estimation exploits a large-scale child care reform, which provided generous cash transfers to mothers who did not use formal child care facilities. We find that th...
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作者：Komarova, Tatiana; Nekipelov, Denis; Yakovlev, Evgeny
作者单位：University of London; London School Economics & Political Science; University of Virginia; New Economic School
摘要：It is commonplace that the data needed for econometric inference are not contained in a single source. In this paper we analyze the problem of parametric inference from combined individual-level data when data combination is based on personal and demographic identifiers such as name, age, or address. Our main question is the identification of the econometric model based on the combined data when the data do not contain exact individual identifiers and no parametric assumptions are imposed on t...
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作者：Manski, Charles F.
作者单位：Northwestern University
摘要：This paper studies an identification problem that arises when clinicians seek to personalize patient care by predicting health outcomes conditional on observed patient covariates. Let y be an outcome of interest and let (x=k, w=j) be observed patient covariates. Suppose a clinician wants to choose a care option that maximizes a patient's expected utility conditional on the observed covariates. To accomplish this, the clinician needs to know the conditional probability distribution P(y|x=k, w=j...
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作者：Breunig, Christoph; Hoderlein, Stefan
作者单位：Humboldt University of Berlin; Boston College
摘要：In this paper, we suggest and analyze a new class of specification tests for random coefficient models. These tests allow to assess the validity of central structural features of the model, in particular linearity in coefficients, generalizations of this notion like a known nonlinear functional relationship, or degeneracy of the distribution of a random coefficient, that is, whether a coefficient is fixed or random, including whether an associated variable can be omitted altogether. Our tests ...
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作者：Inoue, Atsushi; Shintani, Mototsugu
作者单位：Vanderbilt University; University of Tokyo; University of Tokyo
摘要：In this paper, we establish the consistency of the model selection criterion based on the quasi-marginal likelihood (QML) obtained from Laplace-type estimators. We consider cases in which parameters are strongly identified, weakly identified and partially identified. Our Monte Carlo results confirm our consistency results. Our proposed procedure is applied to select among New Keynesian macroeconomic models using US data.
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作者：Kline, Brendan
作者单位：University of Texas System; University of Texas Austin
摘要：This paper studies the identification and estimation of the decision rules that individuals use to determine their actions in games, based on a structural econometric model of non-equilibrium behavior in games. The model is based primarily on various notions of limited strategic reasoning, allowing multiple modes of strategic reasoning and heterogeneity in strategic reasoning across individuals and within individuals. The paper proposes the model and provides sufficient conditions for point id...
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作者：Hsieh, Chih-Sheng; van Kippersluis, Hans
作者单位：Chinese University of Hong Kong; Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University Rotterdam; Tinbergen Institute
摘要：Social interactions are widely recognized to play an important role in smoking initiation among adolescents. In this paper, we hypothesize that emotionally stable, conscientious individuals are better able to resist peer pressure in the uptake of smoking. We exploit detailed friendship nominations in the US Add Health data, and extend the Spatial Autoregressive (SAR) model to deal with (i) endogenous peer selection, and (ii) unobserved contextual effects, in order to identify heterogeneity in ...
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作者：Schulhofer-Wohl, Sam
作者单位：Federal Reserve System - USA; Federal Reserve Bank - Chicago
摘要：A standard approach to estimating structural parameters in life-cycle models imposes sufficient assumptions on the data to identify the age profile of outcomes, then chooses model parameters so that the model's age profile matches this empirical age profile. I show that this approach is both incorrect and unnecessary: incorrect, because it generally produces inconsistent estimators of the structural parameters, and unnecessary, because consistent estimators can be obtained under weaker assumpt...
