Set identification and sensitivity analysis with Tobin regressors
نویسندگان
چکیده
منابع مشابه
Set-membership Affine Projection Algorithm with Selective Regressors
Abstract. In this letter, the concept of set-membership filtering (SMF) is extended to the affine projection algorithm with selective regressors (SR-APA), a novel set-membership SR-APA (SM-SR-APA) is established. The proposed algorithm exhibits superior performance with significant reduction in overall computational complexity due to data-selective step size. The usefulness of the proposed algo...
متن کاملBinary Choice Models with Discrete Regressors: Identification and Misspecification
In semiparametric binary response models, support conditions on the regressors are required to guarantee point identification of the parameter of interest. For example, one regressor is usually assumed to have continuous support conditional on the other regressors. In some instances, such conditions have precluded the use of these models; in others, practitioners have failed to consider whether...
متن کاملActive set training of support vector regressors
In our previous work we have discussed the training method of a support vector classifier by active set training allowing the solution to be infeasible during training. In this paper, we extend this method to training a support vector regressor (SVR). We use the dual form of the SVR where variables take real values and in the objective function the weighted linear sum of absolute values of the ...
متن کاملSome Identification Issues in Nonparametric Linear Models with Endogenous Regressors
In applied work economists often seek to relate a given response variable to some causal parameter associated with it. This parameter usually represents a summarization based on some explanatory variables of the distribution of , such as a regression function, and treating it as a conditional expectation is central to its identification and estimation. However, the interpretation of as a condit...
متن کاملISOGEOMETRIC TOPOLOGY OPTIMIZATION OF STRUCTURES USING LEVEL SET METHOD INCORPORATING SENSITIVITY ANALYSIS
This study focuses on the topology optimization of structures using a hybrid of level set method (LSM) incorporating sensitivity analysis and isogeometric analysis (IGA). First, the topology optimization problem is formulated using the LSM based on the shape gradient. The shape gradient easily handles boundary propagation with topological changes. In the LSM, the topological gradient method as ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Quantitative Economics
سال: 2010
ISSN: 1759-7323
DOI: 10.3982/qe1