Raskin identification cards data pack (Chapter 3) Public Economics for Developing Countries, Chapter 3, Evidence Spotlight "A card for a rice subsidy that leaked". SOURCE. One CSV file, values unchanged, cut from the replication package of Banerjee, Abhijit, Rema Hanna, Jordan Kyle, Benjamin A. Olken, and Sudarno Sumarto. 2018. "Tangible Information and Citizen Empowerment: Identification Cards and Food Subsidy Programs in Indonesia." Journal of Political Economy 126(2): 451-491. doi:10.1086/696226. File used: combined_pooled.dta in the authors' package (linked from Benjamin Olken's MIT web page). Cite the article, not this pack. ROWS. 9,312 rows: one for each household in each of the two surveys used for the paper's Table 3 (about 2 and 8 months after the cards were mailed), the analysis sample only. Eligible households in bottom-decile villages who were not mailed a card are excluded, as in the paper. COLUMNS hhid_pooled household identifier hhea village identifier (572 villages; cluster by this) kec_id subdistrict identifier kab_id district identifier wave survey: 1 = about 2 months after the cards, 2 = about 8 months t2treatment arm of an earlier targeting experiment (strata = t2treatment x kec_id) eligible 1 = on the official eligibility list, 0 = not on it treatment 1 = card village (any card arm), 0 = control village CTL 1 = control village B10 1 = cards mailed only to the bottom 10 percent of households PRC 1 = card also printed the copay price ENH 1 = public information arm (list of eligible households made public) samplea, sampleb, samplec, sample1cs1, sample2cs1, sample3cs1 sample indicators used as controls in the paper's regressions t2trm1, t2trm2, t2trm3 earlier-experiment arm dummies (absorbed by the strata) weight_fs_CvC survey weight used in the paper's Table 3 bought_last2m 1 = bought Raskin rice in the period asked about amtraskin Raskin rice bought per month (kg) price_hh price paid for Raskin rice (rupiah per kg) subsidy_rcvd subsidy received per month (rupiah): (market price - price paid) x kg, averaged over the months asked about; 0 if nothing was bought CHECK VALUES (the chapter's Rebuild-it steps; run in Python and R) Step 0 9,312 rows; eligible 5,693, ineligible 3,619; 572 villages, 378 card villages Step 1 eligible, weighted by weight_fs_CvC, one row with no subsidy dropped: control 28,604.6, card 35,845.5, gap 7,240.9 rupiah (25.3%) Step 2 ineligible: control 18,753.9, card 19,265.4, gap 511.5 Paper's regression (optional): subsidy_rcvd on treatment, stratum fixed effects (t2treatment x kec_id), the sample indicators, weights, clustered by hhea: eligible 7,455.1 (SE 1,327.9); ineligible 525.8 (1,034.6)