Xiaoyang Ma
在伦敦政治经济学院（LSE）读应用社会数据科学。关心劳动力市场，喜欢用数据和计量方法回答真实世界里的经济问题。
Studying Applied Social Data Science at the LSE. I care about labour markets, and I like answering real-world economic questions with data and econometrics.
LSE 毕业项目（capstone），进行中。南非是全世界失业率最高的国家之一，我想弄清楚：一段失业经历，会让一个人之后的工资被压低多少、持续多久。
My LSE capstone project, in progress. South Africa has one of the highest unemployment rates in the world. I want to find out how much a spell of unemployment lowers a person’s later wages, and for how long.
应用社会数据科学硕士（MSc ASDS）
MSc Applied Social Data Science
本科
Undergraduate
用 OECD 季度数据比较 AR 与 ARDL 模型，以 AIC 和 Breusch-Godfrey 检验选模型，再对 2016–2019 年做样本外预测，用 MSE 和 MAE 评估准确度。
Compared AR and ARDL models on quarterly OECD data, selected models with AIC and Breusch-Godfrey tests, then produced out-of-sample forecasts for 2016–2019 and scored them with MSE and MAE.
基于 2008–2016 年英国公司面板数据，用 ROA 和托宾 Q 衡量业绩，做异方差检验与稳健标准误，并检验非线性关系和公司规模的调节作用。
Using a 2008–2016 panel of UK companies, measured performance with ROA and Tobin’s Q, ran heteroscedasticity tests with robust standard errors, and tested for non-linear effects and moderation by firm size.