Department of Economics
University of Copenhagen
Øster Farimagsgade 5
DK-1353 Copenhagen K
Information about this author at RePEc
NBER Working Papers and Publications
|July 2016||No Pain, No Gain: The Effects of Exports on Effort, Injury, and Illness|
with David Hummels, Chong Xiang: w22365
Increased job effort can raise productivity and income but put workers at increased risk of illness and injury. We combine Danish data on individuals’ health with Danish matched worker-firm data to understand how rising exports affect individual workers’ effort, injury, and illness. We find that when firm exports rise for exogenous reasons: 1. Workers work longer hours and take fewer sick-leave days; 2. Workers have higher rates of injury, both overall and correcting for hours worked; and 3. Women have higher sickness rates. For example, a 10% exogenous increase in exports increases women’s rates of injury by 6.4%, and hospitalizations due to heart attacks or strokes by 15%. Finally, we develop a novel framework to calculate the marginal dis-utility of any non-fatal disease, such as hear...
|February 2016||Offshoring and Labor Markets|
with David Hummels, Chong Xiang: w22041
We survey the recent empirical literature on the effects of offshoring on wages, employment and displacement. We start with the measurement of offshoring, focusing on the use of imported inputs that could have been produced by the importing firm. We overview key theories related to offshoring and its labor market effects and survey three waves of the literature on wage effects of offshoring: those using industry data, firm data, and worker data. For each wave we highlight the identification strategies used, critically assess strengths and weaknesses, discuss connections with theory, and draw out potential policy implications of its findings. Closely related, we address a new literature that looks at the differential impact of offshoring across occupations. Finally, we survey the litera...
|October 2011||The Wage Effects of Offshoring: Evidence from Danish Matched Worker-Firm Data|
with David Hummels, Rasmus Jørgensen, Chong Xiang: w17496
We estimate how offshoring and exporting affect wages by skill type. Our data match the population of Danish workers to the universe of private-sector Danish firms, whose trade flows are broken down by product and origin and destination countries. Our data reveal new stylized facts about offshoring activities at the firm level, and allow us to both condition our identification on within-job-spell changes and construct instruments for offshoring and exporting that are time varying and uncorrelated with the wage setting of the firm. We find that within job spells, (1) offshoring tends to increase the high-skilled wage and decrease the low-skilled wage; (2) exporting tends to increase the wages of all skill types; (3) the net wage effect of trade varies substantially across workers of the sa...
Published: David Hummels & Rasmus J?rgensen & Jakob Munch & Chong Xiang, 2014. "The Wage Effects of Offshoring: Evidence from Danish Matched Worker-Firm Data," American Economic Review, American Economic Association, vol. 104(6), pages 1597-1629, June. citation courtesy of