No ni'a i te
Tei te tuatiraa ta'u ohipa i te tupuraa i te pae faarava'iraa faufaa, te faaapu, te tane e te vahine e te faito i roto i te mau fenua ravai ore. Te faaohipa nei au i te mau tuatapaparaa rarahi no te mau utuafare e te mau haamaramaramaraa no te fenua no te tuatapapa i te tereraa o te mau utuafare, te mau faaapu e te mau matete, i roto ihoa râ i te mau vahi e mea varavara e aore râ, e mea fifi roa ia haaputu i te mau haamaramaramaraa. Ua roaa ta'u PhD i te Graduate Institute i Genève e ua rave au i te ohipa i ni'a i te mau tuatapaparaa i te IFPRI, te FMI e te World Bank.
Ua haamau vau i te Dollar Scholars, te hoê pû o te horo'a i te haapiiraa i te pae moni i te mau taata paari tei ore i fana'o a'enei i te reira. Ua hamani atoa vau i ta'na tahua itenati e ta'na uiuiraa reo rau.
Na mua a'e i te ohipa faarava'iraa faufaa, e hitu matahiti to'u riroraa ei taata papa'i parau no ni'a i te eSports, ma te pii i te mau tata'uraa Counter-Strike e Warcraft III mai Seoul e tae atu i Monza mai te matahiti 2004 e tae atu i te matahiti 2011. Te ha'uti noa nei â vau i te Counter-Strike 2 e te Overwatch 2, e te ha'uti nei au ei bard i roto i te EverQuest.
Te mau maimiraa
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Api parau ohipa
Spreading the love around: how does agricultural labor demand respond to temporary weather shocks?
I roto e ono fenua, te turu'i rahi nei te mau utuafare faaapu i ni'a i te ohipa a te utuafare i roto i te mau tau pa'urâ e te mau tau ûa. E mea fifi a'e te mau utuafare e arata'ihia e te mau vahine.
Haapotoraa
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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Ohipa e ravehia ra
Assessing land area from above: evidence from Armenia
E 42% iti a'e te taime no te hi'opo'araa i te mau hoho'a pee'utari i te faito na roto i te GPS e ua maitai a'e i ni'a i te mau numera tei faaitehia e te taata iho, noa'tu e mea iti a'e te reira i te GPS.
Haapotoraa
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.
Haapiiraa
O oia mau te hoê o te mau orometua haapii maitai roa a'e ta'u i farii a'enei i te fare haapiiraa tuatoru no Marite. Te imi nei oia i te mau rave'a atoa no te faaohipa i te mau hi'oraa o te mau haamaramaramaraa i roto i te ao mau, eiaha râ i te parau noa 'E 4 apara ta Sally e 15 anani ta Dave'... O oia te mau mea atoa e ti'a i te hoê orometua haapii no te fare haapiiraa tuatoru ia riro e te tahi atu â.
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2021 – 2024
Orometua tauturu · Fare haapiiraa tuatoru no Marite
Te haereraa i mua i te pae faarava'iraa faufaa, te faaohiparaa i te econometrics, e te omuaraa o te tereraa faufaa na'ina'i e te macroeconomics, tei haapiihia na roto i te mau haamaramaramaraa mau e te mau hi'oraa o te ao mau.
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2015 – 2018
Fare haapiiraa tuatoru, Genève
Economics for International Affairs (2015–2016) e te mau tuhaa hi'opo'araa no te Macroeconomics A (2017–2018).
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Huiraatira
Economics Discord
Te hoê faanahoraa Discord 501(c)(3) i reira hau atu i te 3 000 piahi no te tereraa faufaa, te feia maimi e te feia tuatapapa i te pae faanavairaa faufaa no na fenua e 30 e tauturu ai te tahi i te tahi ia haapii.
Dollar Scholars
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Taata haamau
Dollar Scholars
Te hoê niu no te haapiiraa i te pae moni a te feia paari, tei haapiihia i te taata iho e tei niuhia i ni'a i te ma'imiraa, no te mea eita te tarahu e nehenehe e tauturu i te mau taata aita i ite nahea ia faaohipa i te reira.
Faanahoraa
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Te hamaniraa i te Itenati
dollarscholars.org
Ua faanaho, ua papa'i e ua iriti au i te tahua itenati a te pŭpŭ : te hoê tahua Django tei hamanihia e te Tailwind CSS e te faanahohia e nginx i ni'a i te hoê server Ubuntu, tei hamani-faahou-hia ma te paruru i muri a'e i te hoê aroraa roro uira. E 44 reo te reira, e maha reo mai te pae atau i te aui (arabia, hebera, peresia e urdu), e e nehenehe ta te feia iriti parau e hi'opo'a e e faatitiaifaro i te mau huru faanahoraa atoa na roto i te hoê tereraa ohipa ohie no te CSV.
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Financial Knowledge Study
Te hoê tuatapaparaa e te uiuiraa no ni'a i te faufaa moni na roto e 31 reo, e e pae reo hauti mai te Pirate Speak e te 1930s Mobster. Ua iritihia te mau uiraa mai roto mai i te Lusardi & Mitchell (2014) e te National Financial Capability Study a te FINRA Foundation ; ua papa'ihia te mau iritiraa e te Microsoft Copilot e te Deep Translator e ua hi'opo'ahia e te mau rima tauturu mai te mea te vai ra.
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Te mau matini roro uira
Data and geospatial analysis
Python (pandas) e Stata no te mau haaputuraa parau rarahi mai te mau tuatapaparaa utuafare, e te GIS (ArcGIS) no te mau haamaramaramaraa pee'utari, e tae noa'tu i te hoho'a fenua o te mau mori VIIRS i te pô i muri mai i teie tahua itenati.
Te mau mana'o no ni'a i te eSports
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2004 – 2011
Taata tuatapapa i te mau ohipa tuaro
Ua piihia Counter-Strike 1.6 e Warcraft III no te mau haapurororaa mai te DirecTV, MTV e MTV Korea, i piha'i iho i te mau pŭpŭ haapurororaa mai te Alex “Vansilli” Nguyen, te Glenn “Boomerman” Lane e te Zach “Hoo_man” Godfrey.
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Nene'iraa · MTV.com (haaputuhia)
Video game play-by-play comes with a deadly challenge