Dealing with earnings bracket responses in household surveys - How sharp are midpoint imputations?

被引:12
作者
Von Fintel, Dieter [1 ]
机构
[1] Univ Stellenbosch, Dept Econ, ZA-7600 Stellenbosch, South Africa
关键词
household survey methodology; censored data; earnings; labour;
D O I
10.1111/j.1813-6982.2007.00122.x
中图分类号
F [经济];
学科分类号
02 ;
摘要
Earnings functions form the basis of numerous labour market analyses. Non-response (particularly among higher earners) may, however, lead to the exclusion of a significant proportion of South Africa's earnings base. Earnings brackets built into surveys intend to maintain response rates. Econometric tools to incorporate brackets vary from "simplistic" imputation to interval regressions. Coefficient differences are investigated here to establish reliable remedies. Monte-Carlo simulations suggest that "simple" methods fail only under extreme skewness and when a substantial number of right-censored observations appear in the sample. Testing procedures applied to LFS data reveal that in practice coefficients are virtually invariant to the proposed methods.
引用
收藏
页码:293 / 312
页数:20
相关论文
共 37 条
[21]   Exploring attrition bias: The case of the Khayelitsha Panel Study (2000-2004) [J].
Magruder, Jeremy ;
Nattrass, Nicoli .
SOUTH AFRICAN JOURNAL OF ECONOMICS, 2006, 74 (04) :769-781
[22]  
MALHERBE JE, 2007, THESIS U STELLENBOSC
[23]  
Mincer Jacob., 1974, Schooling, Experience, and Earnings, V2
[24]   Wage premiums for education and location of South African workers, by gender and race [J].
Mwabu, G ;
Schultz, TP .
ECONOMIC DEVELOPMENT AND CULTURAL CHANGE, 2000, 48 (02) :307-334
[25]  
Natrrass N, 2005, S AFR J ECON, V73, P498
[26]   THE PARETO CURVE AND ITS UTILITY FOR OPEN-ENDED INCOME DISTRIBUTIONS IN SURVEY-RESEARCH [J].
PARKER, RN ;
FENWICK, R .
SOCIAL FORCES, 1983, 61 (03) :872-885
[27]  
POSEL D, 2005, WHO REPLIES BRACKETS
[28]   Estimation and comparison of lognormal parameters in the presence of censored data [J].
Pouloukas, S .
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2004, 74 (03) :157-169
[30]  
*STAT S AFR, 2003, METADETA LAB FORC SU