“Fuzzy Differences-in-Differences.” The Review of Economic Studies 85, no. 2 (2018): 999-1028. [3]de Chaisemartin, Clément, Xavier D’haultfœuille, and Yannick Guyonvarch. “Fuzzy differences-in-differences with stata.” The Stata Journal 19, no. 2 (2019): 435-458. [4] ...
Differences-in-differences evaluates the effect of a treatment. In its basic version, a control group is untreated at two dates, whereas a treatment group becomes fully treated at the second date. However, in many applications of this method, the treatment rate increases more only in the ...
编者按: 本文部分内容翻译自 Fuzzy Differences-in-Differences with Stata,特此致谢! 1. 简介双重差分 () 是政策评估的常用方法,其通常的做法 () 是把样本区分为处理组 () 和控制组 () 两组 () ,并且保证仅有处理组在某个时间点 () 之后受到政策干预 () 。通过构造交互项 识别政策的平均处理效应 (,) ...
To this end, we map the recommended steps for the above three analyses in two flowcharts that can be found as Appendices in this article. Further, we compare fsQCA with PLS-SE and discuss conceptual differences among the two methods, and finally we summarize some of the frequently used ...
Correspondence toKrista B. Lewellyn. Rights and permissions Reprints and permissions About this article Lewellyn, K.B., Muller-Kahle, M.I. A configurational approach to understanding gender differences in entrepreneurial activity: a fuzzy set analysis of 40 countries.12...
(2018), Fuzzy differences-in- differences with stata, Technical report.de Chaisemartin, C. and D'Haultfoeuille, X. (2018), `Fuzzy differences-in-differences', The Review of Economic Studies 85(2), 999-1028. URL: http://dx.doi.org/10.1093/restud/rdx049...
The Euclidean metric can be used as the distance between two objects and can be calculated as the square root of the sum of the squares of the feature differences. After the situations or cases are properly represented and stored, the new situation (case) will enter into the system memory ...
However, the NP class shows much greater differences in the box plots between normal and uniform distributions than other classes. This is because the NP class contains four sets of missing information with two fuzzy sets (natural preservation and historical and scenic preservation) at the NG and...
In fuzzy DEA, triangular fuzzy number (TrFN) and trapezoidal fuzzy number (TpFN) are used to construct the fuzzy sets of efficiency scores with DEA. The comparison between DEA and triangular fuzzy data envelopment analysis (TrFDEA) shows the range of differences in the results ranges from −...
Considering that change of DO content is in a certain scope in a pond, differences of DO ranging from 4 mg/L to 9 mg/L are normal, otherwise they are abnormal, so when the reading of the target DO sensor is 4 mg/L lower than the average of others, the membership degree is 0.1. ...