Ecdat

0.4.7

Data Sets for Econometrics

16packages depend

135.9Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Spencer GravesFirst published 2005-03-0125 releasesCRAN page ↗GitHub ↗

Data sets for econometrics, including political science.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("Ecdat", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("sbgraves237/Ecdat")

Development version from sbgraves237/Ecdat. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-ecdat

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-Ecdat

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-Ecdat

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.8 min · r-devel-linux-x86_64-fedora-clang

Code health

None

Tests

not tracked

Coverage

Dependencies · direct

Check history

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 64 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 94%

Downloads

135.9K

CRAN downloads in the past year

Rank #1,139 · ~372/day · ~11.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

7.5K30 days

35.1K90 days

135.9K1 year

Compare downloads with other packages →

Also on316 r2u32 autocran104 c2d4u

Repository

GitHub ↗ sbgraves237/ecdat

2Stars

1Forks

0Open issues

1Open PRs

0Releases

1,101Commits

6Contributors

1,101 commits · Last activity 2025-11-25

Stars over time

2024-09-25 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/sbgraves237/ecdat on 2026-07-19.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (0)

none

LinkingTo (0)

none

Suggests (5)

Ecfun plm systemfit carData wooldridge

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

16direct

2indirect

DWreg gk DCchoice Ecfun HRW SeleMix catdata discSurv flexmix funtimes gamselBayes micEcon micEconIndex miscTools sampleSelection vcrpart

Code & Tests

Code Composition

Rd 9,922 (100%)

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

–

Complexity

–

Call network

–

Call graph

Open call graph →

Loading call graph…

Call graph

Function structure has not been extracted for this package yet.

Datasets

Bundled datasets · 110

Name	Class	Rows × Cols	Also ships in
ACLEDpopGDP	data.frame	234 × 19	–
Accident	data.frame	40 × 5	–
AccountantsAuditorsPct	vector	–	–
Airline	data.frame	90 × 6	–
Airq	data.frame	30 × 6	–
Benefits	data.frame	4,877 × 18	–
Bids	data.frame	126 × 12	in 2 packages
BudgetFood	data.frame	23,972 × 6	in 2 packages
BudgetItaly	data.frame	1,729 × 11	in 2 packages
BudgetUK	data.frame	1,519 × 10	in 2 packages
Bwages	data.frame	1,472 × 4	–
CPSch3	data.frame	11,130 × 3	–
CRANpackages	data.frame	29 × 4	–
Capm	data.frame	516 × 5	–
Car	data.frame	4,654 × 70	in 3 packages
Caschool	data.frame	420 × 17	–
Catsup	data.frame	2,798 × 14	in 3 packages
Cigar	data.frame	1,380 × 9	in 5 packages
Cigarette	data.frame	528 × 9	–
Clothing	data.frame	400 × 13	–
Computers	data.frame	6,259 × 10	in 2 packages
Cracker	data.frame	3,292 × 14	in 3 packages
Crime	data.frame	630 × 24	in 2 packages
DM	data.frame	778 × 4	–
Diamond	data.frame	308 × 5	–
Doctor	data.frame	485 × 4	–
DoctorAUS	data.frame	5,190 × 15	–
DoctorContacts	data.frame	20,186 × 15	–
Earnings	data.frame	4,266 × 2	–
Electricity	data.frame	158 × 8	–
Fair	data.frame	601 × 9	–
Fatality	data.frame	336 × 10	in 2 packages
Fishing	data.frame	1,182 × 12	–
Forward	data.frame	276 × 9	–
FriendFoe	data.frame	227 × 13	–
Garch	data.frame	1,867 × 8	–
Gasoline	data.frame	342 × 6	in 3 packages
Griliches	data.frame	758 × 20	–
Grunfeld	data.frame	200 × 5	in 2 packages
HC	data.frame	250 × 18	in 3 packages
HHSCyberSecurityBreaches	data.frame	1,151 × 9	in 2 packages
HI	data.frame	22,272 × 13	in 2 packages
Hdma	data.frame	2,381 × 13	–
Heating	data.frame	900 × 21	in 2 packages
Hedonic	data.frame	506 × 15	in 2 packages
Hmda	data.frame	2,381 × 13	–
Housing	data.frame	546 × 12	–
Icecream	data.frame	30 × 4	–
Journals	data.frame	180 × 10	–
Kakadu	data.frame	1,827 × 22	in 2 packages
Ketchup	data.frame	4,956 × 7	in 2 packages
LaborSupply	data.frame	5,320 × 7	in 2 packages
Labour	data.frame	569 × 4	–
MCAS	data.frame	220 × 17	–
Males	data.frame	4,360 × 12	–
Mathlevel	data.frame	609 × 8	in 2 packages
MedExp	data.frame	5,574 × 15	–
Metal	data.frame	27 × 3	–
Mode	data.frame	453 × 9	in 2 packages
ModeChoice	data.frame	840 × 7	–
Mofa	data.frame	50 × 5	–
Mroz	data.frame	753 × 18	–
MunExp	data.frame	2,385 × 5	–
NaturalPark	data.frame	312 × 7	–
Nerlove	data.frame	159 × 8	–
OFP	data.frame	4,406 × 19	–
Oil	data.frame	53 × 11	in 2 packages
PSID	data.frame	4,856 × 8	–
Participation	data.frame	872 × 7	in 2 packages
PatentsHGH	data.frame	1,730 × 18	–
PatentsRD	data.frame	1,629 × 7	in 2 packages
Pound	data.frame	778 × 4	–
Produc	data.frame	816 × 10	in 3 packages
RetSchool	data.frame	5,225 × 17	–
SP500	data.frame	2,783 × 1	–
Schooling	data.frame	3,010 × 28	–
Somerville	data.frame	659 × 8	in 2 packages
Star	data.frame	5,748 × 8	–
Strike	data.frame	62 × 2	–
StrikeDur	data.frame	566 × 2	–
StrikeNb	data.frame	108 × 3	–
SumHes	data.frame	3,250 × 7	in 2 packages
Tobacco	data.frame	2,724 × 9	–
Train	data.frame	2,929 × 11	in 2 packages
TranspEq	data.frame	25 × 5	–
Treatment	data.frame	2,675 × 10	–
Tuna	data.frame	13,705 × 8	in 2 packages
USFinanceIndustry	data.frame	84 × 7	–
USclassifiedDocuments	data.frame	29 × 5	–
USincarcerations	data.frame	99 × 7	–
USnewspapers	data.frame	65 × 15	–
USstateAbbreviations	data.frame	76 × 10	–
UStaxWords	data.frame	7 × 10	–
UnempDur	data.frame	3,343 × 11	–
Unemployment	data.frame	452 × 12	in 2 packages
University	data.frame	62 × 17	in 2 packages
VietNamH	data.frame	5,999 × 11	–
VietNamI	data.frame	27,765 × 12	–
Wages	data.frame	4,165 × 12	in 2 packages
Wages1	data.frame	3,294 × 4	–
Workinghours	data.frame	3,382 × 12	in 2 packages
Yen	data.frame	778 × 4	in 2 packages
Yogurt	data.frame	2,412 × 10	in 2 packages
bankingCrises	data.frame	211 × 71	–
breaches	data.frame	1,055 × 13	–
coolingFromNuclearWar	data.frame	4 × 5	–
incomeInequality	data.frame	66 × 22	–
nuclearWeaponStates	data.frame	9 × 17	–
politicalKnowledge	data.frame	4 × 12	–
terrorism	data.frame	51 × 25	–

People & History

People (2)

Maintainer (1)

Spencer Graves

Author, Maintainer, Contributor · added in 0.3-3

Authors (2)

Spencer Graves

Author, Maintainer, Contributor · added in 0.3-3

Yves Croissant

Author

Contributors (1)

Spencer Graves

Author, Maintainer, Contributor · added in 0.3-3

Package Timeline

25 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.4.7Latest
2025-09-04 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.4-2
2022-10-16 · diff ↗
0.4-1
2022-07-05 · diff ↗
0.4-0
2022-06-16 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.3-9
2020-11-03 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.3-7
2020-02-10 · diff ↗
0.3-4
2019-11-05 · diff ↗
0.3-3
2019-09-29 · diff ↗
R
R 3.6.0 released · 2019-04-26

Show 39 earlier events

R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
0.3-1
2016-12-16 · diff ↗
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R 3.3.0 released · 2016-05-03
0.2-9
2015-08-07 · diff ↗
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R 3.2.0 released · 2015-04-16
0.2-7
2014-09-04 · diff ↗
0.2-6
2014-06-27 · diff ↗
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R 3.1.0 released · 2014-04-10
0.2-5
2014-04-08 · diff ↗
0.2-4
2014-01-11 · diff ↗
0.2-3
2013-10-04 · diff ↗
R
R 3.0.0 released · 2013-04-03
0.2-2
2013-03-16 · diff ↗
0.2-1
2013-02-15 · diff ↗
0.2-0
2013-01-21 · diff ↗
0.1-6.1
2012-10-29 · diff ↗
R
R 2.15.0 released · 2012-03-30
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R 2.14.0 released · 2011-10-31
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R 2.13.0 released · 2011-04-13
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R 2.12.0 released · 2010-10-15
R
R 2.11.0 released · 2010-04-22
0.1-6
2010-04-15 · diff ↗
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R 2.10.0 released · 2009-10-26
R
R 2.9.0 released · 2009-04-17
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R 2.8.0 released · 2008-10-20
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R 2.7.0 released · 2008-04-22
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R 2.6.0 released · 2007-10-03
R
R 2.5.0 released · 2007-04-24
0.1-5
2006-10-11 · diff ↗
R
R 2.4.0 released · 2006-10-03
R
R 2.3.0 released · 2006-04-24
0.1-4
2005-10-12 · diff ↗
R
R 2.2.0 released · 2005-10-06
0.1-3
2005-04-20 · diff ↗
R
R 2.1.0 released · 2005-04-18
0.1-2
2005-03-18 · diff ↗
0.1-1
2005-03-01
R
R 2.0.0 released · 2004-10-04

Package metadata

First published: 2005-03-01
Total releases: 25 / 21 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 2.6 MB / 139 files
Download size: 2.8 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Econometrics Time Series Analysis

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