pijjutilik
iqqanaijaara akunninganiippuq pivalliajulirinirmit, piruqsiinirmit, arnait/angutiit, amma uukturainiq pivalliajunit nunaligjuanit. atusuunguvunga angijunit iglumiuqatigiinit qaujisangningnit nunannguakkullu titiqqanit qaujisaqłunga qanuq iglumiuqatigiit, piruqsiiviit, niuviaksaqangniillu aulavangmangaata, piluaqtumit titiqqanit pitaqattianngittunit nuattijunnattianngittunilluunniit. PhD−taalauqtunga Graduate Institute jiniivamit iqqanaijaqattaqsimallungalu qaujisarutinut titiqqanit IFPRI, IMF, nunarjuamillu kiinaujakkuvingmit.
pigiaqtittilauqpunga Dollar Scholars, tunngaviujuq pitittivakłuni qaujijjutaujunnaqtunik−tunngavilingnik kiinaujalirinirmut ilinniaqtittinirmik innarnut aturunnalauqsimanngituinnariaqaqtanginnut. sanalaurmijara ikiaqqivik amma qassikallangnik uqausilingnik apiqsuutinik.
kiinaujalirinirmut sivurngagut, arraagunik 7-nik qarasaujakkut pinnguaqtulirinirmut uqallaktiulauqsimavunga, uqalugvigivakługit Counter-Strike amma Warcraft III pinnguarniujut Séoul-mit Monza 2004-lu 2011-lu akunninginni. suli pinnguaqpakkama Counter-Strike 2 amma Overwatch 2-mi, amma pinnguaqtiullunga EverQuest-mi.
qaujisaqtuliriniq
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pilirijjutiksat paippaat
Spreading the love around: how does agricultural labor demand respond to temporary weather shocks?
arvinilingni nunaligjuani, piruqsiivingmi iglumiuqatigiit tatiqarjuaqput ilagiinik iqqanaijaqtinik paniluaqtillugu amma qausirnaraangat. arnanut aulataujut iglumiuqatigiit aksuruqtitauniqsauvut.
isumagijaujut
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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pilirianguvalliajut
Assessing land area from above: evidence from Armenia
tamaanngatuinnaq uukturaqtaujuq iglumiuqatigiinut qaujisarniujumut: qaujisainiq iniujunik qangattaqtitausimajukkut ajjiliurutikkut 42%−mik qilammiuniqsaq uukturaqtaulluni tammariikkutimut piusigiarłunilu nangminiq−unikkausiusimajunut miksausaktausimajunut, tammaqsimannginniqsaugaluaqłuni tammariikkutimik.
isumagijaujut
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.
ilisainiq
ilisaijittiavaulaanguqatauvuq, piulaangunngippat ilisaijigilauqsimajannik amialikamiut silattuqsarvigjuangani. aksuruttiaqłuni ilinniaqtinik atuqtittivakpuq pillattaanik uuktuutinik titiraqsimajunik imannaunngingaaqtuq, 'saali tisamanik aapulik amma taiv 15-nik milluagarnik' akaunngiliurutiqatuinnanngingaaqłuni... kisulimaattianguvuq silattuqsarvingmi ilisaijirjuangulluni amma asikkanningit.
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2021 – 2024
ilisaijimmarik · amialikamiut silattuqsarvigjuanga
pivalliajuliriniq, atuqtaujut nunamiutalirijjutit, amma pigialisaaqtillugit mikinniqsat amma angijut makimajjutiksat, ilinniaqtittijjutaullutik titiqqallattaanik amma nunarjuarmi uuktuutillattaanik.
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2015 – 2018
pijariiqtunut ilinniarvik, jiniiva
kiinaujaliurasungnirmut nunarjualimaami pilirinirijauvaktunut (2015–2016) qimirrunirmullu piliriqatigiingniit Macroeconomics A (2017–2018).
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nunalik:
Economics Discord
501(c)(3) ilinniarnilirinirmut kiinaujaliurasuktiunngittuq piliriqatigijaullunilu Discord ikiaqqitittivik 3,000 ungataani kiinaujaliurasungnirmut ilinniaqtiit, qaujisaqtiit amma kiinaujaliurasuaqtit 30 qanigijaani nunaligjuanit ikajuqattautillutik ilittivallianirmik.
Dollar Scholars
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pigiaqtittisimajuq
Dollar Scholars
tunngavik innarnut kiinaujalirinirmut ilinniaqtittinirmut, ilinniaqtittijjutaulluni upagutisimaluni amma tunngaviqaqłuni qaujisarnirmut, suuqaimma akiliksaqarniq ikajurunnanngimmat inungnik qaujimanngittunik qanuq aturiaksaq.
pilirianguniaqtut
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ikiaqqivikkut pivalliatittiniq
dollarscholars.org
aaqqiksuilauqpunga, nalunaikkuttiqsuqłunga amma tukiliurikautigilauqłunga tunngaviup ikiaqqivingannik: Django ikiaqqivik aaqqiksimalluni Tailwind CSS−mik amma nangminiq−aulataulluni nginx−mut Ubuntu ikiaqqitittivingmut, sanajaukkanniqłuni attarnaqtumiitittailinirmut isumagillugu qarasaujakkut pinirluktaujuqalauqtillugu. 44−nik uqausiqtaqaqpuq, ilagijaullutik tisamat taliqpingmit saumingmut uqausiit (Arabic, Hebrew, Persian amma Urdu), amma akiliqsuqtaunngiłłutik tukiliurijit qaujigiarunnaqłutik tammaqsimajunniiqtittijunnaqłutiglu naliangnituinnaq titiraqsimajunik ajurnanngittukkut CSV-mut piliriniujukkut.
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Financial Knowledge Study
ajjigiinngittunik uqausirnik kiinaujalirinirmut qaujimanirmut qaujisarniq amma apiqsuutiralaat 31-nut uqausirnut, ammalu tallimat pinnguarnaqtut suurlu Pirate Speak amma 1930s Mobster. apiqqutiit pijausimajut Lusardi & Mitchell (2014) amma FINRA Foundation-kut kanatami kiinaujalirijunnarnirmut qaujisarutinik; tukiliuqtaujut titiraqtaulauqtut Microsoft Copilot amma Deep Translator qimirrujaullutiglu akiliqsuqtaunngiłłutik atuinnaujaraangata.
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qaujisaqtulirinirmut qarisaujalirijjutit
titiraqsimajut qaujisaqtaunikuit amma nunanngualirijjutinik qaujisarniq
Python (pandas) amma Stata angijunut katiqsuqsimajunut suurlu iglumiuqatigiinut qaujisarutinut, amma nunanngualirijjutinut (ArcGIS) qangattaqtitausimajukkut katiqsuqsimajunut, ilagijaulluni nunanngualiurniq VIIRS unnuakkut qaummaqqutinut katiqsuqsimajunut taassuma ikiaqqiviup tunuani.
qarasaujakkut pinnguaqtulirinirmut uqausiksat
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2004 – 2011
pinnguaqtulirinirmut uqallakti
taijaujuq Counter-Strike 1.6 amma Warcraft III naalautilirijinut ilagijaullutik DirecTV, MTV amma MTV Korea, ilaqaqłutik tarrijaqtittijinik suurlu Alex “Vansilli” Nguyen, Glenn “Boomerman” Lane amma Zach “Hoo_man” Godfrey.
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pivalliajut · MTV.com (tuqquqtausimajut)
Video game play-by-play comes with a deadly challenge