Hais Txog

Kuv txoj haujlwm nyob ntawm qhov sib tshuam ntawm kev txhim kho kev lag luam, kev ua liaj ua teb, poj niam txiv neej, thiab kev ntsuas hauv cov teb chaws tab tom txhim kho. Kuv siv kev soj ntsuam tsev neeg loj thiab cov ntaub ntawv geospatial los kawm txog kev ua haujlwm ntawm tsev neeg, liaj teb, thiab kev lag luam, tshwj xeeb hauv tej chaw uas cov ntaub ntawv tsawg lossis nyuaj rau sau. Kuv tau txais kuv daim PhD ntawm Graduate Institute hauv Geneva thiab tau ua haujlwm nrog cov ntaub ntawv soj ntsuam ntawm IFPRI, IMF, thiab World Bank.

Kuv tsim Dollar Scholars, ib lub koom haum uas muab kev kawm nyiaj txiag raws li pov thawj rau cov neeg laus uas tej zaum tsis tau muaj kev nkag mus rau nws. Kuv kuj tau tsim nws lub vev xaib thiab kev xeem ntau hom lus.

Ua ntej kawm txog kev lag luam, kuv tau siv xya xyoo ua ib tug kws tshaj lij eSports, hu xov tooj rau Counter-Strike thiab Warcraft III kev sib tw los ntawm Seoul mus rau Monza txij xyoo 2004 txog 2011. Kuv tseem ua si Counter-Strike 2 thiab Overwatch 2, thiab ua raid ua bard hauv EverQuest.

Kev tshawb fawb

  1. Daim ntawv ua haujlwm

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

    Across six countries, farm households lean heavily on family labor during droughts and unusually wet periods. Women-headed households are significantly more constrained.

    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.

    • Kev ua liaj ua teb
    • Kev ua haujlwm
    • Huab cua hloov pauv
    • Poj niam txiv neej
  2. Kev ua haujlwm tseem tab tom ua

    Assessing land area from above: evidence from Armenia

    Ib qho kev sim randomized hauv kev tshawb fawb tsev neeg: kev taug qab cov teb chaws ntawm duab satellite siv sijhawm tsawg dua 42% piv rau kev ntsuas nrog GPS thiab txhim kho dua li kev kwv yees uas tus kheej qhia, txawm tias nws tsis raug zoo li 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.

    • Txoj kev tshawb nrhiav
    • Duab satellite
    • RCT

Saib tag nrho CV

Kev qhia ntawv

Nws yeej yog ib tug xibfwb zoo tshaj plaws uas kuv tau muaj ntawm American University. Nws ua txhua yam kom chav kawm siv cov piv txwv tiag tiag ntawm cov ntaub ntawv es tsis yog tsuas yog 'Sally muaj 4 lub txiv apples thiab Dave muaj 15 lub txiv kab ntxwv' xwb... Nws yog txhua yam uas ib tug xibfwb hauv tsev kawm qib siab yuav tsum muaj thiab ntau dua.
Kev ntsuam xyuas tub ntxhais kawm, Kev Siv Econometrics, American University
  1. 2021 – 2024

    Xib Fwb Pab · Tsev Kawm Ntawv Qib Siab Asmeskas

    Kev loj hlob kev lag luam, kev siv econometrics, thiab micro- thiab macroeconomics pib, qhia nrog cov ntaub ntawv tiag tiag thiab piv txwv tiag tiag.

    • Kev Txhim Kho Kev Lag Luam
    • Kev Siv Econometrics I
    • Taw Qhia Microeconomics
    • Taw Qhia Macroeconomics
  2. 2015 – 2018

    Tsev Kawm Qib Siab, Geneva

    Economics rau International Affairs (2015–2016) thiab kev tshuaj xyuas rau Macroeconomics A (2017–2018).

  3. Zej Zog

    Economics Discord

    Ib lub koom haum kawm ntawv 501(c)(3) thiab ib lub Discord server koom tes uas muaj ntau tshaj 3,000 tus tub ntxhais kawm kev lag luam, cov kws tshawb fawb thiab cov kws txawj nyiaj txiag los ntawm kwv yees li 30 lub teb chaws pab ib leeg kawm.

Dollar Scholars

  1. Tus Tsim

    Dollar Scholars

    Ib lub hauv paus rau kev kawm nyiaj txiag rau cov neeg laus, qhia hauv tus kheej thiab raws li kev tshawb fawb, vim tias credit tsis pab tau cov neeg uas tsis paub siv nws.

    • Nyiaj & kev lag luam nyiaj txiag
    • Qhab nia qiv nyiaj
    • Se
    • Kev qiv nyiaj tsev

Koom tes nrog Dollar Scholars

Kev pab cuam

  1. Kev tsim web

    dollarscholars.org

    Kuv tau tsim, sau code thiab txhais tau lub vev xaib ntawm lub foundation: ib lub vev xaib Django tshwj xeeb nrog Tailwind CSS thiab tus kheej hosted nrog nginx ntawm Ubuntu server, rov tsim dua nrog kev ruaj ntseg tom qab muaj kev tawm tsam hauv internet. Nws muaj 44 hom lus, suav nrog plaub hom lus sab xis mus sab laug (Arabic, Hebrew, Persian thiab Urdu), thiab cov neeg txhais lus pub dawb tuaj yeem tshuaj xyuas thiab kho txhua version los ntawm ib qho CSV yooj yim.

    • Python
    • Django
    • Tailwind CSS
    • Txhais lus tshuab
    • Ubuntu & nginx
  2. Financial Knowledge Study

    Ib qho kev tshawb nrhiav thiab kev xeem nyiaj txiag ntau hom lus hauv 31 hom lus, ntxiv rau tsib hom lus lom zem xws li Pirate Speak thiab 1930s Mobster. Cov lus nug tau hloov kho los ntawm Lusardi & Mitchell (2014) thiab FINRA Foundation lub National Financial Capability Study; cov txhais lus tau sau nrog Microsoft Copilot thiab Deep Translator thiab tau tshuaj xyuas los ntawm cov neeg pub dawb thaum muaj.

    • Kev tsim qauv kev tshawb nrhiav
    • Python
    • Django
    • JavaScript
    • Txhais lus tshuab
  3. Kev siv tshuab tshawb fawb

    Cov ntaub ntawv thiab kev tshuaj xyuas thaj chaw

    Python (pandas) thiab Stata rau cov ntaub ntawv loj xws li kev tshuaj xyuas tsev neeg, thiab GIS (ArcGIS) rau satellite data, suav nrog kev kos duab VIIRS nighttime-lights composites tom qab lub vev xaib no.

    • Python
    • pandas
    • Stata
    • ArcGIS
    • VIIRS

Kev piav qhia eSports

  1. 2004 – 2011

    Tus Neeg Tshaj Tawm eSports

    Hu ua Counter-Strike 1.6 thiab Warcraft III rau cov neeg tshaj tawm xws li DirecTV, MTV thiab MTV Korea, nrog rau cov neeg tshaj tawm xws li Alex “Vansilli” Nguyen, Glenn “Boomerman” Lane thiab Zach “Hoo_man” Godfrey.

    • World Cyber Games
    • MBC Game
    • World e-Sports Games
    • E3
  2. Xov xwm · MTV.com (khaws cia)

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

Saib tag nrho broadcast log