E uiga i

O la'u galuega o lo'o nofo i le fetaula'iga o le atina'eina o le tamaoaiga, fa'ato'aga, itupa, ma le fuaina i atunu'u atia'e. Ou te fa'aaogaina su'esu'ega tetele a aiga ma fa'amaumauga geospatial e su'esu'e ai pe fa'afefea ona galue aiga, fa'ato'aga, ma maketi, aemaise lava i nofoaga e utiuti pe faigata ona aoina. Na ou mauaina lo'u PhD i le Graduate Institute i Geneva ma sa ou galue ma su'esu'ega fa'amaumauga i le IFPRI, le IMF, ma le Faletupe o le Lalolagi.

Na ou faavaeina Dollar Scholars, o se fa'avae e tu'uina atu ai fa'amaoniga-fa'avae a'oa'oga tau tupe i tagata matutua atonu e le'i mauaina lava. Na ou fausiaina foi lana 'upega tafa'ilagi ma le tele o gagana su'esu'ega.

Ae ou te le'i a'oa'oina le tamaoaiga, na ou fa'aaluina le fitu tausaga o se tagata fa'apolofesa eSports, vala'au Counter-Strike ma Warcraft III ta'amilosaga mai Seoul i Monza i le va o le 2004 ma le 2011. O lo'o ou ta'alo pea i le Counter-Strike 2 ma le Overwatch 2, ma osofa'ia o se bard i EverQuest.

Suesuega

  1. Pepa galue

    Spreading the love around: how does agricultural labor demand respond to temporary weather shocks?

    I atunuu e ono, o aiga faifaatoaga e faalagolago tele i galuega a le aiga i le taimi o lāmala ma vaitaimi e le masani ai le susu. O aiga e ulu i tamaitai e sili atu ona faatapulaaina.

    Aotelega

    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.

    • Fa'ato'aga
    • Leipa
    • Fa'ate'ia o le tau
    • Itupa
  2. Galuega o loo faagasolo

    Assessing land area from above: evidence from Armenia

    O se su'esu'ega fa'afuase'i i totonu o se su'esu'ega a le aiga: o le su'esu'eina o fanua i luga o ata satelite na ave le 42% la'ititi ifo le taimi nai lo le fuaina ma le GPS ma fa'aleleia atili i luga o fa'amatalaga na lipotia mai e le tagata lava ia, e ui lava e itiiti ifo le sa'o nai lo le GPS.

    Aotelega

    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.

    • Metotia o su'esu'ega
    • Ata satelite
    • RCT

Va'ai atoa CV

A'oa'oga

O ia moni lava o se tasi o, pe a le o le polofesa sili ona lelei na ou maua i le Iunivesite o Amerika. Na ia alu ese mai lona ala e fa'aaoga ai e le vasega ni fa'ata'ita'iga moni o fa'amaumauga nai lo le na'o le 'Sally e 4 apu ma Dave e 15 moli' fa'afitauli ... O ia o mea uma e tatau ona i ai se polofesa kolisi ma isi.
Iloiloga a tamaiti aoga, Applied Econometrics, Iunivesite o Amerika
  1. 2021 – 2024

    Polofesa Lagolago · Iunivesite o Amerika

    Atina'e o le tamaoaiga, fa'aaogaina econometrics, ma fa'alauiloaina micro- ma macroeconomics, a'oa'oina ma fa'amatalaga moni ma fa'ata'ita'iga moni.

    • Atina'e o le Tamaoaiga
    • Fa'aaogaina Econometrics I
    • Intro Microeconomics
    • Intro Macroeconomics
  2. 2015 – 2018

    Inisetiute faauu, Geneva

    Tamaoaiga mo Mataupu Fa'avaomalo (2015-2016) ma iloiloga sauniga mo Macroeconomics A (2017-2018).

  3. Nuu

    Economics Discord

    O le 501 (c) (3) a'oa'oga e le o ni polofiti ma pa'aga Discord server lea e sili atu i le 3,000 tamaiti a'oga tamaoaiga, tagata su'esu'e ma economists mai le 30 atunu'u e fesoasoani le tasi i le isi e a'oa'o.

Dollar Scholars

  1. Fa'avae

    Dollar Scholars

    O se fa'avae mo a'oa'oga tau tupe a tagata matutua, a'oa'oina i le tagata lava ia ma fa'avae i su'esu'ega, aua e le mafai e le aitalafu ona fesoasoani i tagata e le iloa pe fa'afefea ona fa'aaogaina.

    • Tupe ma teugatupe
    • Togi aitalafu
    • Lafoga
    • Mokesi

Galulue fa'atasi ma Dollar Scholars

Polokalame

  1. Atina'eina o le upega tafa'ilagi

    dollarscholars.org

    Na ou fuafuaina, fa'avasegaina ma otometi fa'aliliuina le 'upega tafa'ilagi a le fa'avae: o se 'upega tafa'ilagi masani a Django na fa'ata'ita'ia ma le Tailwind CSS ma le tagata lava ia ma nginx i luga o le Ubuntu server, toe fausia ma le saogalemu i le mafaufau ina ua mae'a se cyberattack. E sau i le 44 gagana lomiga, e aofia ai le fa gagana taumatau i le agavale (Arapi, Eperu, Peresia ma Urdu), ma e mafai e tagata fa'aliliu volenitia ona siaki ma fa'asa'o so'o se lomiga e ala i se faigofie CSV workflow.

    • Python
    • Django
    • Tailwind CSS
    • Faaliliuga masini
    • Ubuntu & nginx
  2. Financial Knowledge Study

    O se su'esu'ega o le malamalama tau tupe ma le su'ega i gagana e 31, fa'atasi ai ma le lima ta'aloga e pei o le Pirate Speak ma le 1930s Mobster. O fesili na fetu'una'i mai le Lusardi & Mitchell (2014) ma le FINRA Foundation's National Financial Capability Study; o fa'aliliuga na tusia ma Microsoft Copilot ma Deep Translator ma iloiloina e volenitia pe a maua.

    • Mamanu o le su'esu'ega
    • Python
    • Django
    • JavaScript
    • Faaliliuga masini
  3. Su'esu'ega fa'amaumauga

    Fa'amaumauga ma su'esu'ega geospatial

    Python (pandas) ma Stata mo fa'amaumauga tetele e pei o su'esu'ega a le aiga, ma le GIS (ArcGIS) mo fa'amaumauga satelite, e aofia ai le fa'afanua o moli moli i le po o le VIIRS i tua atu o lenei 'upega tafa'ilagi.

    • Python
    • pandas
    • Stata
    • ArcGIS
    • VIIRS

Fa'amatalaga eSports

  1. 2004 – 2011

    eSports Commentator

    Valaauina Counter-Strike 1.6 ma Warcraft III mo faasalalauga e aofia ai DirecTV, MTV ma MTV Korea, faatasi ai ma casters e pei o Alex “Vansilli” Nguyen, Glenn “Boomerman” Lane ma Zach “Hoo_man” Godfrey.

    • World Cyber Games
    • MBC Game
    • World e-Sports Games
    • E3
  2. Press · MTV.com (teuina)

    Video game play-by-play comes with a deadly challenge

Maimoa i le faamaumauga atoa o le faasalalauga