# **VI.A.3 Re-weighted Estimates**

_Table 9_ shows the results from re-weighting the observations in the sample in order to replicate the results that would have been obtained without attrition. Given that attrition occurred in different forms, we produce three different comparisons. The method employed for the reweighting is the inverse probability weighting (DiNardo et al., 1996). As a first step, a logit model of attrition with respect to a group of variables is estimated. All the observations are employed at this stage since baseline explanatory variables from the 1997 ENCASEH are used to predict attrition. Based on the results of this logit, a weighting factor is calculated to be used with the analysis sample from the previous estimations.

Table 9: Re-weighted estimates of long-term effects on durable good’s accumulation.

||(1)<br>Transport|(2)<br>Entert eq|(3)<br>Kitchen sup|(4)<br>Basic serv|(5)<br>IT items|(6)<br>IT serv|(7)<br>ln(impcons)|
|---|---|---|---|---|---|---|---|
|**_Panel A: Original Ho_**|**_useholds_**|||||||
|_1. Analysis Sample_||||||||
|Treatment|-0.020|0.028|-0.029|-0.002|-0.011|0.026|-0.002|
||(0.022)|(0.042)|(0.047)|(0.046)|(0.027)|(0.036)|(0.010)|
|Observations|4,494|4,494|4,494|4,494|4,494|4,494|4,169|
|_2. Original Distributi_|_on_|||||||
|Treatment|-0.016|-0.002|-0.025|-0.004|-0.011|0.029|-0.005|
||(0.021)|(0.043)|(0.047)|(0.049)|(0.028)|(0.033)|(0.010)|
|Observations|4,471|4,471|4,471|4,471|4,471|4,471|4,150|
|_3. Localities 2017 dis_|_tribution_|||||||
|Treatment|-0.016|-0.001|-0.027|-0.004|-0.014|0.033|-0.005|
||(0.021)|(0.043)|(0.047)|(0.048)|(0.028)|(0.033)|(0.010)|
|Observations|4,471|4,471|4,471|4,471|4,471|4,471|4,150|
|Mean T 2017|0.247|1.473|1.928|2.532|0.656|0.426|9.052|
|Mean C 2017|0.241|1.435|1.891|2.497|0.662|0.386|9.041|
|**_Panel B: New House_**|**_holds_**|||||||
|_1. Analysis Sample_||||||||
|Treatment|0.001|0.096**|0.173***|0.066|0.045|0.060*|0.042***|
||(0.024)|(0.045)|(0.060)|(0.041)|(0.034)|(0.035)|(0.013)|
|Observations|2,265|2,265|2,265|2,265|2,265|2,265|2,149|
|_2. Localities 2017 dis_|_tribution_|||||||
|Treatment|-0.005|0.076|0.144**|0.052|0.041|0.054|0.040***|
||(0.026)|(0.049)|(0.065)|(0.043)|(0.036)|(0.037)|(0.013)|
|Observations|1,912|1,912|1,912|1,912|1,912|1,912|1,822|
|Mean T 2017|0.208|1.450|1.992|2.605|0.840|0.428|9.241|
|Mean C 2017|0.200|1.354|1.793|2.522|0.793|0.361|9.203|

This table shows the long-term effects of the program on a set of variables that result from aggregating groups of durable assets and household characteristics. The reweighting strategy employed is the inverse probability weight (DiNardo et al., 1996). In Panel A observations are restricted to households included in 1997 ENCASEH (original households), while in Panel B observations are restricted to newly formed households in 2017 (new households) that were identified by searching for members no longer present in their original 1997 households. The reweighting strategy seeks to reproduce the original sample distribution. Two different target distributions are set following the attrition analysis done in _Table 3_ . _Original Distribution_ means the 1997 sample, which corresponds to the original households in the 506 localities. The purpose is to make our results comparable to the vast literature that focuses on this group. _Localities 2017 distribution_ is based on the 334 localities chosen for the sample and assumes that all the original 1997 households in those localities would have been found. The outcomes employed are: (1) _Transportation_ , which adds the number of cars and vans; (2) _Entertainment equipment_ , which gathers under entertainment equipment number of TV, radio and sound equipment; (3) _Kitchen supplies_ , which sums the following appliances: blender, refrigerator, electric grill, gas stove or microwave oven; (4) _Basic services_ , which consists of the availability of the following services: firm floor, electricity, drainage and water access in the property; (5) _IT items_ , which refer to the number of computers and cellphones; and (6) _IT services_ , which sums the home phone, internet and pay-TV; (7) _ln(imp cons)_ , is the imputed measure of non-durable expenditure on food personal products, and clothing. Data employed comes from 1997 ENCASEH and 2017-18 ENCEL. The table shows the results from an ANCOVA estimate, which controls for the pre-existing level of the dependent variable (denoted as Y(97)). Controls include (from ENCASEH 1997): HH head age, education, speaking a dialect, HH size, % members under 15, dummies for home, productive land and draft animals ownership, and locality marginalization index. Standard errors clustered at the locality level. Asterisks indicate significance at the ***1%, **5%, and *10% level.

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