Me baleta

Na noqu cakacaka e tiko ena veisemati ni veivakatorocaketaki ni bula vakailavo, teitei, tagane kei na yalewa, kei na ivakarau ena veimatanitu vakatorocaketaki. Au vakayagataka na vakadidike ni vuvale lelevu kei na itukutuku ni geospatial me'u vulica kina na cakacaka ni veivale, iteitei, kei na makete, vakabibi ena vanua e lailai se dredre kina na kena kumuni na itukutuku. Au rawata na noqu PhD ena Graduate Institute mai Geneva ka cakacaka vata kei na itukutuku ni vakadidike ena IFPRI, na IMF, kei na World Bank.

Au a tauyavutaka na Dollar Scholars, e dua na yavu ka vakarautaka na vuli vakailavo yavutaki vakadinadina vei ira na uabula era se bera beka ni rawata. Au a tara talega na kena mataveilawa kei na veitarogi ena veimataqali vosa.

Ni bera na economics, au a vitu na yabaki vakadaunivakamacala ni eSports, kaciva na sotasota ni Counter-Strike kei na Warcraft III mai Seoul ki Monza ena maliwa ni 2004 kei na 2011. Au se qito tikoga ena Counter-Strike 2 kei na Overwatch 2, ka raid vaka bard ena EverQuest.

vakadidike

  1. Pepa ni cakacaka

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

    Ena ono na matanitu, era vakararavi vakalevu na vuvale ni teitei ki na cakacaka ni matavuvale ena gauna ni lauqa kei na gauna suasua. Era sa yalani vakalevu cake na vuvale era ulu tiko kina na marama.

    ivakamacala

    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.

    • Teitei
    • cakacaka
    • Veivakurabuitaki ni draki
    • tagane se yalewa
  2. Cakacaka sa toso tiko

    Assessing land area from above: evidence from Armenia

    E dua na vakatovotovo randomized ena loma ni dua na vakadidike ni vuvale: na vakamuri ni vanua ena iyaloyalo ni setilaiti e taura e 42% lailai na gauna mai na ivakarau ena GPS ka vakavinakataka cake na vakasama e ripotetaki koya ga, e dina ga ni sega soti ni dodonu mai na GPS.

    ivakamacala

    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.

    • Iwalewale ni vakadidike
    • iYaloyalo ni setilaiti
    • RCT

Raica na CV taucoko

Veivakavulici

O koya dina e dua vei ira, kevaka e sega ni parofesa vinaka duadua au se qai bau bau sotava ena Univesiti ni Amerika. E saga vakaukauwa me vakayagataka na kalasi na ivakaraitaki dina ni itukutuku ka sega ni tiko ga na leqa ni 'Sally e 4 na apolo kei Dave e 15 na moli'... O koya na veika kece e dodonu me vaka e dua na parofesa ni koliji kei na so tale.
Vakadidike ni gonevuli, Applied Econometrics, Univesiti ni Amerika
  1. 2021 – 2024

    iVukevuke ni Parofesa · Univesiti ni Amerika

    Veivakatorocaketaki ni bula vakailavo, vakayagataki ni econometrics, kei na ivakamacala taumada ni micro- kei na macroeconomics, vakavulici ena itukutuku dina kei na ivakaraitaki dina ni vuravura.

    • vakatorocaketaki vakailavo
    • Vakayagataki Econometrics I
    • iVakamacala ni Microeconomics
    • iVakamacala ni Macroeconomics
  2. 2015 – 2018

    Koronivuli ni Koronivuli, Geneva

    Economics for International Affairs (2015–2016) kei na railesuvi ni Macroeconomics A (2017–2018).

  3. itikotiko

    Economics Discord

    E dua na 501(c)(3) vuli sega ni vakatubu ilavo kei na veitokani ni Discord server ka ra veivukei kina e sivia na 3,000 na gonevuli ni economics, dauvakadidike kei na economists mai na 30 na matanitu.

Dollar Scholars

  1. tauyavutaka

    Dollar Scholars

    E dua na yavu ni vuli vakailavo ni uabula, vakavulici vakatamata ka yavutaki ena vakadidike, baleta na dinau e sega ni rawa ni vukei ira na tamata era sega ni kila na kena vakayagataki.

    • Ilavo kei na baqe
    • iVakatagedegede ni dinau
    • ivakacavacava
    • veivakadeitaki

Veitokani kei Dollar Scholars

Parokaramu

  1. Vakatorocaketaki ni mataveilawa

    dollarscholars.org

    Au a droinitaka, coded ka vakadewataka na mataveilawa ni yavu: e dua na mataveilawa ni Django tudei styled vata kei na Tailwind CSS ka vakaikoya vata kei nginx ena dua na server ni Ubuntu, tarai cake tale ena veitaqomaki ena vakasama ni oti e dua na cyberattack. E lako mai ena 44 na mataqali vosa, oka kina e va na vosa imatau ki na imawi (Arapea, Iperiu, Perisia kei na Urdu), ka rawa vei ira na dauvakadewa volodia me ra dikeva ka vakadodonutaka e dua ga na kena mataqali ena dua na cakacaka rawarawa ni CSV.

    • Python
    • Django
    • Tailwind CSS
    • Vakadewa vakamisini
    • Ubuntu & nginx
  2. Financial Knowledge Study

    E dua na vakadidike kei na veitarogi ni kila vakailavo ena 31 na vosa, vata kei na lima na qito me vaka na Pirate Speak kei na 1930s Mobster. Na taro e tauri mai na Lusardi & Mitchell (2014) kei na FINRA Foundation's National Financial Capability Study; na vakadewa era tuvanaki vata kei na Microsoft Copilot kei na Deep Translator ka ra railesuva na volodia ena vanua e tiko kina.

    • Droini ni vakadidike
    • Python
    • Django
    • JavaScript
    • Vakadewa vakamisini
  3. Vakadidike ni komipiuta

    Vakadidike ni itukutuku kei na geospatial

    Python (pandas) kei na Stata me baleta na itukutuku lelevu me vaka na vakadidike ni vuvale, kei na GIS (ArcGIS) me baleta na itukutuku ni setilaiti, oka kina na mape ni cina ni bogi ni VIIRS ena daku ni mataveilawa oqo.

    • Python
    • pandas
    • Stata
    • ArcGIS
    • VIIRS

iVakamacala ni eSports

  1. 2004 – 2011

    Dauvakamacala ni eSports

    Vakatokai na Counter-Strike 1.6 kei na Warcraft III me baleta na kakaburaki oka kina na DirecTV, MTV kei na MTV Korea, vata kei ira na casters me vakataki Alex “Vansilli” Nguyen, Glenn “Boomerman” Lane kei na Zach “Hoo_man” Godfrey.

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

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

Raica na itukutuku taucoko ni kakaburaki