概况
余之研究,立于发展中国家经济发展、农业、性别与测量之交汇处。 余以大规模家户调查及地理空间数据,研家庭、农场及市场之运作,尤以数据稀少或难以采集之境况为重。 余于日内瓦 研究生院 获博士学位,曾于 IFPRI、国际货币基金组织及世界银行从事调查数据研究。
余创立 Dollar Scholars基金会,专为未曾接触之成人提供循证理财教育。 又建其 网站及多语问答。
经济学之前,余曾为职业 电竞解说七载,二〇〇四年至二〇一一年间,播报首尔至蒙扎之《反恐精英》与《魔兽争霸III》赛事。 今犹玩《反恐精英2》与《守望先锋2》,亦于《无尽的任务》中扮吟游诗人突袭。
研究
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工作论文
Spreading the love around: how does agricultural labor demand respond to temporary weather shocks?
Across six countries, farm households lean heavily on family labor during droughts and unusually wet periods. Women-headed households are significantly more constrained.
摘要
This is the first study to separately identify labor demand responses to both unanticipated droughts and periods of above normal rainfall for three forms of agricultural labor that are central to agricultural production: family, hired, and mutual exchange labor. I use a simple parcel‑level model with three labor types and monitoring costs to study how family labor is reallocated across parcels during drought. In six countries I find small but statistically significant decreases in the share of hired labor during droughts and during periods of above-normal rainfall, indicating a strong reliance on family labor during shocks. I find that farm households appear to lean heavily on exchange labor by using exchange labor more frequently during periods of above-normal rainfall. Due to the heavy reliance on family labor, household size and the gender of the household head are important moderating factors. Women-headed households appear to be significantly more constrained in how they apply labor on family farms. My findings underscore that these labor types are distinct in how they respond to temporary weather shocks. The results of my analysis have important implications for policies targeted at stimulating agricultural labor markets.
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工作進行中
Assessing land area from above: evidence from Armenia
一隨機試驗於家庭調查中:以衛星影像追蹤場域,較GPS測量耗時四十二分之一,且自報估算有進步,然準確度不及GPS。
摘要
Using primary data collected by the World Bank in Armenia as part of a randomized controlled trial, we evaluate the use of a satellite image tracing to measure agricultural land in the context of a household survey. Satellite tracing offers several benefits, including a large reduction in the cost of measuring land, the potential to measure more parcels of land, and improved security for survey enumerators. We find the satellite tracing approach yields consistent results, and requires 42% less time than measuring with GPS, and provides value-added over self-reported estimates. Due to the potential cost savings, and other non-trivial benefits, we suggest that land measurement via satellite image tracing offers significant value, though is not as accurate as land area estimates conducted with a handheld GPS.
教學
彼诚为余于美利坚大学所遇教授中,或为最佳者。 彼特意令课堂用真实数据实例,非仅"莎莉有四苹果,戴夫有十五橙"之题。 彼具大学教授应有之具备,且有余焉。
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2021 – 2024
兼职教授· 美利坚大学
经济发展、应用计量经济学及微观宏观经济学入门课程,皆以真实数据及实例授课。
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2015 – 2018
日內瓦研究生院
國際事務經濟學(2015–2016)及宏觀經濟學A(2017–2018)複習會議。
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社群
Economics Discord
此为501(c)(3)教育非营利组织,合作Discord服务器,逾三千经济学学生、研究者及经济学家,来自约三十国,互相助学。
Dollar Scholars
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创始人
Dollar Scholars
成人理财教育之基,面授授课,根基于研究,因信用无助于不谙其用者。
节目
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網頁開發
dollarscholars.org
余设计、编码并自动翻译基金会网站:一定制Django网站,采用Tailwind CSS风格,自托管于Ubuntu服务器,网络攻击后重构以安全为重。 其有四十四种语言版本,含四种自右至左语言(阿拉伯语、希伯来语、波斯语及乌尔都语),志愿译者可凭简易CSV流程核对更正任一版本。
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Financial Knowledge Study
多語言金融知識調查與問答,涵蓋三十一語言,另有五種趣味節目,如《海盜語》與《1930年代黑幫》。 題目改編自 Lusardi & Mitchell (2014) 及FINRA基金會國家金融能力研究; 譯文以Microsoft Copilot及Deep Translator草擬,並由志願者審核。
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研究计算
数据与地理空间分析
Python(pandas)与Stata用于大型数据集,如家庭调查;GIS(ArcGIS)用于卫星数据,含本网站背后VIIRS夜灯复合图之绘制。
電競解說
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2004 – 2011
電競解說
名为《反恐精英1.6》及《魔兽争霸III》,播映于DirecTV、MTV及MTV韩国等播映台,播音员有 Alex “Vansilli” Nguyen、 Glenn “Boomerman” Lane 、 Zach “Hoo_man” Godfrey等。
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报纸 · MTV.com(存档)
Video game play-by-play comes with a deadly challenge