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electricsheepasia/asia-owid-cross-country-variation-in-negative-reciprocity

Cross Country Variation In Negative Reciprocity | Asia (Our World in Data) 🌏 22 observations · 22 Asia countries · 2012–2012 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 22 observations of Cross Country Variation In Negative Reciprocity data across 22 Asia countries, spanning 2012–2012. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Cross Country Variation In Negative… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-cross-country-variation-in-negative-reciprocity.

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Dataset Card

Cross Country Variation In Negative Reciprocity | Asia (Our World in Data)

🌏 22 observations · 22 Asia countries · 2012–2012 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 22 observations of Cross Country Variation In Negative Reciprocity data across 22 Asia countries, spanning 2012–2012.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Cross Country Variation In Negative Reciprocity

Geographic coverage

22 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
AFG120122012
ARE120122012
BGD120122012
CHN120122012
GEO120122012
IDN120122012
IND120122012
IRN120122012
IRQ120122012
ISR120122012
JOR120122012
JPN120122012
KAZ120122012
KHM120122012
KOR120122012
...7 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2012
Negative reciprocity (Falk et al. (2018) GPS)float64—0.25471246

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-cross-country-variation-in-negative-reciprocity")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Negative reciprocity (Falk et al. (2018) GPS)")

Citation

bibtex
@misc{asia_owid_cross_country_variation_in_negative_reciprocity_2012,
  title        = {Cross Country Variation In Negative Reciprocity | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2012},
  url          = {https://ourworldindata.org/grapher/cross-country-variation-in-negative-reciprocity},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-cross-country-variation-in-negative-reciprocity}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepasia


Provenance: ingested 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/cross-country-variation-in-negative-reciprocity