Mō
E noho ana taku mahi i te whakawhitinga o te whanaketanga ohaoha, ahuwhenua, ira tangata, me te inenga i ngā whenua e tipu ana. Ka whakamahi ahau i ngā rangahau kāinga tauine nui me ngā raraunga geospatial hei ako i te mahi a ngā kāinga, ngā pāmu, me ngā mākete, otirā i ngā tautuhinga e iti ana, he uaua rānei te kohikohi raraunga. I whiwhi ahau i taku PhD i te Whare Wānanga Mātauranga i Hiniwa, ā, kua mahi ahau me ngā raraunga rangahau i IFPRI, te IMF, me te Pēke Ao.
I whakatūria e au a Dollar Scholars, he tūāpapa e whakarato ana i te mātauranga pūtea ā-taunakitanga ki ngā pakeke kāore anō pea kia uru atu. I hangaia hoki e au tōna paetukutuku me te pātaitai reo maha.
I mua i te ohaoha, e whitu tau ahau hei kaiwaiata hākinakina ngaio, e karanga ana i ngā whakataetae Counter-Strike me Warcraft III mai i Seoul ki Monza i waenganui i te 2004 me te 2011. Kei te tākaro tonu ahau i te Counter-Strike 2 me Overwatch 2, me te whakaeke hei kaihoko i EverQuest.
Rangahau
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Pepa mahi
Spreading the love around: how does agricultural labor demand respond to temporary weather shocks?
Puta noa i ngā whenua e ono, e whakawhirinaki nui ana ngā kāinga pāmu ki ngā mahi whānau i te wā o te tauraki me ngā wā mākū rerekē. He tino whāiti ake ngā kāinga ā-wāhine.
Whakawaitara
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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Kei te kaunuku te mahi
Assessing land area from above: evidence from Armenia
He whakamātautau matapōkere i roto i tētahi uiuinga kāinga: he 42% iti iho te wā o te aroturuki i ngā āpure i runga i ngā atahanga aorangi, ā, he pai ake i runga i ngā whakatau tata pūrongo-whaiaro, ahakoa he iti iho te tika i te GPS.
Whakawaitara
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.
Whakaako
Ko ia tonu tētahi o, mēnā ehara i te ahorangi tino pai rawa atu i a au i te Whare Wānanga o Amerika. Ka haere a ia ki te whakamahi i ngā tauira raraunga o te ao tūturu, kaua ko te whai noa iho i ngā raruraru kāhua 'E 4 ngā āporo a Sally, ā, e 15 ngā ārani a Dave'... Ko ia ngā mea katoa e tika ana kia noho hei ahorangi kāreti, ā, ko ētahi.
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2021 – 2024
Ahorangi Tāpiri · Te Whare Wānanga o Amerika
Ko te whanaketanga ohaoha, te econometrics, me te tohutohu moroiti me te tonotono, i whakaakona ki ngā raraunga tūturu me ngā tauira o te ao tūturu.
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2015 – 2018
Te Whare Wānanga Paetahi, Hiniwa
Economics for International Affairs (2015–2016) me ngā wātū arotake mō Macroeconomics A (2017–2018).
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Hapori
Economics Discord
He tūmau Discord 501(c)(3) mātauranga kore hua me te tūmau hoa e āwhina ana i ngā ākonga ohaoha e 3,000, ngā kairangahau me ngā kaitohutohu mai i ngā whenua e 30 ki te ako.
Dollar Scholars
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kaiwhakarewa
Dollar Scholars
He tūāpapa mō te mātauranga pūtea pakeke, i whakaakona ā-tangata, i runga anō i te rangahau, nā te mea kāore e taea e te nama te āwhina i ngā tāngata kāore i te mōhio me pēhea te whakamahi.
Papatono
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Whanaketanga tukutuku
dollarscholars.org
I hoahoatia, i waeheretia, i whakamāori-aunoa hoki i te paetukutuku o te tūāpapa: he pae Django ritenga i kāhuatia ki te Tailwind CSS, ā, i taurimatia e au anō me nginx i runga i tētahi tūmau Ubuntu, i hangaia anō me te haumarutanga i muri i tētahi whakaekenga ā-ipurangi. Ka tae mai i roto i ngā putanga reo e 44, tae atu ki ngā reo matau-ki-mauī e whā (Arapi, Hiperu, Pahia me Urdu), ā, ka taea e ngā kaiwhakamāori tūao te taki me te whakatika i tētahi putanga mā tētahi rerengamahi CSV māmā.
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Financial Knowledge Study
He uiuinga mātauranga ā-pūtea reo maha me te pātaitai i roto i ngā reo e 31, me ngā mea tākaro e rima pērā i te Pirate Speak me te Mobster o te tau 1930. Ka whakaritea ngā pātai mai i Lusardi & Mitchell (2014) me te National Financial Capability Study a te FINRA Foundation; i tuhia ngā whakamāoritanga ki te Microsoft Copilot me te Deep Translator, ā, i arotakea e ngā tūao ki te wātea.
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Rorohiko rangahau
Tātari raraunga me te geospatial
Python (pandas) me Stata mō ngā huinga raraunga nui pēnei i ngā rangahau kāinga, me te GIS (ArcGIS) mō ngā raraunga amiorangi, tae atu ki te whakamahere i ngā hiato rama pō VIIRS i muri i tēnei paetukutuku.
kōrero hākinakina
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2004 – 2011
Kaiwaiata Hākinakina
I karangatia ko Counter-Strike 1.6 me Warcraft III mō ngā kaipānui tae atu ki DirecTV, MTV me MTV Korea, i te taha o ngā kaipānui pēnei i Alex “Vansilli” Nguyen, Glenn “Boomerman” Lane me Zach “Hoo_man” Godfrey.
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Pēhi · MTV.com (pūranga)
Video game play-by-play comes with a deadly challenge