Randomization Bias in Field Trials to Evaluate Targeting Methods

This paper studies the evaluation of methods for targeting the allocation of limited resources to a high-risk subpopulation. We consider a randomized controlled trial to measure the difference in efficiency between two targeting methods and show that it is biased. An alternative, survey-based design is shown to be unbiased. Both designs are simulated for the evaluation of a policy to target lead hazard investigations using a predictive model. Based on our findings, we advised the Chicago Department of Public Health to use the survey design for their field trial. Our work anticipates further developments in economics that will be important as predictive modeling becomes an increasingly common policy tool

Targeting the poor in Mexico

This report reevaluates PROGRESA's targeting methods since the program began adding beneficiary households through a process called “densification.” The authors first evaluate PROGRESA's accuracy in targeting both at the community and household levels. Second, they evaluate the targeting in terms of its impact on poverty alleviation relative to other feasible methods assuming the same total budget.Education ,Mexico ,

Targeting outcomes redux

"...There are sharply divergent views as to how much narrowly targeted interventions actually benefit the poor. These result from differing assessments of three issues: whether better targeting outcomes are likely to be achieved, whether such methods are cost-effective, and whether the living standards of the poor are improved by such targeted interventions. This paper focuses on the first issue. Using a newly constructed database of targeted interventions, it addresses three questions: (1) What targeting outcomes are observed? (2) Are there systematic differences in targeting performance by targeting methods and other factors? (3) What are the implications for such systematic differences for the design and implementation of targeted interventions?" from Authors' Abstract.Developing countries ,Poverty ,

Program participation under means-testing and self-selection targeting methods

"Using data that enables us to distinguish between the different components of program participation (i.e., knowledge, application, and acceptance), we investigate the determinants of household behavior and program implementation in a social safety-net program that combines administrative and self-selection targeting methods. High undercoverage of eligible households primarily reflects lack of knowledge and binding budget constraints in poor areas. High leakage to ineligible households reflects the combination of their high levels of knowledge, application, and acceptance. Lowering undercoverage will require greater program awareness among the poor living in nonpoor areas and this is likely to come at the expense of substantial leakage to the nonpoor unless improvements are made to the verification process. Our results also suggest that in the presence of a budget constraint, the administrative selection process gives priority to the poorest households and those with children." Authors' AbstractMeans testing ,Targeting performance ,Social safety nets ,Oportunidades ,households ,

Pharmacokinetic models for propofol-defining and illuminating the devil in the detail

The recently introduced open-target-controlled infusion (TCI) systems can be programmed with any pharmacokinetic model, and allow either plasma- or effect-site targeting. With effect-site targeting the goal is to achieve a user-defined target effect-site concentration as rapidly as possible, by manipulating the plasma concentration around the target. Currently systems are pre-programmed with the Marsh and Schnider pharmacokinetic models for propofol. The former is an adapted version of the Gepts model, in which the rate constants are fixed, whereas compartment volumes and clearances are weight proportional. The Schnider model was developed during combined pharmacokinetic-pharmacodynamic modelling studies. It has fixed values for V1, V3, k(13), and k(31), adjusts V2, k(12), and k(21) for age, and adjusts k(10) according to total weight, lean body mass (LBM), and height. In plasma targeting mode, the small, fixed V1 results in very small initial doses on starting the system or on increasing the target concentration in comparison with the Marsh model. The Schnider model should thus always be used in effect-site targeting mode, in which larger initial doses are administered, albeit still smaller than for the Marsh model. Users of the Schnider model should be aware that in the morbidly obese the LBM equation can generate paradoxical values resulting in excessive increases in maintenance infusion rates. Finally, the two currently available open TCI systems implement different methods of effect-site targeting for the Schnider model, and in a small subset of patients the induction doses generated by the two methods can differ significantly

Digital Food Marketing to Children and Adolescents: Problematic Practices and Policy Interventions

Examines trends in digital marketing to youth that uses "immersive" techniques, social media, behavioral profiling, location targeting and mobile marketing, and neuroscience methods. Recommends principles for regulating inappropriate advertising to youth

Inflation Targeting as a Stabilisation Tool: Its Design and Performance in the Czech Republic

The article focuses on the development and performance of the Inflation Targeting regime in the Czech Republic. It is shown that the regime design evolved throughout time from a rather specific setting towards a framework based on international best practices. The performance of IT is evaluated using three different methods. The results suggest that even though the inflation targets have been missed more often than met, the Inflation Targeting framework significantly contributed to the stabilisation of the Czech economy.Inflation Targeting Measuring performance of monetary policy

INSTRUMENT CHOICE AND BUDGET-CONSTRAINED TARGETING

We analyze how choosing to use a particular type of instrument for agri-environmental payments, when these payments are constrained by the regulatory authority's budget, implies an underlying targeting criterion with respect to costs, benefits, participation, and income, and the tradeoffs among these targeting criteria. The results provide insight into current policy debates.Research Methods/ Statistical Methods,

Poverty targeting in public programs: A comparison of alternative nonparametric methods

Very poor households may be excluded from public programs intended for their benefit for a variety of reasons as lack information, a permanent residence or membershiip in social networks. We are interested in methods of testing for such exclusion based on independently drawn samples of program participants and non-participants. We discuss three alternative nonparametric procedures; sign tests, tests for stochastic dominance and a test for distribution crossing. In the cases where there is a poverty threshold below which program participation is difficult, our simulation results suggests that the last of these test procedures is the most powrful. we apply this test to data from a microfinance program in India and find evidence that the poorest households in the area were largely outside the program.