世界银行-收入和消费数据的统计匹配：罗马尼亚能源和收入贫困评估（英）

Policy Research Working Paper10917Statistically Matching Income and Consumption DataAn Evaluation of Energy and Income Poverty in Romania Britta RudeMonica Robayo-AbrilPoverty and Equity Global Practice September 2024 Public Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure AuthorizedProduced by the Research Support TeamAbstractThe Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.Policy Research Working Paper 10917To design effective policy instruments that target the energy poor in Romania, it is crucial to understand who the energy poor are. However, these types of analyses are limited by the current data environment. While monetary energy poverty estimates rely on data from expenditure surveys, traditional welfare indicators and detailed information on access to social protection programs form part of the EU-SILC. Sam-ples of both surveys differ; consequently, record linkage of both surveys is impossible. This paper propose an alterna-tive solution to combine information from both surveys, namely statistical matching techniques. It applies several imputation models to impute information on energy spend-ing shares from the HBS into the EU-SILC based on a set of matching variables, compare the performance of these models and apply the best-performing one. Based on the resulting matched dataset, the results show that nearly all the monetary poor are also energy poor, but that a sig-nificant additional share of the population in Romania is energy poor. Energy poverty rates are higher at the lower end of the welfare distribution. This result has significant welfare implications.This paper is a product of the Poverty and Equity Global Practice. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://www.worldbank.org/prwp. The authors may be contacted at mrobayo@worldbank.org and brude@worldbank.org.Statistically Matching Income and Consumption Data: An Evaluation of Energy and Income Poverty in Romania1 Britta Rude Monica Robayo-Abril JEL classification: O13, P28, Q42, D12, C15, C52 Keywords: energy poverty, statistical matching, poverty, data fusion, imputation, EU-SILC, Romania1 This paper was prepared as par