SOCIOECONOMIC STATUS MEASUREMENT WITH DISCRETE PROXY VARIABLES: IS PRINCIPAL COMPONENT ANALYSIS A RELIABLE ANSWER?

The last several years have seen a growth in the number of publications in economics that use principal component analysis (PCA) in the area of welfare studies. This paper explores the ways discrete data can be incorporated into PCA. The effects of discreteness of the observed variables on the PCA are reviewed. The statistical properties of the popular Filmer and Pritchett (2001 ) procedure are analyzed. The concepts of polychoric and polyserial correlations are introduced with appropriate references to the existing literature demonstrating their statistical properties. A large simulation study is carried out to compare various implementations of discrete data PCA. The simulation results show that the currently used method of running PCA on a set of dummy variables as proposed by Filmer and Pritchett (2001 ) can be improved upon by using procedures appropriate for discrete data, such as retaining the ordinal variables without breaking them into a set of dummy variables or using polychoric correlations. An empirical example using Bangladesh 2000 Demographic and Health Survey data helps in explaining the differences between procedures.     

Will elders provide for their grandchildren? Unconditional cash transfers and educational expenditures in Bolivia

We take advantage of repeated cross‐sectional household surveys and a sharp discontinuity created by the introduction of an unconditional cash transfer to elders in Bolivia, to evaluate its impact on educational expenditures on children within a household. We find positive and significant impacts of the program at the aggregate level. We also find that the program has stronger effects on indigenous populations as well as on female and rural populations. Our results are robust to a series of falsification tests, survey structure, model specification, and estimation methods.     

Tipping the scale? The workings of monetary policy through trade

The monetary policy entails demand‐augmenting and diverting effects, and its impact on the trade balance—and on other countries—depends on the magnitude of these opposing effects. Using U.S. data and a sign‐restricted structural vector autoregressive identification, we investigate the importance of these effects. Overall, the results indicate that a monetary loosening (tightening) leads to a strengthening (weakening) of the overall trade balance, indicating that demand diversion dominates. The paper also explores changes in the effects following the global financial crisis, reflecting the impaired monetary transmission mechanism.     

Minimum cost spanning tree problems with groups

We study minimum cost spanning tree problems with groups. We assume that agents are located in different villages, cities, etc. The groups are the agents of the same village. We introduce a rule for dividing the cost of connecting all agents to the source among the agents taking into account the group structure. We characterize this rule with several desirable properties. We prove that this rule coincides with the Owen value of the TU game associated with the irreducible matrix.