118 research outputs found
sj-pdf-1-ilr-10.1177_00197939221093562 – Supplemental material for Firm Pay Policies and the Gender Earnings Gap: The Mediating Role of Marital and Family Status
No full textSupplemental material, sj-pdf-1-ilr-10.1177_00197939221093562 for Firm Pay Policies and the Gender Earnings Gap: The Mediating Role of Marital and Family Status by Jiang Li, Benoit Dostie and Gaëlle Simard-Duplain in ILR Review</p
MODELS FOR LABOR FORCE ANALYSIS
No full textEconomic policy measures are generally fundamented on a system of indicators which allows both a static and a dynamic analysis of the complex processes taking place at macroeconomic level, especially when dealing with structural changes or dependences between population and economy. Labor market development and functioning is one of the key issues of Romania’s transition to the market economy. This requires the total reconsideration of the employment policy and of the use of labor in general, as well as of the mechanisms regulating demand and supply of labor.labor force indicators, unemployment rate, employment indicators
Rapid Fire Talks
No full textModerator: Tanvi Desai
Presenters: Michael Lenczner: Overcoming policy barriers to administrative data sharing through an inclusive civil society coalition Christian Hirsch: The Role of the Bundesbank Microdata Production in Times of Big Data: The Need for Data Access, Data Sharing and for an Integrated Digital Information System Lars Vilhuber: Reproducible research in administrative data center Sarah Strochak: Is Limited English Proficiency a Barrier to Homeownership? Benoit Dostie: Immigrant Careers and Networks Brittany Borg: Program Evaluation Using Multiple Datasets Nikolas Pharris-Ciurej: Blended data: a novel opportunity to advance survey operations and knowledge of the US economy and population Aaron D. Schroeder: Complying with New Address Requirements for the 2020 Census: Using Open Administrative Records and Delivery Point Validation Data to Discover Verified Multi-Family Unit Addresses in Arlington County, Virginia Rachel Carnahan: Using Administrative Data to Reduce Respondent Burden in Facility Data Collectio
The Impact of Training on Innovation
No full text The firm’s stock of human capital is an important determinant of its ability to innovate. As such, any increase in this stock through firm-sponsored training might lead to more innovation. The author tests this hypothesis using detailed data on firms’ human capital investments and innovation performance from the Canadian Workplace and Employee Survey, 1999–2006. The regression results, including workplace fixed effects and allowing for time-varying productivity shocks, demonstrate that more training leads to more product and process innovation, with on-the-job training playing a role that is as important as classroom training. Results from an event history analysis show, however, that this impact fades over time. </jats:p
Individual wage growth: the role of industry experience
No full textThe author would like to thank Simon Woodcock for invaluable help and suggestions, as well as two anonymous referees for their great comments; Benoit Dostie and Jennifer Hunt for extremely helpful advice on earlier versions of this work; and Stan Panis, who developed the software aML together with late Lee Lillard, for help and support. Researchers at the LABORatorio R. Revelli (Moncalieri, Turin, Italy) and in particular Claudia Villosio and Roberto Quaranta were of great help with the dataset and assistance during the author's work as a visiting researcher. The author would also like to acknowledge the participants in the 2009 Comparative Analysis of Enterprise Micro Data CAED Conference (Tokyo), the 2009 CEA conference (Toronto), the 2009 IZA Summer School (Buch am Ammersee, Germany), the 2011 AIEL Conference (Milan) and 2011 EALE Conference (Paphos, Cyprus) for feedback and discussions. Financial support by the Leibniz Association (SAW‐2012‐ifo‐3) is gratefully acknowledged. All remaining errors are the author's
Wages, Productivity and Aging
No full textIn this article, we estimate age based wage and productivity differentials using linked employer-employee Canadian data from the Workplace and Employee Survey 1999-2003. Data on the firm side is used to estimate production functions taking into account the age profile of the firm's work-force. Data on the workers' side is used to estimate wage equations that also depend on age. Results show concave age-wage and age-productivity profiles. Wage-productivity comparisons show that the productivity of workers aged 55 and more with at least an undergraduate degree is lower than their wages. For other groups, we find that wages do not deviate significantly from productivity estimates.Wage determination, productivity, production function, linked employer-employee data
Estimating the Returns to Firm-Sponsored On-the-Job and Classroom Training
No full textIn this paper, we estimate returns to classroom and on-the-job firm-sponsored training in terms of value-added per worker using longitudinal linked employee-employer Canadian data from 1999 to 2006. We estimate a standard production function controlling for endogenous training decisions because of perceived net benefits and time-varying market conditions using dynamic panel GMM methods. We find that employees who undertook classroom training are 11 percent more productive than otherwise similar employees. We show that returns to on-the-job training are on average lower (3.4 percent). We provide evidence that these lower returns are due to on-the-job training being more closely related to turnover and more geared toward subjects that are less productivity-enhancing.productivity, on-the-job training, classroom training, turnover, subjects of training
Wages, Productivity and Aging
No full textIn this article, we estimate age based wage and productivity differentials using linked employer-employee Canadian data from the Workplace and Employee Survey 1999-2003. Data on the firm side is used to estimate production functions taking into account the age profile of the firm’s workforce. Data on the workers’ side is used to estimate wage equations that also depend on age. Results show concave age-wage and age-productivity profiles. Wage-productivity comparisons show that the productivity of workers aged 55 and more with at least an undergraduate degree is lower than their wages. For other groups, we find that wages do not deviate significantly from productivity estimates.
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