Liisa Laine
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liisatlaine.bsky.social
Liisa Laine
@liisatlaine.bsky.social
150 followers 31 following 5 posts
Assistant Professor of Economics at the University of Missouri. (she/her)
Posts represent my views, not my employer's
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Reposted by Liisa Laine
joannespetz.bsky.social
Want to spend a week learning skills & strategies to study the dementia care workforce?

Join us for the @awardnetwork.bsky.social Summer Training Institute, July 20-24, 2026. A stipend of $1700 will be provided for travel expenses.

Applications due Feb 27!

awardnetwork.ucsf.edu/content/summ...
Summer Training Institute | awardnetwork
awardnetwork.ucsf.edu
January 21, 2026 at 10:06 PM
Reposted by Liisa Laine
conradhackett.bsky.social
Please share - @pewresearch.org wants to hire a data archivist who will be an advocate for data users, helping to ensure that our datasets are easy to discover and reuse by researchers, journalists, and the public.
pewtrusts.wd5.myworkdayjobs.com/CenterExtern...
Pew Research Center is seeking a Data Archivist to support our commitment to open science and data transparency. This newly created role will play a key part in enhancing the accessibility, usability, and reproducibility of our research data while continuing to protect the privacy and identity of our survey participants. As Data Archivist, you will lead efforts to create and implement best practices for preparing, documenting, and disseminating datasets. These best practices should maximize FAIR (Findable, Accessible, Interoperable, and Reusable) principles while minimizing disclosure risk. You will work across teams to ensure our data is well-organized and thoroughly documented. You will serve as an internal advocate for data users, helping to ensure that our datasets are not only accurate and comprehensive but also easy to discover and reuse by researchers, journalists, and the public. This is a full-time, Pew Research Center position. The position is funded by an external grant and limited to a two-year term. Primary Responsibilities Develop optimization procedures to improve discoverability of our datasets on internal and external platforms Develop and maintain standards to improve accessibility of our microdata and tab plans by changing/adding formats and/or adding documentation Identify metadata documentation best practices and a process to implement those best practices at the Center Work with Legal to evaluate most appropriate license to publicly share the Center's survey data, including Creative Common options Identify and correct processing inefficiencies in our data publication process Sit on the internal Disclosure Risk Taskforce Document analytical decisions and code to support transparency and replicability, including the development of a RACI chart for publishing code to recreate derived variables that are used in reports but are not included in the microdata Manage/create merged time series datasets for select Center datasets Identify a process for internally archiving data and projects that are no longer in active use Identify and implement a process to assign Digital Object Identifiers (DOI) to microdata Prepare and upload public-facing datasets and restricted-use datasets for external sharing. Train staff on FAIR principles and best practices in data archiving. Education/Training/Experience Bachelor’s degree required, preferably in library sciences, organizational management, or a related field. 5-7 years of experience with data archiving, database management, or survey research. This may include graduate training at the MA/PhD level or equivalent experience in an applied setting. At least 3-5 years of experience applying FAIR and open science principles. Background in social science research or data curation. Experience in data management, archiving, or research support. Familiarity with FAIR principles, Creative Common licensing, data privacy principles, and exposure risk. Proficiency in metadata standards and documentation tools. Experience managing research projects, including working collaboratively with a multidisciplinary team. Experience with statistical software (e.g., R, Python, Stata) and reproducible research workflows. Knowledge, Skill and Workplace Requirements Strong organizational and communication skills. Detail oriented with exacting standards to maintain accuracy and impartiality in all work products. Ability to work independently to carry out special projects from start to finish. Ability to balance numerous tasks simultaneously. Ability to work collaboratively and collegially with other team members, as well as with staff from other Pew Research Center teams. Ability to balance competing priorities and identify optimal solutions FLSA Status: Exempt Compensation: Starting salary is commensurate with experience within the range of $100,000 - $120,000. Hybrid Work Schedule: Pew Research Center staff are required to be present in the Center’s Washington, D.C., office three core days weekly (Tuesday, Wednesday, Thursday). Staff may work virtually from remote locations on other days in a typical work week.
January 6, 2026 at 6:27 PM
Reposted by Liisa Laine
aaronsojourner.org
#econ_ra great opportunity
careers-brookings.icims.com/jobs/3763/re...
Overview Join one of the most influential, most quoted and most trusted think tanks! The Brookings Institution is a nonprofit public policy organization based in Washington, DC. Our mission is to conduct in-depth research that leads to new ideas for solving problems facing society at the local, national and global level.   We bring together leading experts in government and academia from all over the world, rooted in open-minded inquiry and representing diverse points of view, who provide the highest quality research, policy recommendations, and analysis. Research topics cover a full range of public policy issues in economics, foreign policy, development, governance and metropolitan policy.   With fair and transparent business practices, clear communication, mutual respect, and a collaborative atmosphere that offers both professional and personal development opportunities, Brookings offers an inclusive and welcoming workplace that values the efforts of all contributors
December 12, 2025 at 9:18 PM
Reposted by Liisa Laine
aeajournals.bsky.social
Forthcoming in AEJ: Economic Policy: "Prioritizing Benefit? How Low-Income Patients Respond to Prescription Cost-Sharing" by Christopher Hollrah. www.aeaweb.org/articles?id=...
Prioritizing Benefit? How Low-Income Patients Respond to Prescription Cost-Sharing
(Forthcoming Article) - This paper measures how cost-sharing impacts older low-income patients, exploiting a disconti-nuity in eligibility for a prescription drug subsidy for those who lose access to ...
www.aeaweb.org
December 11, 2025 at 3:14 PM
Reposted by Liisa Laine
aeajournals.bsky.social
Forthcoming in the AER: "Making Bricks from Straw: Resources and Productivity in Health Care" by Edward N. Okeke. www.aeaweb.org/articles?id=...
Making Bricks from Straw: Resources and Productivity in Health Care
(Forthcoming Article) - Why do health facilities in developing countries do so poorly? This paper examines the role of financial constraints. I describe an experiment in which we surprised health work...
www.aeaweb.org
December 11, 2025 at 3:51 PM
Reposted by Liisa Laine
nber.org
Open call for papers, Geography and Health: Exploring Rural-Urban Disparities. Conference to be held in Cambridge, MA on June 8, 2026. Submit papers by 11:59pm EDT on March 8, 2026. More information: www.nber.org/calls-papers...
December 10, 2025 at 4:32 PM
Reposted by Liisa Laine
erzoluttmer.bsky.social
Some authors have contacted AEA editors about an unexpected loss of data access that affects their ability to respond to an R&R. If this affects you, please explain the circumstances in your cover letter. Or reach out to the coeditor if you need guidance before resubmitting. @aeajournals.bsky.social
October 24, 2025 at 4:50 PM
Reposted by Liisa Laine
nber.org
AI can transform both strategic decision-making and daily operations within central banks, with significant potential for workforce augmentation, from Sophia Kazinnik and Erik Brynjolfsson https://www.nber.org/papers/w33998
July 14, 2025 at 1:25 PM
Reposted by Liisa Laine
nber.org
Developing a method to estimate producers' productivity beliefs in settings where output quantities and input prices are unobservable and using it to evaluate allocative efficiency in the market for science, from Fabio Bertolotti, Kyle R. Myers, and Wei Yang Tham https://www.nber.org/papers/w34000
July 14, 2025 at 8:00 PM