More on the apparently *transient* effects of unconditional cash transfers

Berk Ozler over at Development Impact has a follow up post on GiveDirectly’s three-year impacts. The post looks at multiple papers analyzing results from the same cash transfer RCT in southwestern Kenya:

First, on the initial studies:

On October, 31, 2015, after the release of the HS (16) working paper in 2013, but before the eventual journal publication of HS (16), Haushofer, Reisinger, and Shapiro released a working paper titled “Your Gain is My Pain.”  In it, they find large negative spillovers on life satisfaction (a component of the psychological wellbeing index reported in HS 16) and smaller, but statistically significant negative spillovers on assets and consumption. The negative spillover effects on life satisfaction, at -0.33 SD and larger than the average benefit on beneficiaries, imply a net decrease in life satisfaction in treated villages. Furthermore, the treatment (ITT) effects are consistent with HS (16), but the spillover effects are not. For example, the spillover effect on the psychological wellbeing index in Table III of HS (16) is approximately +0.1, while Table 1 in HRS (15) implies an average spillover effect of about -0.175 (my calculations: -0.05 * (354/100)). There appear to be similar discrepancies on the spillovers implied for assets and consumption in the HRS (15) paper and HS (16). I am not sure what to make of this, as HRS (15) is an unpublished paper – there must [be] a good explanation that I am missing. Regardless, however, these findings of negative spillovers foreshadow the three-year findings in HS (18), which I discuss next.

Then on the three-year findings:

As I discussed earlier this week, HS (18) find that if they define ITT=T-S, virtually all the effects they found at the 9-month follow-up are still there. However, if ITT is defined in the more standard manner of being across villages, i.e. ITT=T-C, then, there is only an effect on assets and nothing else.

… As you can see, things have now changed: there are spillover effects, so the condition for ITT=T-S being unbiased no longer holds. This is not a condition that you establish once in an earlier follow-up and stick with: it has to hold at every follow-up. Otherwise, you need to use the unbiased estimator defined across villages, ITT=T-C.

To nitpick with the authors here, I don’t buy that [….] lower power is responsible for the finding of no significant treatment effects across villages. Sure, as in HS (16), the standard errors are somewhat larger for across-village estimates than the same within-village estimates. But, the big difference between the short- and the longer-term impacts is the gap between the respective point estimates in HS (18), while they were very stable (due to no/small spillovers) in HS (16). Compare Table 5 in HS (18) with Appendix Table 38 and you will see. The treatment effects disappeared, mainly because the differences between T and C are much smaller now, and even negative, than they were at the nine-month follow-up.

And then this:

If we’re trying to say something about treatment effects, which is what the GiveDirectly blog seems to be trying to do, we already have the estimates we want – unbiased and with decent power: ITT=T-C. HS (18) already established a proper counterfactual in C, so just use that. Doesn’t matter if there are spillovers or not: there are no treatment effects to see here, other than the sole one on assets. Spillover estimation is just playing defense here – a smoke screen for the reader who doesn’t have the time to assess the veracity of the claims about sustained effects.

Chris has a twitter thread on the same questions.

Bottom line: we need more research on UCTs, which GiveDirectly is already doing with a (hopefully) better-implemented really long-term study.

 

 

Are researchers scared of bursting the unconditional cash transfers bubble?

This is from Berk Ozler over at Development Impact (which you should all be reading religiously, btw):

……. An increasing number of studies show short-term effects of cash transfers dissipating over time, at varying speeds of decay. But, more on that below… What did surprise me is that I had to read the transcript of the interview to find out about this new finding (no working paper yet, it seems, but here is an abstract). No one was tweeting about the massive four-year effects disappearing: remember that women almost doubled their income compared to the control group five years earlier. It’s not news that these effects are gone?

We are all guilty. If the quote had been about the durability of the effects of cash transfers – even at half of the short- and medium-term levels – many of my tweeps would be shouting it from the rooftops. Why? Because, we disseminate evidence that reinforces our view of the world, but choose to ignore or rationalize away stuff that does not. That may help to keep oneself sane these days, but a good public academic it does not make. Most of us think we’re better than that but we are fooling ourselves. Yes, many of you will politely retweet one of my posts about this or that hype about cash transfers, but deep down you know what you think: unconditional cash transfers are great and there is not a thing any researcher can do about it…

Even in the most favorable interpretation of these new findings, however, the fact remains that there is no treatment effect of cash transfers on beneficiary households other than a sizeable increase in non-land assets, which are held mostly in improved roofs and livestock. This new paper and Blattman’s (forthcoming) work mentioned above join a growing list of papers finding short-term impacts of unconditional cash transfers that fade away over time: Hicks et al. (2017), Brudevold et al. (2017), Baird et al. (2018, supplemental online materials). In fact, the final slide in Hicks et al. states: “Cash effects dissipate quickly, similar to Brudevold et al. (2017), but different to Blattman et al. (2014).” If only they were presenting a couple of months later…

Cash transfers do have a lot of beneficial effects – depending on the target group, accompanying interventions, and various design parameters, but that discussion is for my next post…

Quick thoughts:

  1. Give Directly and the research agenda around their interventions have been great for showing the many ways in which targeted welfare provision can be structured to increase levels of household consumption and investment. I am curious to see the economic impact of their UBI project being rolled out in Kenya. Also, I don’t think that they would deliberately under-publicize unfavorable research findings — see here. Looking forward to the full range of research findings from their previous interventions.
  2. In addition to increasing household consumption (direct cash), we should also be thinking about ways to improve the provision of public goods and services — perhaps by doing the two together.

The other implication here (attributable to Justin Sandefur) is that may be cash transfers would work if they were part of a permanent welfare system.

But are the Malawis of this world (fiscally and politically) really ready for this? Should Malawian policymakers instead be spending their precious time worrying about agricultural productivity and getting their jobless youth into factory work?

All to say that more research is needed on cash transfers, especially with a focus on the political economy implications of such policy proposals and in conjunction with some public goods component.

Does female empowerment promote economic development?

The conventional interpretation of the observed gender expenditure patterns re- lies on women and men having different preferences.4 And indeed, if all women highly valued children’s human capital whereas all men just wanted to consume, putting women in charge of allocating resources would probably be a good idea. However, we show that the facts can also be explained without assuming that women and men have different preferences. We develop a model in which women and men value private and public goods (such as children’s human capital) in the same way, but that nevertheless is consistent with the empirical observation that an increase in female resources leads to more spending on children.

Our theory does not lead to clear-cut implications for economic development. In particular, we find that empowering women is likely to accelerate growth in advanced economies that rely mostly on human capital, but may actually hurt growth in economies where physical capital accumulation is the main engine of growth.

…… Given that the human capital share tends to in- crease in the course of development, our results imply that mandated transfers to women may be beneficial in advanced, human capital-intensive countries, but are unlikely to promote growth in less developed economies.

That is Doepke and Tertilt in an NBER working paper (HT Marc F. B.)

This paper reminded me of of the BIG vs Small Development dichotomy, and why we should not take cash transfers (despite recent glowing reviews) to be a panacea to poverty and underdevelopment. Cash transfers (whether targeting poor men or women) should be seen as short-term relief whose development impact are, at the very best, highly contingent and long-term (especially if the transfers are used to increase the quality of human capital through schooling for kids). I could be totally wrong, but I think that the promise for real and lasting rapid development lies in creation of mass employment. And on this front the shoots are beginning to show on the Continent.

I wish more development economists were thinking of ways of growing African SMEs into mass employers, even if it meant flirting with the idea of Industrial Policy.