模型规格检验和处理效果的估计:随机和非随机管理记录的应用

Q3 Social Sciences Journal of Economic and Social Measurement Pub Date : 2016-01-01 DOI:10.3233/JEM-160423
Tao Chen, K. Couch
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引用次数: 0

摘要

除了现有的基于预编程期超识别信息的模型规格检验外,本文还基于无条件边界的概念进行了一种新的非参数检验。这个测试的优点是它不需要参与者事先的信息。非参数边界检验与基于过度识别信息的标准检验产生相似的模型不规范信息。作为说明,我们将该测试应用于康涅狄格州“工作第一”实验中的行政记录。其他福利接受者的记录被用来提供准实验面板回归估计时间限制福利对劳动力市场收入的影响。
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Model specification tests and the estimation of treatment effects: An application with random and non-random administrative records
In addition to existing model specification tests based on over identifying information from pre-program periods, this paper conducts a new nonparametric test based on the concept of unconditional bounding. This test has the advantage that it does not require pre-program information on participants. The nonparametric bounding test yields similar information about model misspecification to the standard test based on over identifying information. As an illustration, we apply the test to administrative records from the Jobs First experiment in Connecticut. Records on other welfare recipients are used to provide quasi-experimental panel regression estimates of the impact of time limiting benefits on labor market earnings.
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来源期刊
Journal of Economic and Social Measurement
Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)
CiteScore
1.60
自引率
0.00%
发文量
4
期刊介绍: The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.
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