Mabapi le
Mosebetsi oa ka o lutse mateanong a nts'etsopele ea moruo, temo, bong le litekanyo linaheng tse tsoelang pele. Ke sebelisa lipatlisiso tse kholo tsa malapa le data ea geospatial ho ithuta hore na malapa, mapolasi le limmaraka li sebetsa joang, haholo-holo maemong ao data e fokolang kapa ho leng thata ho e bokella. Ke fumane PhD ea ka ho Graduate Institute e Geneva mme ke sebelitse ka data ea lipatlisiso ho IFPRI, IMF le Banka ea Lefatše.
Ke thehile Dollar Scholars, motheo o fanang ka thuto ea lichelete e thehiloeng bopaking ho batho ba baholo bao e ka 'nang eaba ha ho mohla ba kileng ba e fumana. Ke boetse ke thehile sebaka sa eona sa marang-rang le lipotso tsa lipuo tse ngata.
Pele ho moruo, ke qetile lilemo tse supileng ke le mohlahlobi oa eSports, ke bitsa litlholisano tsa Counter-Strike le Warcraft III ho tloha Seoul ho ea Monza lipakeng tsa 2004 le 2011. Ke ntse ke bapala Counter-Strike 2 le Overwatch 2, 'me ke hlasela joalo ka bard ho EverQuest.
Patlisiso
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Pampiri ea mosebetsi
Spreading the love around: how does agricultural labor demand respond to temporary weather shocks?
Ho pholletsa le linaha tse tšeletseng, malapa a mapolasi a itšetleha haholo ka mosebetsi oa malapa nakong ea komello le linako tse sa tloaelehang tsa pula. Malapa a etelletsoeng pele ke basali a thibetsoe haholo.
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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Mosebetsi o tsoelang pele
Assessing land area from above: evidence from Armenia
Teko e sa reroang ka har'a phuputso ea malapa: ho latela masimo litšoantšong tsa satellite ho nkile nako e ka tlase ho 42% ho feta ho lekanya ka GPS mme e ntlafalitsoe ka likhakanyo tse tlalehiloeng, leha e ne e sa nepahala ho feta 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.
Ho ruta
Ka sebele ke e mong oa moprofesa ea hloahloa ka ho fetisisa eo nkileng ka ba le eona Univesithing ea Amerika. O tsoa tseleng ea hae ho etsa hore sehlopha se sebelise mehlala ea 'nete ea data ho fapana le ho ba le 'Sally o na le liapole tse 4 mme Dave o na le mathata a setaele sa lilamunu tse 15... Ke ntho e ngoe le e ngoe eo moprofesa oa koleche a lokelang ho ba eona, ebe tse ling.
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2021 – 2024
Moprofesa oa Adjunct · Univesithi ea Amerika
Nts'etsopele ea moruo, econometrics e sebelisitsoeng, le kenyelletso ea micro- le macroeconomics, e rutoa ka data ea 'nete le mehlala ea sebele ea lefats'e.
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2015 – 2018
Setsi sa Graduate, Geneva
Moruo bakeng sa Litaba tsa Machabeng (2015-2016) le likopano tsa tlhahlobo bakeng sa Macroeconomics A (2017-2018).
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Sechaba
Economics Discord
501 (c) (3) e sa etseng phaello le seva sa Discord moo baithuti ba fetang 3,000 ba moruo, bafuputsi le litsebi tsa moruo ba tsoang linaheng tse ka bang 30 ba thusana ho ithuta.
Dollar Scholars
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Mothehi
Dollar Scholars
Motheo oa thuto ea batho ba baholo ea lichelete, e rutoang ka seqo ebile e thehiloe lipatlisisong, hobane mokitlane o ke ke oa thusa batho ba sa tsebeng ho o sebelisa.
Mananeo
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Nts'etsopele ea webo
dollarscholars.org
Ke qapile, ke hlophisitse le ho fetolela sebaka sa marang-rang sa motheo: sebaka sa marang-rang sa tloaelo sa Django se entsoeng ka Tailwind CSS mme se itšoara ka nginx ho seva sa Ubuntu, se hahiloeng bocha ka ts'ireletso ka kelellong kamora tlhaselo ea cyber. E fumaneha ka lipuo tse 44, ho kenyeletsoa lipuo tse 'ne ho tloha ka ho le letona ho ea ho le letšehali (Searabia, Seheberu, Sepersia le Urdu), mme bafetoleli ba baithaopi ba ka lekola le ho lokisa mofuta ofe kapa ofe ka ts'ebetso e bonolo ea CSV.
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Financial Knowledge Study
Phuputso ea tsebo ea lichelete ea lipuo tse ngata le lipotso ka lipuo tse 31, hammoho le tse hlano tse bapalang joalo ka Pirate Speak le 1930s Mobster. Lipotso li nkiloe ho tsoa ho Lusardi & Mitchell (2014) le FINRA Foundation's National Financial Capability Study; liphetolelo li entsoe ka Microsoft Copilot le Deep Translator mme li hlahlojoa ke baithaopi moo li fumanehang.
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Likhomphutha tsa lipatlisiso
Tlhahlobo ea data le geospatial
Python (pandas) le Stata bakeng sa li-dataset tse kholo tse kang lipatlisiso tsa malapa, le GIS (ArcGIS) bakeng sa data ea satellite, ho kenyeletsoa 'mapa oa mabone a bosiu a VIIRS ka mor'a sebaka sena sa marang-rang.
Tlhaloso ea eSports
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2004 – 2011
Mohlahlobi oa eSports
E bitsoa Counter-Strike 1.6 le Warcraft III bakeng sa baphatlalatsi ba kenyeletsang DirecTV, MTV le MTV Korea, hammoho le li-casters tse kang Alex “Vansilli” Nguyen, Glenn “Boomerman” Lane le Zach “Hoo_man” Godfrey.
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Tobetsa · MTV.com (e bolokiloeng)
Video game play-by-play comes with a deadly challenge