Ebikwata ku
Omulimu gwange guli ku mutendera gw'enkulaakulana y'ebyenfuna, ebyobulimi, ekikula ky'abantu, n'okupima mu nsi ezikyakula. Nkozesa okunoonyereza kw'amaka amanene n'obubaka obw'enjawulo okunoonyereza ku ngeri amaka, faamu n'amatale gye bikolamu, naddala mu bifo ebitali bimu oba nga bizibu okukuŋŋaanya. Nfunye PhD mu Graduate Institute e Geneva era nkoze mu kunoonyereza ku IFPRI, IMF, ne World Bank.
Natandikawo Dollar Scholars, ekitongole ekisomesa abantu abakulu mu by'enfuna ekiyinza okuba nga tekisoboka. Era nazimba omukutu gwayo ogwa yintaneeti n'ebibuuzo by'ennimi ennansi.
Nga sinnatandika byenfuna, namala emyaka musanvu ng'omukugu mu by'emizannyo, nga nyita empaka za Counter-Strike ne Warcraft III okuva e Seoul okutuuka e Monza wakati wa 2004 ne 2011. Nkyazannya Counter-Strike 2 ne Overwatch 2, era nkyazannya nga bard mu EverQuest.
Okunoonyereza
-
Empapula z'emirimu
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.
-
Omulimu gugenda mu maaso
Assessing land area from above: evidence from Armenia
Okunoonyereza okwakolebwa mu maka g'amaka: okulondoola ebifo ku bifaananyi bya satellite kyatwala obudde obutono ebitundu 42% okusinga okupima ne GPS era n'okulongoosa ku kugerageranya okw'ebyokwerinda, wadde nga tekwali kutuufu okusinga 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.
Okusomesa
Mu butuufu y'omu ku basomesa abasinga obulungi gwe nali mfunye mu yunivasite y'e Amerika. Agamba nti y'omu ku basomesa abasinga obungi mu yunivasite y'e Makerere mu kifo ky'okugamba nti 'Sally alina amapaapaali 4 ate Dave alina obuzibu bw'emicungwa 15'. Y'omu ku basomesa ba yunivasite abasinga obungi mu yunivasite y'e Makerere n'ebirala.
-
2021 – 2024
Adjunct Professor · American University
Economic development, applied econometrics, and introductory micro- and macroeconomics, taught with real data and real-world examples.
-
2015 – 2018
Graduate Institute, Geneva
Economics for International Affairs (2015–2016) and review sessions for Macroeconomics A (2017–2018).
-
Ebibiina
Economics Discord
A 501(c)(3) educational nonprofit and partnered Discord server where more than 3,000 economics students, researchers and economists from around 30 countries help each other learn.
Dollar Scholars
-
Omutandisi
Dollar Scholars
A foundation for adult financial education, taught in person and grounded in research, because credit cannot help people who don't know how to use it.
Pulogulaamu
-
Enkulaakulana ya webusayiti
dollarscholars.org
I designed, coded and auto-translated the foundation's website: a custom Django site styled with Tailwind CSS and self-hosted with nginx on an Ubuntu server, rebuilt with security in mind after a cyberattack. It comes in 44 language versions, including four right-to-left languages (Arabic, Hebrew, Persian and Urdu), and volunteer translators can check and correct any version through a simple CSV workflow.
-
Financial Knowledge Study
Okunoonyereza ku by'enfuna n'ebibuuzo mu nnimi 31, wamu n'ebibuuzo bitaano nga Pirate Speak ne 1930s Mobster. Ebibuuzo bikyusiddwa okuva mu Lusardi & Mitchell (2014) ne FINRA Foundation's National Financial Capability Study; Ebibuuzo byawandiikibwa ne Microsoft Copilot ne Deep Translator era ne byekenneenyezebwa bannakyewa bwe kiba kisoboka.
-
Okunoonyereza ku kompyuta
Data and geospatial analysis
Python (pandas) ne Stata ku dataset ennene nga okunoonyereza kw'amaka, ne GIS (ArcGIS) ku bubaka bwa satelaiti, omuli n'okuwandiika ebifaananyi bya VIIRS ebiri emabega wa webusayiti eno.
Ebifaananyi bya Emizannyo
-
2004 – 2011
eSports Commentator
Called Counter-Strike 1.6 and Warcraft III for broadcasters including DirecTV, MTV and MTV Korea, along with casters like Alex “Vansilli” Nguyen, Glenn “Boomerman” Lane and Zach “Hoo_man” Godfrey.
-
Press · MTV.com (archived)
Video game play-by-play comes with a deadly challenge