论文检索

离散选择模型的广义间接推断AI 解读

This paper develops and implements a practical simulation-based method for estimating dynamic discrete choice models. The method, which can accommodate lagged dependent variables, serially correlated errors, unobserved variables, and many alternatives, builds on the ideas of indirect inference. The main difficulty in implementing indirect inference in discrete choice models is that the objective surface is a step function, rendering gradient-based optimization methods…

儿童照护选择与认知能力生产模型的准结构估计AI 解读

This article evaluates the effects of maternal vs. alternative care providers' time inputs on children's cognitive development using the sample of single mothers in the National Longitudinal Survey of Youth. To deal with the selection problem created by unobserved heterogeneity of mothers and children, we develop a model of mother's employment and childcare decisions. We then obtain approximate decision rules for employment and childcare use, and estimate these jointly with…

计量经济学中的结构方法与非理论方法AI 解读

In this paper I attempt to lay out the sources of conflict between the so-called "structural" and "experimentalist" camps in econometrics. Critics of the structural approach often assert that it produces results that rely on too many assumptions to be credible, and that the experimentalist approach provides an alternative that relies on fewer assumptions. Here, I argue that this is a false dichotomy. All econometric work relies heavily on a priori assumptions. The main…

摘要暂缺

消费者选择行为中的异质性与状态依赖建模AI 解读

In frequently-purchased-consumer-goods markets, consumer brand choices exhibit substantial persistence across purchase occasions. In this article, the author estimates a choice model that admits of both heterogeneity in preferences and true state dependence as sources of this persistence, using Nielsen scanner data on ketchup. He finds evidence for true state dependence in the choice process, even after controlling for a rich heterogeneity structure. Simulation of the model…

一种计算上可行的面板数据模拟估计量AI 解读

The author develops a practical extension of D. McFadden's method of simulated moments estimator for limited dependent variable models to the panel data case. The method is based on factorization of the method of simulated moments first order condition into transition probabilities, along with development of an accurate new method for simulating transition probabilities. Monte Carlo tests indicate that this method of simulated moments estimator performs quite well relative…

关于多项 Probit 模型识别的一则札记AI 解读

Although formal conditions for identification in the multinational probit model are now clearly established, little is known about how various estimable multinational probit specifications perform in practice. This article shows that parameter identification in the multinational probit model is extremely tenuous in the absence of exclusion restrictions. This previously unnoticed fact is important because formal identification of multinational probit models does not require…

工具变量非严格外生时序列相关面板模型的估计AI 解读

In recent years, researchers in many disciplines, including economics, accounting, finance, and marketing, have increasingly relied on panel data to model the behavior of individuals and firms. They have done so because panel data allow them to control for temporally persistent unobserved differences among individuals or firms that in many instances may bias estimates obtained from cross-sections.

对《工具变量非严格外生时含序列相关的面板数据模型估计》的回复AI 解读

Michael P. Keane, David E. Runkle, [On the Estimation of Panel-Data Models with Serial Correlation When Instruments Are Not Strictly Exogenous]: Reply, Journal of Business & Economic Statistics, Vol. 10, No. 1 (Jan., 1992), pp. 26-29