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摘要
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A stock/flow panel is a way of sampling a population of agents moving through a collection of discrete states. The scheme is to form separate samples of the residents of each state - the stocks - and of those moving between states - the flows. We calculate optimal stock/flow sampling schemes and provide efficient estimators of the transition intensities in the particular case of an alternating Poisson process. We also compute the efficiency gains compared to randomly sampled panels.
Keyword:
ENDOGENOUS SAMPLING
CHOICE-BASED SAMPLING
PANEL
CROSS-SECTION
期刊
IF:
4
论文数:
5.3K
被引数:
3.0W
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引用论文
AN EFFICIENT METHOD OF MOMENTS ESTIMATOR FOR DISCRETE CHOICE MODELS WITH CHOICE-BASED SAMPLING基于选择采样的离散选择模型的矩估计的有效方法
ECONOMETRICA
IF7.1
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