Measurement Error in Education and Growth Regressions*
分析了永续盘存法构建的教育数据中的系统性测量误差对增长回归的影响，提出修正方法，并发现修正后系数反而降低，解释了原因。
The use of the perpetual inventory method for the construction of education data per country leads to systematic measurement error. This paper analyzes its effect on growth regressions. We suggest a methodology for correcting this error. The standard attenuation bias suggests that using these corrected data would lead to a higher coefficient. Our regressions reveal the opposite. We discuss why this is the case.