Mabapi le
Mošomo wa ka o dula mo kopanong ya tlhabollo ya ekonomi, temo, bong le tekanyo ka dinageng tše di hlabologago. Ke diriša dinyakišišo tše kgolo tša malapa le data ya geospatial go ithuta ka moo malapa, dipolasa le mebaraka di šomago ka gona, kudukudu maemong ao data e lego ye nnyane goba go lego boima go e kgoboketša. Ke hweditše PhD ya ka ka Graduate Institute ka Geneva gomme ke šomile ka data ya dinyakišišo ka IFPRI, IMF le Panka ya Lefase.
Ke hlomile Dollar Scholars, motheo wo o fago thuto ya ditšhelete ye e theilwego godimo ga bohlatse go batho ba bagolo bao ba ka bago ba se na phihlelelo go yona. Gape ke hlomile wepsaete ya yona le dipotšišopotšišo.
Pele ga ekonomi, ke feditše mengwaga ye šupa ke le mohlahlobi wa profešenale wa eSports, ke bitša Counter-Strike le Warcraft III tournaments go tloga Seoul go ya Monza magareng ga 2004 le 2011. Ke sa bapala Counter-Strike 2 le Overwatch 2, gomme ke hlasela bjalo ka bard ka EverQuest.
Dinyakišišo
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Pampiri ya mošomo
Spreading the love around: how does agricultural labor demand respond to temporary weather shocks?
Dinageng tše tshela, malapa a dipolasa a ithekgile kudu ka mošomo wa malapa nakong ya komelelo le dinako tša pula tše di sa tlwaelegago. Malapa ao a etilwego pele ke basadi a na le kgatelelo ye kgolo.
Abstract
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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Mošomo wo o tšwelago pele
Assessing land area from above: evidence from Armenia
A randomized trial within a household survey: tracing fields on satellite imagery took 42% less time than measuring with GPS and improved on self-reported estimates, though it was less accurate than GPS.
Abstract
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.
Thuto
Ruri ke yo mongwe wa, ge e se morutiši yo mokaonekaone yo a kilego a ba le yena Yunibesithing ya Amerika. O tšwa ka tsela ya gagwe go dira gore klase e šomiše mehlala ya nnete ya data go na le go ba le 'Sally o na le diapola tše 4 gomme Dave o na le mathata a setaele sa dinamune tše 15. Ke se sengwe le se sengwe seo morutiši wa yunibesithi a swanetšego go ba sona, gomme ka morago ga tše dingwe.
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2021 – 2024
Adjunct Professor · Yunibesithi ya Amerika
Economic development, applied econometrics, and introductory micro- and macroeconomics, taught with real data and real-world examples.
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2015 – 2018
Graduate Institute, Geneva
Economics for International Affairs (2015–2016) and review sessions for Macroeconomics A (2017–2018).
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Setšhaba
Economics Discord
A 501(c)(3) educational nonprofit and partnered Discord server where more than 3,000 economics students, researchers and economists from around 30 countries help each other learn.
Dollar Scholars
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Mothei
Dollar Scholars
Motheo wa thuto ya ditšhelete tša batho ba bagolo, o rutwa ka motho ka noši le go thewa godimo ga dinyakišišo, ka lebaka la gore kadimo e ka se thuše batho bao ba sa tsebego go e diriša.
Mananeo
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Tlhabollo ya webo
dollarscholars.org
I designed, coded and auto-translated the foundation's website: a custom Django site styled with Tailwind CSS and self-hosted with nginx on an Ubuntu server, rebuilt with security in mind after a cyberattack. It comes in 44 language versions, including four right-to-left languages (Arabic, Hebrew, Persian and Urdu), and volunteer translators can check and correct any version through a simple CSV workflow.
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Financial Knowledge Study
Dinyakišišo tša tsebo ya ditšhelete tša dipolelo tše ntši le dipotšišo ka maleme a 31, gammogo le tše hlano tša go bapala tša go swana le Pirate Speak le 1930s Mobster. Dipotšišo di fetotšwe go tšwa go Lusardi & Mitchell (2014) le FINRA Foundation's National Financial Capability Study; diphetolelo di ngwadilwe ka Microsoft Copilot le Deep Translator gomme tša lekolwa ke baithaopi moo di lego gona.
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Dinyakišišo tša dikhomphutha
Data and geospatial analysis
Python (pandas) le Stata bakeng sa dipalopalo tše kgolo tša go swana le dinyakišišo tša malapa, le GIS (ArcGIS) ya data ya sathalaete, go akaretšwa le mmapa wa mabone a bošego a VIIRS ka morago ga wepsaete ye.
Commentaire ya dipapadi
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2004 – 2011
eSports Commentator
E bitšwa Counter-Strike 1.6 le Warcraft III bakeng sa bagaši ba go swana le DirecTV, MTV le MTV Korea, gammogo le bakgathatema ba go swana le Alex “Vansilli” Nguyen, Glenn “Boomerman” Lane le Zach “Hoo_man” Godfrey.
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Press · MTV.com (archived)
Video game play-by-play comes with a deadly challenge