State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women
已婚女性跨期劳动参与中的状态依赖、序列相关与异质性AI 解读 ↓
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已婚女性跨期劳动参与中的状态依赖、序列相关与异质性AI 解读 ↓
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The intertemporal labor force participation of married women is analyzed using a dynamic search framework. Maximum simulated likelihood (MSL) estimation is used to estimate dynamic Probit models, and the sensitivity to alternative assumptions examined using Linear Probability models. Participation decisions are characterized by significant positive state dependence, unobserved heterogeneity, and negatively correlated errors. The hypothesis that women's participation is exogenous to their fertility decisions is rejected when dynamics are ignored, but there is no evidence against this hypothesis in dynamic specifications. Women's participation response is stronger to permanent than current non-labor income, reflecting unobserved taste factors.
离散选择面板模型中平均效应的界
In discrete choice panel data, estimation of average effects is crucial for quantifying the effect of covariates, and for policy evaluation and counterfactual analysis. However, in short panels with individual-specific effects, challenges arise due to partial identification and the incidental parameter problem. In particular, estimating the sharp identified set of average effects becomes impractical when covariates have large support sets, such as when they are continuous.…
内生网络下的半参数动态 Logit 模型
Many choices persist over time and are made among friends. Teenagers who smoke tend to keep smoking, and they tend to have friends who smoke. Part of this persistence is habit, but part may come from characteristics researchers do not observe, such as a taste for risk, that shape both whether a student smokes and whom they befriend. Methods that treat friendships as given cannot separate the two when the characteristic changes over time. This paper shows how the friendship…
Abstract This paper provides a method to study quantile effects in discrete choice with social interactions. The method is based on a behavioral social interactions model from quantile preference in decision making and demonstrates peer effects on different quantiles of discrete outcomes. The peer effects parameters are estimated by a nested pseudoscore (NPS) approach, which is developed to tackle the computational burden pertaining to the social interactions model.…
通过正则化最优传输推断部分识别矩模型
Many statistical and econometric problems involve parameters defined by moments of a joint distribution when only marginal distributions are observed, leading naturally to partial identification. We develop a methodology for identification, estimation, and inference in the corresponding partially identified GMM model. We characterize the sharp identified set for the parameter of interest via a support-function/optimal-transport (OT) representation. To estimate the identified…
部分识别离散响应模型的随机集分位数估计
Semiparametric discrete choice models are widely applied in economics, yet a fundamental tension arises when covariates are discrete as regression coefficients that are point identified under continuous regressors may become only partially identified. We show that this is not merely an identification problem but creates serious estimation pathologies. Classical estimators, including the maximum score estimator of Manski (1975), not only have population maximizers that are…
带固定效应的动态面板 Logit 模型识别
We show that identification in a general class of dynamic panel logit models with fixed effects is related to the truncated moment problem from the mathematics literature. We use this connection to show that the identified set for structural parameters and functionals of the distribution of latent individual effects can be characterized by a finite set of conditional moment equalities subject to a certain set of shape constraints on the model parameters. In addition to…