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An important feature of the Math and Science Partnership (MSP) Program of the National Science Foundation is to increase K-12 student achievement in math and science by increasing the quality, quantity, and diversity of the nation's K-12 math and science teachers. Because the underlying supply of math and science teachers is never directly observed, the central premise of this article is that an examination of the extent to which the MSP Program might impact the quantity and quality of math and science teachers requires careful thought and modeling.

With that starting point, this study first develops a model that supports a premise that shifts in underlying supply can be inferred from shifts in the percentage of certified math teachers employed when (a) salaries are constrained to be below market clearing salaries and (b) uncertified or “out-of-field” certified teachers can compete as substitutes for certified math teachers. The study then tests the plausibility of the model using data from Texas and in so doing provides preliminary estimates of the extent to which a school or school district's MSP participation affected the supply of certified math teaches available to that school or district. The results, although inconclusive on the question of the labor supply effects of MSP participation by a school or school district, do suggest the reasonableness of the model for future work when more appropriate data will be available.  相似文献   
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