Labor Earnings

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Laura Hospido - One of the best experts on this subject based on the ideXlab platform.

  • the cycle of Earnings inequality evidence from spanish social security data
    The Economic Journal, 2017
    Co-Authors: Stephane Bonhomme, Laura Hospido
    Abstract:

    We use detailed information on Labor Earnings and employment from social security records to document the evolution of Earnings inequality in Spain from 1988 to 2010. Male Earnings inequality was strongly countercyclical: it increased around the 1993 recession, showed a substantial decrease during the 1997-2007 expansion, and then a sharp increase during the recent recession. This evolution was partly driven by the cyclicality of employment and Earnings in the lower-middle part of the distribution. We emphasize the importance of the housing boom and subsequent housing bust, and show that demand shocks in the construction sector had large effects on aggregate Labor market outcomes.

  • the cycle of Earnings inequality evidence from spanish social security data
    2012
    Co-Authors: Stephane Bonhomme, Laura Hospido
    Abstract:

    We use detailed information on Labor Earnings and employment from Social Security records to document Earnings inequality in Spain from 1988 to 2010. Male Earnings inequality was strongly countercyclical: it increased around the 1993 recession, showed a substantial decrease during the 1997-2007 expansion and then a sharp increase during the recent recession. These developments were partly driven by the cyclicality of employment and Earnings in the lower-middle part of the distribution. We emphasize the importance of the housing boom and subsequent housing bust, and show that demand shocks in the construction sector significantly impacted aggregate Labor market outcomes.

  • Using Social Security Data to Estimate Earnings Inequality
    2009
    Co-Authors: Stephane Bonhomme, Laura Hospido
    Abstract:

    In this paper we use Social Security Data to characterize the evolution of wage inequality in Spain from 1980 to 2007. We use detailed administrative information on Labor Earnings and employment at a monthly frequency. As is common in administrative records, our measure of Labor Earnings is top and bottom-coded. To recover wages for those capped observations we use several estimates of the marginal distributions. In addition, we will use the panel structure of the data to impute wages for the non employed. This correction will be especially relevant in the case of Spanish women.

Stephane Bonhomme - One of the best experts on this subject based on the ideXlab platform.

  • the cycle of Earnings inequality evidence from spanish social security data
    The Economic Journal, 2017
    Co-Authors: Stephane Bonhomme, Laura Hospido
    Abstract:

    We use detailed information on Labor Earnings and employment from social security records to document the evolution of Earnings inequality in Spain from 1988 to 2010. Male Earnings inequality was strongly countercyclical: it increased around the 1993 recession, showed a substantial decrease during the 1997-2007 expansion, and then a sharp increase during the recent recession. This evolution was partly driven by the cyclicality of employment and Earnings in the lower-middle part of the distribution. We emphasize the importance of the housing boom and subsequent housing bust, and show that demand shocks in the construction sector had large effects on aggregate Labor market outcomes.

  • the cycle of Earnings inequality evidence from spanish social security data
    2012
    Co-Authors: Stephane Bonhomme, Laura Hospido
    Abstract:

    We use detailed information on Labor Earnings and employment from Social Security records to document Earnings inequality in Spain from 1988 to 2010. Male Earnings inequality was strongly countercyclical: it increased around the 1993 recession, showed a substantial decrease during the 1997-2007 expansion and then a sharp increase during the recent recession. These developments were partly driven by the cyclicality of employment and Earnings in the lower-middle part of the distribution. We emphasize the importance of the housing boom and subsequent housing bust, and show that demand shocks in the construction sector significantly impacted aggregate Labor market outcomes.

  • Using Social Security Data to Estimate Earnings Inequality
    2009
    Co-Authors: Stephane Bonhomme, Laura Hospido
    Abstract:

    In this paper we use Social Security Data to characterize the evolution of wage inequality in Spain from 1980 to 2007. We use detailed administrative information on Labor Earnings and employment at a monthly frequency. As is common in administrative records, our measure of Labor Earnings is top and bottom-coded. To recover wages for those capped observations we use several estimates of the marginal distributions. In addition, we will use the panel structure of the data to impute wages for the non employed. This correction will be especially relevant in the case of Spanish women.

Michael Mueller-smith - One of the best experts on this subject based on the ideXlab platform.

  • Effect of Registered Partnership on Labor Earnings and Fertility for Same-Sex Couples: Evidence From Swedish Register Data
    Demography, 2015
    Co-Authors: Lina Aldén, Lena Edlund, Mats Hammarstedt, Michael Mueller-smith
    Abstract:

    The expansion of legal rights to same-sex couples is afoot in a number of Western countries. The effects of this rollout are not only important in their own right but can also provide a window on the institution of marriage and the rights bundled therein. In this article, using Swedish longitudinal register data covering 1994–2007, we study the impact of the extension of rights to same-sex couples on Labor Earnings and fertility. In 1994, registered partnership for same-sex couples was introduced, which conferred almost all rights and obligations of marriage—a notable exception being joint legal parenting, by default or election. The latter was added in the 2002 adoption act. We find registered partnership to be important to both gays and lesbians but for different reasons. For gays, resource pooling emerges as the main function of registered partnerships. For lesbians, registered partnership appears to be an important vehicle for family formation, especially after the 2002 adoption act. In contrast to heterosexual couples (included for comparison), we find no evidence of household specialization among lesbians. The lack of specialization is noteworthy given similar fertility effects of registered partnership (after 2002) and the fact that lesbian couples were less assortatively matched (on education) than heterosexual couples—children and unequal Earnings power being two factors commonly believed to promote specialization.

Bruce Sacerdote - One of the best experts on this subject based on the ideXlab platform.

  • estimating the effect of unearned income on Labor supply Earnings savings and consumption evidence from a survey of lottery players
    The American Economic Review, 2001
    Co-Authors: Guido W Imbens, Donald B Rubin, Bruce Sacerdote
    Abstract:

    This paper provides empirical evidence about the effect of unearned income on Earnings. consumption, and savings. Using an original survey of people playing the lottery in Massachusetts in the mid-1980's, the effects of the magnitude of lottery prizes on economic behavior are analyzed. The critical assumption is that among lottery winners the magnitude of the prize is randomly assigned. It is found that unearned income reduces Labor Earnings, with a marginal propensity to consume leisure of approximately 11 percent, with larger effects for individuals between 55 and 65 years old. After receiving about half their prize, individuals saved about 16 percent.

Richard V Burkhauser - One of the best experts on this subject based on the ideXlab platform.

  • Using Internal CPS Data to Reevaluate Trends in Labor-Earnings Gaps
    Monthly Labor Review, 2009
    Co-Authors: Richard V Burkhauser
    Abstract:

    The Current Population Survey provides data that are used to compare gaps in the Labor Earnings of women and men, people of different races, and people of different levels of education; this article presents a data series that uses cell means and more accurately measures gaps and trends in Earnings than do other publicly available series

  • using the p90 p10 index to measure u s inequality trends with current population survey data a view from inside the census bureau vaults
    Review of Income and Wealth, 2009
    Co-Authors: Richard V Burkhauser, Shuaizhang Feng, Stephen P Jenkins
    Abstract:

    The March Current Population Survey (CPS) is the primary data source for estimation of levels and trends in Labor Earnings and income inequality in the USA. Time-inconsistency problems related to top coding in theses data have led many researchers to use the ratio of the 90th and 10th percentiles of these distributions (P90/P10) rather than a more traditional summary measure of inequality. With access to public use and restricted-access internal CPS data, and bounding methods, we show that using P90/P10 does not completely obviate time-inconsistency problems, especially for household income inequality trends. Using internal data, we create consistent cell mean values for all top-coded public use values that, when used with public use data, closely track inequality trends in Labor Earnings and household income using internal data. But estimates of longer-term inequality trends with these corrected data based on P90/P10 differ from those based on the Gini coefficient. The choice of inequality measure matters.

  • Using Internal Current Population Survey Data to Reevaluate Trends in Labor Earnings Gaps by Gender, Race, and Education Level
    2008
    Co-Authors: Richard V Burkhauser, Jeff Larrimore
    Abstract:

    Most empirical studies of trends in Labor Earnings gaps by gender, race or education level are based on data from the public use March Current Population Survey (CPS). Using the internal March CPS, we show that inconsistent topcoding in the public use data will understate these gaps and inaccurately capture their trends. We create a cell mean series beginning in 1975 that provides the mean of all values above the topcode for each income source in the public use March CPS and better approximate Earnings gaps found in the internal March CPS than was previously possible using publically available data.

  • Measuring Labor Earnings Inequality using Public-Use March Current Population Survey Data: The Value of Including Variances and Cell Means When Imputing Topcoded Values
    2008
    Co-Authors: Richard V Burkhauser, Shuaizhang Feng, Jeff Larrimore
    Abstract:

    Using the Census Bureau's internal March Current Population Surveys (CPS) file, we construct and make available variances and cell means for all topcoded income values in the public-use version of these data. We then provide a procedure that allows researchers with access only to the public-use March CPS data to take advantage of this added information when imputing its topcoded income values. As an example of its value we show how our new procedure improves on existing imputation methods in the Labor Earnings inequality literature.

  • Labor Earnings mobility and inequality in the united states and germany during the growth years of the 1980s
    National Bureau of Economic Research, 1997
    Co-Authors: Richard V Burkhauser, Douglas Holtzeakin, Stephen E Rhody
    Abstract:

    Recent years have witnessed increased interest in issues of inequality and mobility in the Labor market. Using data from the Panel Study of Income Dynamics and the German Socio-Economic Panel, we compare the Labor Earnings mobility of prime age men and women in the United States and Germany during the growth years of the 1980s. Despite major differences in Labor market institutions we find very similar patterns in the two countries. Our formal models of Labor Earnings dynamics suggest a great deal of persistence in both countries. In the United States this may derive from permanent individual-specific differences among men, while in Germany random shocks are found to persist longer for men. Women in Germany and the United States have similar Earnings dynamics.