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Abstract

Inequality occurs in the process of economic development along with differences in the natural resources and infrastructure owned by each region. Income inequality reduction programs require accurate data collection and have to reach the smallest areas. This study discusses the application of the Elbers, Lanjouw, and Lanjouw (ELL) and Counterfactual methods to obtain estimates of income inequality indicators at the sub-district and village levels in the Kota Yogyakarta and map them in the form of a poverty map. The data used are Population Census 2010, SUSENAS (2010 and 2018), PODES (2011 and 2018), as well as other BPS publications. The results showed that the estimator of income inequality using the ELL method has a smaller RSE value than the direct estimation results. Poverty Map presents a snap-shot of the distribution of the level of inequality in a relatively heterogeneous small area.

Bahasa Abstract

Ketimpangan terjadi dalam proses pembangunan ekonomi seiring dengan adanya perbedaan sumber daya alam dan infrastruktur yang dimiliki oleh masing-masing daerah. Program penanggulangan ketimpangan pendapatan memerlukan pendataan yang akurat dan menjangkau sampai wilayah terkecil. Penelitian ini membahas penerapan metode Elbers, Lanjouw, dan Lanjouw (ELL) dan Counterfactual untuk mendapatkan estimasi indikator ketimpangan pendapatan pada level kecamatan maupun desa/kelurahan di Kota Yogyakarta serta memetakannya dalam bentuk poverty map. Data yang digunakan adalah Sensus Penduduk (SP2010), SUSENAS (2010 dan 2018), PODES (2011 dan 2018), serta publikasi BPS lainnya. Hasil penelitian menunjukkan bahwa penduga ukuran ketimpangan pendapatan dengan metode ELL memiliki nilai RSE yang lebih kecil dibandingkan dengan hasil pendugaan langsung. Poverty Map menampilkan snap-shot distribusi tingkat ketimpangan pada area kecil yang relatif heterogen.

References

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