Labour Economics

Replication files of "Dual Returns to Experience"

This collection of programs allows a replication of the findings reported in "Skill Premiums and the Supply of Young Workers in Germany", Labour Economics, Vol. 72, 102034, 2021. (https://doi.org/10.1016/j.labeco.2021.102034)

Our analysis uses data from the 2001-2017 rounds of the American Community Survey. We restrict our sample to foreign-born men aged 25 to 64 living outside group quarters at the time of the interview, but excluding US citizens born abroad. We also restrict our sample to migrants (i ) who arrived in United States between 2 and 10 years before the survey, and (ii ) were at least 25 years-old at the time of immigration.

Stata programs to accompany The Role of Non-Contributory Pensions on Internal Mobility in Spain, by Catalina Amuedo-Dorantes and Cristina Borra

Data of: The Ins and Outs of Involuntary Part-time Employment The content of each *_baseline MS Excel data file is as follows: time series of seasonally-adjusted stocks (normalized by the corresponding population size), and time-series of seasonally-adjusted transition probabilities, corrected for margin error and time aggregation bias. The content of each *_reclassified MS Excel data file is identical but transition probabilities are in addition adjusted for potentially spurious transitions. The data run from January 1976 through December 2019. Variable names: • F: Full-time employment. • V: Voluntary part-time employment. • I: Involuntary part-time employment. • S: Involuntary part-time employment, slack work. • C: Involuntary part-time employment, cannot find full-time job. • U: Unemployment. • N: Non-participation. • j_k: Transition probability from j to k. • Y: Year. • M: Month. Description of data files: • all_baseline.xls and all_reclassified.xls: time series for the working-age population. • men_baseline.xls and men_reclassified.xls: time series for working-age men. • women_baseline.xls and women_reclassified.xls: time series for working-age women.

This paper presents the results of the first correspondence study that examined hiring discrimination against transgender people. Fictitious job applications (N = 2,224) were sent to employers with job postings in 12 low-skill occupations in Sweden. Overall, 40 percent of cisgender applicants received a positive employer response to their applications, while 34 percent of transgender applicants did. This result was not robust to the Heckman-Siegelman critique. However, when compared to the dominant gender in both male- and female-dominated occupations, estimates of discrimination were large and robust to the critique: Cisgender male applicants had an 83 percent relative advantage over transgender male and female applicants in male-dominated occupations and cisgender female applicants had a 53 percent relative advantage over transgender male and female applicants in female-dominated occupations. As no clear evidence of statistical discrimination was found, the observed differences between cisgender and transgender applicants can be attributed to taste-based discrimination.

This file contains three files: Data extracted from the National Child Development Study: - ncds-main.dta (Data to be opened in Stata 15 or above) - NCDS_pay.dta (Data to be opened in Stata 15 or above) Do files: Do-file Schurer et al.do (to be opened in Stata, any release). User needs to change paths to where data is saved.

Migration across EU countries at the cohort level.

This excel file contains the unemployment expectations for 16 assessed socio-demographic consumer groups, as well as the assessed macroeconomic variables.

We study how workers in production teams are affected by the temporary absence and replacement of a co-worker using data on injuries in the National Hockey League. We distinguish between the absence of a substitute worker, who performs the same tasks as the focal workers, and the absence of a complementary co-workers, who performs complementary tasks to the focal workers. When either type of co-worker is absent, remaining workers produce less output per working time. In the case of a substitute absentee, they compensate for this by increasing their working time at the expense of the (less able) replacement worker. This renders the output loss per remaining substitute worker to be insignificant. For the absence of a complementary worker, the productivity loss leads to a loss of total output per worker, because remaining workers cannot take over the absent co-worker’s tasks. Please read the Readme file which explains the empirical procedures and dataset. The dataset and R-files allow to replicate the results reported in the linked publication. The readme file exactly explains the correspondence between the results tables in the paper and the calculated results.