The Experts below are selected from a list of 37590 Experts worldwide ranked by ideXlab platform
Brooks Pierce - One of the best experts on this subject based on the ideXlab platform.
-
compensation for state and local government workers
Journal of Economic Perspectives, 2012Co-Authors: Maury Gittleman, Brooks PierceAbstract:Are state and local government workers overcompensated? This question has re state and local government workers overcompensated? This question has taken on considerable heat in the last year or two, as many states and localitaken on considerable heat in the last year or two, as many states and localities face budgetary stress. In this paper, we step back from the highly charged ties face budgetary stress. In this paper, we step back from the highly charged rhetoric and address this question with the two primary data sources for looking at rhetoric and address this question with the two primary data sources for looking at compensation of state and local government workers: the Current Population Survey compensation of state and local government workers: the Current Population Survey (CPS) conducted by the Bureau of the Census for the Bureau of Labor Statistics, (CPS) conducted by the Bureau of the Census for the Bureau of Labor Statistics, and the Employer Costs for Employee Compensation (ECEC) microdata collected as and the Employer Costs for Employee Compensation (ECEC) microdata collected as part of the National Compensation Survey (NCS) of the Bureau of Labor Statistics. part of the National Compensation Survey (NCS) of the Bureau of Labor Statistics. The fundamental difference between these two sources of data is that the CPS is The fundamental difference between these two sources of data is that the CPS is a household survey while the ECEC is a survey of employers. Data from the NCS a household survey while the ECEC is a survey of employers. Data from the NCS have been used in studies of union–nonunion, interindustry, and occupational wage have been used in studies of union–nonunion, interindustry, and occupational wage differentials (Gittleman and Pierce 2007, 2011; Levenson and Zoghi 2011) and in differentials (Gittleman and Pierce 2007, 2011; Levenson and Zoghi 2011) and in studies of compensation inequality (Pierce 2001, 2010). However, while NCS publistudies of compensation inequality (Pierce 2001, 2010). However, while NCS publications regularly present tabulations separately for the private sector, on the one cations regularly present tabulations separately for the private sector, on the one hand, and state and local government, on the other, the microdata from the NCS hand, and state and local government, on the other, the microdata from the NCS have not been previously used to compare compensation in the private sector to that have not been previously used to compare compensation in the private sector to that in the state and local government sectors. in the state and local government sectors. We begin by presenting some tabulations on pay differences across sectors We begin by presenting some tabulations on pay differences across sectors from these two data series—both raw pay differences between public and private from these two data series—both raw pay differences between public and private sectors and also some breakdowns by education level of workers (for the Current sectors and also some breakdowns by education level of workers (for the Current Population Survey) and skill level of the job (for the Employer Costs for Employee Population Survey) and skill level of the job (for the Employer Costs for Employee
-
compensation for state and local government workers
Journal of Economic Perspectives, 2012Co-Authors: Maury Gittleman, Brooks PierceAbstract:Are state and local government workers overcompensated? In this paper, we step back from the highly charged rhetoric and address this question with the two primary data sources for looking at compensation of state and local government workers: the Current Population Survey conducted by the Bureau of the Census for the Bureau of Labor Statistics, and the Employer Costs for Employee Compensation microdata collected as part of the National Compensation Survey of the Bureau of Labor Statistics. In both data sets, the workers being hired in the public sector have higher skill levels than those in the private sector, so the challenge is to compare across sectors in a way that adjusts suitably for this difference. After controlling for skill differences and incorporating employer costs for benefits packages, we find that, on average, public sector workers in state government have compensation costs 3-10 percent greater than those for workers in the private sector, while in local government the gap is 10-19 percent. We caution that this finding is somewhat dependent on the chosen sample and specification, that averages can obscure broader differences in distributions, and that a host of worker and job attributes are not available to us in these data. Nonetheless, the data suggest that public sector workers, especially local government ones, on average, receive greater remuneration than observably similar private sector workers. Overturning this result would require, we think, strong arguments for particular model specifications, or different data.
Pieter Serneels - One of the best experts on this subject based on the ideXlab platform.
-
explaining variation in child Labor Statistics
Journal of Development Economics, 2010Co-Authors: Andrew Dillon, Elena Bardasi, Kathleen Beegle, Pieter SerneelsAbstract:Child Labor Statistics are critical for assessing the extent and nature of child Labor activities in developing countries. In practice, widespread variation exists in how child Labor is measured. Questionnaire modules vary across countries and within countries over time along several dimensions, including respondent type and the structure of the questionnaire. Little is known about the effect of these differences on child Labor Statistics. This paper presents the results from a randomized survey experiment in Tanzania focusing on two survey aspects: different questionnaire design to classify children work and proxy response versus self-reporting. Use of a short module compared with a more detailed questionnaire has a statistically significant effect, especially on child Labor force participation rates, and, to a lesser extent, on working hours. Proxy reports do not differ significantly from a childs self-report. Further analysis demonstrates that survey design choices affect the coefficient estimates of some determinants of child Labor in a child Labor supply equation. The results suggest that low-cost changes to questionnaire design to clarify the concept of work for respondents can improve the data collected.
-
do Labor Statistics depend on how and to whom the questions are asked results from a survey experiment in tanzania
2010Co-Authors: Elena Bardasi, Andrew Dillon, Kathleen Beegle, Pieter SerneelsAbstract:Labor market Statistics are critical for assessing and understanding economic development. In practice, widespread variation exists in how Labor Statistics are measured in household surveys in low-income countries. Little is known whether these differences have an effect on the Labor Statistics they produce. This paper analyzes these effects by implementing a survey experiment in Tanzania that varied two key dimensions: the level of detail of the questions and the type of respondent. Significant differences are observed across survey designs with respect to different Labor Statistics. Labor force participation rates, for example, vary by as much as 10 percentage points across the four survey assignments. Using a short Labor module without screening questions on employment generates lower female Labor force participation and lower rates of wage employment for both men and women. Response by proxy rather than self-report yields lower male Labor force participation, lower female working hours, and lower employment in agriculture for men. The differences between proxy and self reporting seem to come from information imperfections within the household, especially with the distance in age between respondent and subject playing an important role, while gender and educational differences seem less important.
-
do Labor Statistics depend on how and to whom the questions are asked results from a survey experiment in tanzania
The World Bank Economic Review, 2010Co-Authors: Elena Bardasi, Andrew Dillon, Kathleen Beegle, Pieter SerneelsAbstract:Labor market Statistics are critical for assessing and understanding economic development. However, widespread variation exists in how Labor Statistics are collected in household surveys. This paper analyzes the effects of alternative survey design on employment Statistics by implementing a randomized survey experiment in Tanzania. Two features of the survey design are assessed - the level of detail of the employment questions and the type of respondent. It turns out that both features have relevant and statistically significant effects on employment Statistics. Using a short Labor module without screening questions induces many individuals to adopt a broad definition of employment, incorrectly including domestic duties. But after reclassifying those in domestic work as 'not working' in order to obtain the correct International Labor Organization (ILO) classification, the short module turns out to generate lower female employment rates, higher working hours for both men and women who are employed, and lower rates of wage employment than the detailed module. Response by proxy rather than self-report has no effect on female Labor Statistics but yields substantially lower male employment rates, mostly due to underreporting of agricultural activity. The large impacts of proxy responses on male employment rates are attenuated when proxy informants are spouses and individuals with some schooling.
Maury Gittleman - One of the best experts on this subject based on the ideXlab platform.
-
compensation for state and local government workers
Journal of Economic Perspectives, 2012Co-Authors: Maury Gittleman, Brooks PierceAbstract:Are state and local government workers overcompensated? This question has re state and local government workers overcompensated? This question has taken on considerable heat in the last year or two, as many states and localitaken on considerable heat in the last year or two, as many states and localities face budgetary stress. In this paper, we step back from the highly charged ties face budgetary stress. In this paper, we step back from the highly charged rhetoric and address this question with the two primary data sources for looking at rhetoric and address this question with the two primary data sources for looking at compensation of state and local government workers: the Current Population Survey compensation of state and local government workers: the Current Population Survey (CPS) conducted by the Bureau of the Census for the Bureau of Labor Statistics, (CPS) conducted by the Bureau of the Census for the Bureau of Labor Statistics, and the Employer Costs for Employee Compensation (ECEC) microdata collected as and the Employer Costs for Employee Compensation (ECEC) microdata collected as part of the National Compensation Survey (NCS) of the Bureau of Labor Statistics. part of the National Compensation Survey (NCS) of the Bureau of Labor Statistics. The fundamental difference between these two sources of data is that the CPS is The fundamental difference between these two sources of data is that the CPS is a household survey while the ECEC is a survey of employers. Data from the NCS a household survey while the ECEC is a survey of employers. Data from the NCS have been used in studies of union–nonunion, interindustry, and occupational wage have been used in studies of union–nonunion, interindustry, and occupational wage differentials (Gittleman and Pierce 2007, 2011; Levenson and Zoghi 2011) and in differentials (Gittleman and Pierce 2007, 2011; Levenson and Zoghi 2011) and in studies of compensation inequality (Pierce 2001, 2010). However, while NCS publistudies of compensation inequality (Pierce 2001, 2010). However, while NCS publications regularly present tabulations separately for the private sector, on the one cations regularly present tabulations separately for the private sector, on the one hand, and state and local government, on the other, the microdata from the NCS hand, and state and local government, on the other, the microdata from the NCS have not been previously used to compare compensation in the private sector to that have not been previously used to compare compensation in the private sector to that in the state and local government sectors. in the state and local government sectors. We begin by presenting some tabulations on pay differences across sectors We begin by presenting some tabulations on pay differences across sectors from these two data series—both raw pay differences between public and private from these two data series—both raw pay differences between public and private sectors and also some breakdowns by education level of workers (for the Current sectors and also some breakdowns by education level of workers (for the Current Population Survey) and skill level of the job (for the Employer Costs for Employee Population Survey) and skill level of the job (for the Employer Costs for Employee
-
compensation for state and local government workers
Journal of Economic Perspectives, 2012Co-Authors: Maury Gittleman, Brooks PierceAbstract:Are state and local government workers overcompensated? In this paper, we step back from the highly charged rhetoric and address this question with the two primary data sources for looking at compensation of state and local government workers: the Current Population Survey conducted by the Bureau of the Census for the Bureau of Labor Statistics, and the Employer Costs for Employee Compensation microdata collected as part of the National Compensation Survey of the Bureau of Labor Statistics. In both data sets, the workers being hired in the public sector have higher skill levels than those in the private sector, so the challenge is to compare across sectors in a way that adjusts suitably for this difference. After controlling for skill differences and incorporating employer costs for benefits packages, we find that, on average, public sector workers in state government have compensation costs 3-10 percent greater than those for workers in the private sector, while in local government the gap is 10-19 percent. We caution that this finding is somewhat dependent on the chosen sample and specification, that averages can obscure broader differences in distributions, and that a host of worker and job attributes are not available to us in these data. Nonetheless, the data suggest that public sector workers, especially local government ones, on average, receive greater remuneration than observably similar private sector workers. Overturning this result would require, we think, strong arguments for particular model specifications, or different data.
Andrew Dillon - One of the best experts on this subject based on the ideXlab platform.
-
explaining variation in child Labor Statistics
Journal of Development Economics, 2010Co-Authors: Andrew Dillon, Elena Bardasi, Kathleen Beegle, Pieter SerneelsAbstract:Child Labor Statistics are critical for assessing the extent and nature of child Labor activities in developing countries. In practice, widespread variation exists in how child Labor is measured. Questionnaire modules vary across countries and within countries over time along several dimensions, including respondent type and the structure of the questionnaire. Little is known about the effect of these differences on child Labor Statistics. This paper presents the results from a randomized survey experiment in Tanzania focusing on two survey aspects: different questionnaire design to classify children work and proxy response versus self-reporting. Use of a short module compared with a more detailed questionnaire has a statistically significant effect, especially on child Labor force participation rates, and, to a lesser extent, on working hours. Proxy reports do not differ significantly from a childs self-report. Further analysis demonstrates that survey design choices affect the coefficient estimates of some determinants of child Labor in a child Labor supply equation. The results suggest that low-cost changes to questionnaire design to clarify the concept of work for respondents can improve the data collected.
-
do Labor Statistics depend on how and to whom the questions are asked results from a survey experiment in tanzania
2010Co-Authors: Elena Bardasi, Andrew Dillon, Kathleen Beegle, Pieter SerneelsAbstract:Labor market Statistics are critical for assessing and understanding economic development. In practice, widespread variation exists in how Labor Statistics are measured in household surveys in low-income countries. Little is known whether these differences have an effect on the Labor Statistics they produce. This paper analyzes these effects by implementing a survey experiment in Tanzania that varied two key dimensions: the level of detail of the questions and the type of respondent. Significant differences are observed across survey designs with respect to different Labor Statistics. Labor force participation rates, for example, vary by as much as 10 percentage points across the four survey assignments. Using a short Labor module without screening questions on employment generates lower female Labor force participation and lower rates of wage employment for both men and women. Response by proxy rather than self-report yields lower male Labor force participation, lower female working hours, and lower employment in agriculture for men. The differences between proxy and self reporting seem to come from information imperfections within the household, especially with the distance in age between respondent and subject playing an important role, while gender and educational differences seem less important.
-
do Labor Statistics depend on how and to whom the questions are asked results from a survey experiment in tanzania
The World Bank Economic Review, 2010Co-Authors: Elena Bardasi, Andrew Dillon, Kathleen Beegle, Pieter SerneelsAbstract:Labor market Statistics are critical for assessing and understanding economic development. However, widespread variation exists in how Labor Statistics are collected in household surveys. This paper analyzes the effects of alternative survey design on employment Statistics by implementing a randomized survey experiment in Tanzania. Two features of the survey design are assessed - the level of detail of the employment questions and the type of respondent. It turns out that both features have relevant and statistically significant effects on employment Statistics. Using a short Labor module without screening questions induces many individuals to adopt a broad definition of employment, incorrectly including domestic duties. But after reclassifying those in domestic work as 'not working' in order to obtain the correct International Labor Organization (ILO) classification, the short module turns out to generate lower female employment rates, higher working hours for both men and women who are employed, and lower rates of wage employment than the detailed module. Response by proxy rather than self-report has no effect on female Labor Statistics but yields substantially lower male employment rates, mostly due to underreporting of agricultural activity. The large impacts of proxy responses on male employment rates are attenuated when proxy informants are spouses and individuals with some schooling.
Elena Bardasi - One of the best experts on this subject based on the ideXlab platform.
-
explaining variation in child Labor Statistics
Journal of Development Economics, 2010Co-Authors: Andrew Dillon, Elena Bardasi, Kathleen Beegle, Pieter SerneelsAbstract:Child Labor Statistics are critical for assessing the extent and nature of child Labor activities in developing countries. In practice, widespread variation exists in how child Labor is measured. Questionnaire modules vary across countries and within countries over time along several dimensions, including respondent type and the structure of the questionnaire. Little is known about the effect of these differences on child Labor Statistics. This paper presents the results from a randomized survey experiment in Tanzania focusing on two survey aspects: different questionnaire design to classify children work and proxy response versus self-reporting. Use of a short module compared with a more detailed questionnaire has a statistically significant effect, especially on child Labor force participation rates, and, to a lesser extent, on working hours. Proxy reports do not differ significantly from a childs self-report. Further analysis demonstrates that survey design choices affect the coefficient estimates of some determinants of child Labor in a child Labor supply equation. The results suggest that low-cost changes to questionnaire design to clarify the concept of work for respondents can improve the data collected.
-
do Labor Statistics depend on how and to whom the questions are asked results from a survey experiment in tanzania
2010Co-Authors: Elena Bardasi, Andrew Dillon, Kathleen Beegle, Pieter SerneelsAbstract:Labor market Statistics are critical for assessing and understanding economic development. In practice, widespread variation exists in how Labor Statistics are measured in household surveys in low-income countries. Little is known whether these differences have an effect on the Labor Statistics they produce. This paper analyzes these effects by implementing a survey experiment in Tanzania that varied two key dimensions: the level of detail of the questions and the type of respondent. Significant differences are observed across survey designs with respect to different Labor Statistics. Labor force participation rates, for example, vary by as much as 10 percentage points across the four survey assignments. Using a short Labor module without screening questions on employment generates lower female Labor force participation and lower rates of wage employment for both men and women. Response by proxy rather than self-report yields lower male Labor force participation, lower female working hours, and lower employment in agriculture for men. The differences between proxy and self reporting seem to come from information imperfections within the household, especially with the distance in age between respondent and subject playing an important role, while gender and educational differences seem less important.
-
do Labor Statistics depend on how and to whom the questions are asked results from a survey experiment in tanzania
The World Bank Economic Review, 2010Co-Authors: Elena Bardasi, Andrew Dillon, Kathleen Beegle, Pieter SerneelsAbstract:Labor market Statistics are critical for assessing and understanding economic development. However, widespread variation exists in how Labor Statistics are collected in household surveys. This paper analyzes the effects of alternative survey design on employment Statistics by implementing a randomized survey experiment in Tanzania. Two features of the survey design are assessed - the level of detail of the employment questions and the type of respondent. It turns out that both features have relevant and statistically significant effects on employment Statistics. Using a short Labor module without screening questions induces many individuals to adopt a broad definition of employment, incorrectly including domestic duties. But after reclassifying those in domestic work as 'not working' in order to obtain the correct International Labor Organization (ILO) classification, the short module turns out to generate lower female employment rates, higher working hours for both men and women who are employed, and lower rates of wage employment than the detailed module. Response by proxy rather than self-report has no effect on female Labor Statistics but yields substantially lower male employment rates, mostly due to underreporting of agricultural activity. The large impacts of proxy responses on male employment rates are attenuated when proxy informants are spouses and individuals with some schooling.
