Resources

Predoc Tips

Sources for finding predoctoral and RA positions

This list is not exhaustive, but it’s a good place to start.

A hub of predoc resources. Predoc.org collects useful materials, including practice coding tasks and a newsletter with advertised positions.

Sites that aggregate many postings

  • NBER posts non-NBER RA positions here, and advertises some directly here.
  • Professors and others tag relevant RA postings on the @econ_RA Twitter/X page (no account needed to read).

Organized predoc programs with a set hiring cycle

Programs for US citizens and/or permanent residents only

Other sources to check

Guides

AI Tools

I ran hands-on workshops for economists at UCSD on using Claude for Econ Research.

Claude Desktop Workshop for Economists (April 2026)

Using AI tools in economics research: writing and editing Stata, R, and Python, integrating results into Overleaf, and keeping projects and replications organized, with live examples.
Workshop slides (PDF) · workshop thread on X

Permission Modes and Auto: A Short Follow-Up (July 2026)

The difference between Manual and Auto mode, and why version controlling with git and/or Dropbox does more of the safety work than the permission prompt.
Short deck (PDF) · my global CLAUDE.md rules

Data

Datasets you may find useful to explore geo-spatial and/or mental-health-related research ideas.

Geospatial data for development & urban research

Publicly available spatial and satellite data for development and urban research:

TopicDatasetGeographic unitsTime coverageKey variablesSpatial dataAccess
Settlement & populationGHS - Global Human Settlement Layer (JRC / Copernicus)Global grid (100 m - 1 km); GHS-UCDB city polygons1975 onward, in epochsBuilt-up surface (GHS-BUILT), population (GHS-POP), settlement model / degree of urbanization (GHS-SMOD), consistently delineated cities (GHS-UCDB)Rasters; UCDB as vector polygonsFree, open
Household surveys + GPSDHS - Demographic and Health SurveysSurvey clusters, country1985 onward, repeated cross-sectionsHealth, fertility, and wealth microdata; geospatial covariates such as night lightsRandomly displaced GPS cluster coordinatesFree, registration; GPS needs a short access request
Economic activity proxyNight lights - VIIRS & DMSP (Earth Observation Group)Global grid (VIIRS ~500 m; DMSP ~1 km)DMSP 1992-2013 (an extension series runs to 2019); VIIRS 2012 onwardNighttime radiance, a standard proxy for local economic activityRastersFree, but bulk downloads now need an EOG account; also on Google Earth Engine
Urban extent, from night lightsAnnual urban extents - Zhao et al. (2022), paperGlobal grid, ~1 km1992-2020, annualBinary urban / non-urban maps built from harmonized night lights (DMSP-OLS through 2013, VIIRS-derived after). Note this is a core-urban-domain concept, not a Landsat impervious-surface product like GAIA, so the two are not drop-in substitutesRastersFree, open (CC BY 4.0)
Gridded GDPKummu et al. - gridded GDP & HDIGlobal grid, 5 arc-min (~10 km); the update also gives 30 arc-sec and admin-level polygons1990-2015, annual; the 2025 update runs 1990-2022GDP per capita PPP, total GDP, HDI. The 2025 update extends GDP per capita and downscales to admin-2, but drops HDI, so for gridded HDI you still need the 2018 releaseNetCDF; update adds gpkg and CSVFree, open (CC BY 4.0)
Gridded GDPLocal GDP estimates - Rossi-Hansberg & Zhang (2026), paperGlobal cells at 1, 0.5, and 0.25 degrees2012-2022, annualPredicted local GDP with uncertainty bounds, from a random forest on population, night lights, land use, emissions, and vegetation. Predictors reach beyond night lights, which helps if night lights are your regressorShapefiles + CSVPublic; no explicit license stated
Administrative boundariesGADMCountry down to level 2-3Current, versioned releasesAdministrative names and codesVector boundariesFree for non-commercial use
Census microdata + boundariesIPUMS InternationalHarmonized GEOLEV1 / GEOLEV2 (consistent over time) and unharmonized year-specific admin units1960 onward, census roundsCensus microdata linked to boundaries; IPUMS USA does the same for the USGIS boundary filesFree, registration
India, villages and townsSHRUG - Socioeconomic High-resolution Rural-Urban Geographic Platform (Development Data Lab)Villages and towns (shrids), plus subdistrict, district, and assembly constituencyAbout 25 years, with units held to consistent boundaries since 1991Dozens of socioeconomic datasets linked on one set of identifiers, so different Indian sources merge cleanly; browsable in the SHRUG AtlasVillage and town polygons based on the 2011 CensusFree, open access; modules downloaded separately

Working with night lights. Matt Lowe’s Night Lights and ArcGIS: A Brief Guide (2014) walks from the raw downloads to an analysis-ready dataset, covering clipping, gas-flare removal, and projections. The ArcGIS workflow still holds; its data links predate the move to the Earth Observation Group, so pair it with the VIIRS and DMSP links above. (Linked via the Internet Archive: the original MIT URL now 404s.)

Village and town data for India. SHRUG, the Socioeconomic High-resolution Rural-Urban Geographic Platform, is open data covering over 500,000 villages and 8,000 towns in India, from the Development Data Lab.

Aggregated catalogs. The UPenn Libraries GIS guide (global and US spatial data) and the geo4.dev data catalog (development-focused) list many more sources.

More spatial datasets to check (compiled by Gordon McCord)

GIS data sources for the social sciences, grouped by topic and then by country, from Gordon McCord’s list. Sources already in the geospatial table above (DHS, IPUMS, and the EOG night lights) are left out.

Multi-topic

  • Free GIS Data - Robin Wilson’s catalog of free datasets, by topic and by country
  • DIVA-GIS - country-level boundaries, roads, railways, elevation, land cover, and population density
  • Natural Earth - free vector and raster base maps at 1:10m, 1:50m, and 1:110m scales
  • Stanford EarthWorks - a searchable geospatial data repository
  • HYDE - History Database of the Global Environment: gridded population and land use over the last 12,000 years
  • G-Econ - Yale’s gridded economic activity at 1-degree cells, for several years
  • Simulated VIIRS night lights - a consistent annual series from 1992 at about 500 m, built by simulating VIIRS-like values from DMSP images (Chen et al. 2024)

Demography and income

  • WorldPop - high-resolution gridded population, global and by country
  • Meta population density maps - population density estimated from buildings detected in satellite imagery; files on HDX
  • CIESIN (Columbia) - gridded population, urban extents, and other socioeconomic data; its SEDAC collection is searchable in NASA Earthdata

Infrastructure

  • OpenStreetMap - crowd-sourced street maps for the whole world
  • gROADS - Global Roads Open Access Data Set, version 1 (1980-2010), from CIESIN
  • Accessibility to Cities (Malaria Atlas Project) - travel time to the nearest city in 2015 at 1 km (Weiss et al. 2018), listed as “Travel time to cities” on that page

Agriculture

  • EarthStat - global gridded crop areas and yields by crop, pasture, and fertilizer use
  • SAGE (Wisconsin) - environment and agriculture datasets from the Center for Sustainability and the Global Environment
  • GRACE (NASA) - monthly changes in water storage, groundwater included, from satellite gravity measurements
  • Gridded yield changes under 1-3°C of warming - maize, rice, soy, and wheat (Moore et al.)
  • Land Matrix - a public database of large-scale land deals
  • FAO AgroMaps - subnational agricultural production and yields over time, shared through McCord’s Dropbox

Health

Conflict

  • PRIO (Peace Research Institute Oslo) - conflict datasets, including Conflict Site (georeferenced armed conflicts, 1989-2008) and PRIO-GRID (a global grid with conflict, socioeconomic, and environmental variables)

Weather and climate

Other environmental data

Hazards

Urban areas

  • Atlas of Urban Expansion (NYU, UN-Habitat, and the Lincoln Institute) - urban extent of a global sample of 200 cities, 1990-2015, with growth back to the 19th century for some cities

China

Japan

Mexico

  • CONABIO geoportal - downloadable biodiversity GIS data
  • INEGI - Mexico’s statistics office, with municipal-level data to merge onto municipal boundaries

United States

US state and local

San Diego region

Sub-Saharan Africa

Mental health data

Publicly available datasets with a validated mental-health or wellbeing measure, plus a few open-replication economics papers and speech/audio depression corpora; free with registration unless a restricted/paid flag is noted. Sleep has its own section below, though the survey tables here also note what sleep each dataset collects.

Development and low- or middle-income country panels

DatasetMH / sleep measuresGeographic coverageLevelTotal NYouth available?Access
IFLS - Indonesia Family Life SurveyCES-D-10
Sleep: PROMIS quality & disturbance items (wave 5)
Indonesia, 13 provinces; province-level (GPS restricted)Individual & household~30,000 individuals / 7,200+ householdsYes, age 15+Free, registration
MxFLS - Mexican Family Life SurveyZung/Calderon depression
Sleep: daily hours (time-use, all waves)
Mexico, national; state & municipalityIndividual & household~35,000 individuals / 8,400 householdsYes, age 15+Free, registration
Young LivesSRQ-20, GAD-7/PHQ-8, Cantril
Sleep: time-use hours/day (rounds 2-5, 7)
Ethiopia, India, Peru, Vietnam; region/districtIndividual (child cohort)~12,000 childrenYouth cohort (child to young adult)Free, registration (UK Data Service)
NIDS - National Income Dynamics StudyCES-D-10
Sleep: only the CES-D restless-sleep item
South Africa, national; district municipalityIndividual~28,000 individuals / 7,300 householdsYes, age 15+Free, registration
CFPS - China Family Panel StudiesCES-D, Kessler K6
Sleep: hours (2014+), bedtime & naps (all waves)
China, 25 provinces (~95% of pop.)Individual & household~42,600 individuals / 14,960 householdsYes, age 10+Free, registration + data-use agreement
KLPS - Kenya Life Panel SurveyCES-D-10 (KLPS-4)
Sleep: bed/wake times, quality, naps (KLPS-4)
Kenya, Busia County cohort (followed nationwide and abroad)Individual (+ 2nd-gen children)~7,500 cohort + ~5,200 childrenYes (young-adult cohort)Free, open (CC0)
DHS - Demographic and Health SurveysMental Health module (optional, introduced with DHS-8 in 2022): full PHQ-9 + GAD-7
Released: Nepal 2022, Bangladesh 2022, Mozambique 2022-23, Zimbabwe 2023-24, Zambia 2024. Lesotho 2023-24 fielded PHQ-9 only, no GAD-7. Timor-Leste 2025-26 is fielded but not fully released; Sierra Leone 2026 is planned. Senegal 2023 is tagged “mental health” but uses a different, locally developed instrument, not PHQ-9/GAD-7
Sleep: none
The module is only in the surveys listed, not in most DHS; 63 countries overall, with randomly displaced GPS clustersIndividual & household~5,000-30,000 households / surveyYes, 15-49 (Bangladesh: ever-married women only; Nepal and Lesotho: a subsample)Free, registration

United States, UK & Europe

DatasetMH / sleep measuresGeographic coverageLevelTotal NYouth available?Access
Add HealthCES-D (modified)
Sleep: duration, timing & quality items (all waves)
US, national; geocodes restrictedIndividual~20,000 (in-home)Yes (adolescent cohort)Public-use free; full sample restricted
NSDUH - Nat. Survey on Drug Use & HealthKessler K6, MDE module
Sleep: MDE insomnia / hypersomnia items only
US, national + state (small-area est.)Individual~67,500 / yearYes, age 12+Free public-use files
NHANESPHQ-9
Sleep: SLQ items (2005+); wrist accelerometry 2011-14
US, national only in public fileIndividual~5,000 / yearYes (12-17 restricted)Free (18+); 12-17 file restricted
NCS-R / NCS-ACIDI diagnostic
Sleep: insomnia items; NCS-A adds bedtime & hours
US, nationalIndividual9,282 / 10,123Yes (NCS-A, 13-18)NCS-R free; NCS-A restricted
HRS - Health & Retirement StudyCES-D-8
Sleep: Jenkins insomnia items (2002+); time-use hours
US, nationalIndividual~20,000 / waveNo (50+)Free, registration
Healthy Minds StudyPHQ-9, GAD-7, flourishing
Sleep: duration items; ISI module (some waves)
US colleges; Census region only, individual colleges blindedIndividual (student)~935,000 (675+ colleges)Students only (college)Free, de-identified; short data-request form
Understanding Society (UKHLS)GHQ-12, SWEMWBS; youth SDQ
Sleep: PSQI-derived items (waves 1, 4, 7, 10, 13)
UK; region public, finer restrictedIndividual & household~40,000 households / ~100,000 individualsYes (youth panel 10-15)Free, registration (UK Data Service)
ELSA - English Longitudinal Study of AgeingCES-D-8
Sleep: items in waves 4/6/8; wrist actigraphy (wave 10)
England; region-level publicIndividual~11,400 (Wave 1 core)No (50+)Free, registration
SHAREEURO-D
Sleep: trouble-sleeping & medication items; hours (waves 8-9)
28 European countries + Israel; country-levelIndividual~160,000 respondentsNo (50+)Free (scientific use), registration
UK BiobankPHQ-9, GAD-7, CIDI-SF
Sleep: duration, chronotype & insomnia items; actigraphy (~103,000)
UK; location restricted (1 km grid)Individual~500,000No (40-69)Application + fee + agreement

Cross-national and global

DatasetMH / sleep measuresGeographic coverageLevelTotal NYouth available?Access
WHO World Mental HealthCIDI diagnostic
Sleep: insomnia items (chronic-conditions section)
28+ countries; country-levelIndividual>200,000 interviewsNo (adults)Restricted (consortium agreement)
HBSC - Health Behaviour in School-aged ChildrenPsychosomatic scale, Cantril
Sleep: sleep-onset difficulties (all rounds); bedtimes (optional)
45+ countries; country/regionIndividual (student)~220,000+ / roundStudents only (ages 11/13/15)Aggregate public; microdata by request (embargo)
Global Burden of DiseaseModeled prevalence & burden (not survey items)
Sleep: none
204 countries + some subnationalCountry-year (aggregate)Aggregate (not respondents)Yes (age bands, incl. 10-19)Free, registration

Subjective wellbeing (life satisfaction and happiness, not clinical mental health)

DatasetMH / sleep measuresGeographic coverageLevelTotal NYouth available?Access
Gallup World PollCantril ladder, daily affect
Sleep: “well-rested yesterday” item only
160+ countries; country-levelIndividual~1,000 / country / yearYes, age 15+Paid microdata; some free aggregates
World Values SurveyLife satisfaction, happiness
Sleep: none
64 countries (Wave 7); country-levelIndividual~95,000 / waveNo (18+)Free, registration

Columns in the four tables above: MH / sleep measures = each dataset's mental-health instruments and any sleep data it collects (from the questionnaires / codebooks). Youth available? = whether adolescents / young adults are covered (by age in a filterable general sample, by student status, or as a youth-only sample).

Key mental-health economics papers (with public replication data)

PaperYearJournalPopulationInterventionReplicationMental-health variables
Haushofer & Shapiro2016QJEPoor households, KenyaRCT: unconditional cash transfersHarvard DataversePsychological-wellbeing index: CES-D, Cohen stress, WVS happiness & life satisfaction, salivary cortisol
Baranov, Bhalotra, Biroli & Maselko2020AERPerinatal mothers, rural PakistanRCT: perinatal CBT (Thinking Healthy)openICPSRSCID (major-depression diagnosis), Hamilton scale, disability, GAF, social support
Bessone, Rao, Schilbach, Schofield & Toma2021QJELow-income adults, Chennai (India)RCT: night-sleep devices / incentives; workplace napsHarvard DataversePsychological-wellbeing index: depression, stress, happiness, life satisfaction, Cantril ladder
Banerjee, Duflo, McKelway, Schilbach et al.2023Ann. Intern. Med.Elderly living alone, Tamil Nadu (India)RCT: phone-based CBT; one-time cash transferHarvard DataverseGeriatric Depression Scale, WHODAS, single-item loneliness
Angelucci & Bennett2024AERAdults with depression, Karnataka (India)RCT: antidepressant pharmacotherapy; livelihood supportopenICPSRPHQ-9 (screening + severity)

Detecting depression from speech / audio - public corpora, mostly from the speech-ML and clinical communities (I found no economics study that has released audio-based depression data):

  • DAIC-WOZ / E-DAIC (USC). Field-standard English corpus: clinical interviews, audio + transcripts, PHQ-8 labels (the AVEC benchmark). Free but restricted (signed application, institutional email).
  • Androids Corpus. Italian speech (reading + interview), clinician diagnoses; open direct download (academic terms).
  • EATD-Corpus. Chinese speech + text with SDS depression labels; open download.
  • MODMA (Lanzhou). Audio (+ EEG), clinical MDD diagnosis; free but account + agreement.
Sleep data

Sleep measured objectively (actigraphy, wearables, polysomnography) alongside self-report, plus the economics field experiments that have collected it. For sleep items inside the large mental-health panels (IFLS, MxFLS, Add Health, HRS, Understanding Society, and others), see the survey tables in the mental health section above.

Sleep in economics field experiments - objective wearable/actigraphy sleep alongside self-report and economic outcomes:

StudyYearPopulationSleep measureData
Bessone, Rao, Schilbach, Schofield & Toma, QJE2021Low-income adults, Chennai (India)Actigraphy + self-reportHarvard Dataverse (public)
Giuntella, Saccardo & Sadoff, JPE (forthcoming)2025~1,150 US university studentsFitbit + self-reportNBER w32550; replication not yet public
Avery, Giuntella & Jiao, REStat2025US college studentsWearable + self-reportpaper; no public package located

Objective sleep-data repositories (polysomnography and actigraphy):

SourceSleep measureCoverageAccess
NSRR - National Sleep Research Resource (NHLBI)PSG + actigraphy + questionnaires13+ cohorts, 26,000+ people (SHHS, MESA, MrOS, CHAT, …)Free, per-dataset data-use agreement
UK Biobank accelerometer sub-studyWrist actigraphy (7-day); derived sleep duration/efficiency/timing~104,000 participantsApproved application + fee
NHANES accelerometry (2011-2014)Wrist accelerometry (minute-level)US, nationally representativeFully public, no application
PhysioNet (Sleep-EDF, MMASH, Apple-Watch+PSG)PSG and/or consumer wearable with PSG labelsSmall validation cohortsMostly open access

Research Tools

These are original tools and guides, built by me and by students in my lab.

The world's open borders

An interactive map of 19 free-movement and visa-free work regimes involving lower- and middle-income countries.

A US choropleth map made with Stata's spmap

Stata tools and guides

Useful Stata tools with self-help guides, including making maps (SPMAP / GRMAP) and sample do-files.

A historical map being digitized

Digitizing historical maps with QGIS and Python

A step-by-step guide to georeferencing and digitizing historical maps (co-authored with a lab student).