Person:
Lanjouw, Peter Frederik

Poverty and Inequality Team, Development Economics Research Group, World Bank
Loading...
Profile Picture
Author Name Variants
Fields of Specialization
Poverty and Inequality Analysis; Rural Development; Small Area Estimation; Village Studies
Degrees
ORCID
Departments
Poverty and Inequality Team, Development Economics Research Group, World Bank
Externally Hosted Work
Contact Information
Last updated: January 31, 2023
Biography
Peter Lanjouw, a Dutch national, is Research Manager of the Poverty and Inequality Team in the Development Economics Research Group of the World Bank. He is also an Honorary Fellow of the Amsterdam Institute of International Development, Netherlands. He completed his Ph.D. in economics from the London School of Economics in 1992. From August 2003 until August 2005, he was a visiting scholar at the Agriculture and Resource Economics department at UC Berkeley, and he held the appointment of Professor of Economics at the VU University of Amsterdam between September 1998 and May 2000. He has taught in the Masters in Development Economics program at the University of Namur, Belgium and has also taught at the Foundation for the Advanced Study of International Development in Tokyo, Japan. His research focuses on various aspects of poverty and inequality measurement as well as on rural development issues.  
Citations 52 Scopus

Publication Search Results

Now showing 1 - 4 of 4
  • Publication
    Reinterpreting Between-Group Inequality
    (2008) Elbers, Chris; Lanjouw, Peter; Mistiaen, Johan A.; Ozler, Berk
    We evaluate observed inequality between population groups against a benchmark of the maximum between-group inequality attainable given the number and relative sizes of those groups under examination. Because our measure is normalized by these parameters, drawing comparisons across different settings is less problematic than with conventional inequality decompositions. Moreover, our measure can decline with finer sub-partitioning of population groups. Consequently, the exact manner in which one groups the population acquires greater significance. Survey data from various countries suggest that our approach can provide a complementary perspective on the question of whether (and how much) a particular population breakdown is salient to an assessment of inequality in a country.
  • Publication
    Local Inequality and Project Choice: Theory and Evidence from Ecuador
    (2008) Araujo, M. Caridad; Ferreira, Francisco H.G.; Lanjouw, Peter; Ozler, Berk
    This paper provides evidence consistent with elite capture of Social Fund investment projects in Ecuador. Exploiting a unique combination of data sets on village-level income distributions, Social Fund project administration, and province-level electoral results, we test a simple model of project choice when local political power is unequally distributed. In accordance with the predictions of the model, poorer villages are more likely to receive projects that provide excludable (private) goods to the poor, such as latrines. Controlling for poverty, more unequal communities are less likely to receive such projects. Consistent with the hypothesis of elite capture, these results are sensitive to the specific measures of inequality and elite power used in the empirical analysis, and are strongest for expenditure shares at the top of the distribution.
  • Publication
    Revisiting Between-Group Inequality Measurement: An Application to the Dynamics of Caste Inequality in Two Indian Villages
    (2011) Lanjouw, Peter; Rao, Vijayendra
    Standard approaches to decomposing how much group differences contribute to inequality rarely show significant between-group inequality, and are of limited use in comparing populations with different numbers of groups. We apply an adaptation to the standard approach that remedies these problems to longitudinal household data from two Indian villages-Palanpur in the north and Sugao in the west. In Palanpur we find that the largest Scheduled Caste group failed to share in the gradual rise in village prosperity. This would not have emerged from standard decomposition analysis. However, in Sugao the alternative procedure does not yield any additional insights because income gains have applied relatively evenly across castes.
  • Publication
    How Good Is a Map? Putting Small Area Estimation to the Test
    (2008) Demombynes, Gabriel; Elbers, Chris; Lanjouw, Jean O.; Lanjouw, Peter
    This paper examines the performance small area of welfare estimation. The method combines census and survey data to produce spatially disaggregated poverty and inequality estimates. To test the method, predicted welfare indicators for a set of target populations are compared with their true values. The target populations are constructed using actual data from a census of households in a set of rural Mexican communities. Estimates are examined along three criteria: accuracy of confidence intervals, bias and correlation with true values. We find that while point estimates are very stable, the precision of the estimates varies with alternative simulation methods. Precision of estimates is shown to diminish markedly if unobserved location effects at the village level are not well captured in underlying consumption models. With well specified models there is only slight evidence of bias, but we show that bias increases if underlying models fail to capture latent location effects.