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2. The impact of robots on workplace injuries and deaths:Empirical evidence from Europe. (2025). Reljic, Jelena ; Guarascio, Dario ; De Simone, Marco.
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3. Mental Health and Labor Market Effects of Anticipating Job Loss. (2024). Miele, Kai R.
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4. Are our values becoming more fit for artificial intelligence society? A longitudinal study of occupational values and occupational susceptibility to technological substitution. (2023). Hellstrom, Magnus ; Spohr, Jonas ; Lngstedt, Johnny.
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2. Acemoglu and Autor (2011) standardized share of routine tasks -2-1 0 1 2 Within-occupation standardized share of automation risk Figure A.3: Comparison between Frey and Osborne (2017)’s measure of automation and ours (redefined at the occupational level) A0Z A1Z A2Z B0Z B1Z B2Z B3Z B4Z B5Z B6Z B7Z C1Z C2Z D1Z D2Z D3Z D4Z D6Z E0Z E1Z E2Z F1Z F4Z F5Z G0A G0B G1Z H0Z J0Z J1Z J3Z J4Z J5Z J6Z K0Z L0Z L1Z L2Z L3Z L4Z L5Z M1Z M2Z N0Z P0Z P1Z P2Z P4Z Q0Z Q1Z Q2Z R0Z R1Z R2Z R3Z R4Z S0Z S1Z S2Z S3Z T0Z T2A T2B T3Z T4Z U0Z U1Z V0Z V1Z V2Z V3Z V4Z V5Z W0Z W1Z ZZZ 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1
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27. Notes: Sample of 14,221 wage earners with non missing relevant observables interviewed both in 2013 and 2016. Measure of automation risk defined in Section 2. Reading: 49.4% of workers who declare having a routine job are classified as being exposed to the risk of automation.
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28. Notes: Sample of wage earners with non-missing relevant observables interviewed both in 2013 and 2016. Measure of automation risk defined in Section 2. Exact matching on gender, age, education and sector (private/public) categories combined with propensity score-kernel matching with the full set of controls (see Figure 1 for the list of variables included in the propensity score estimation). Bootstrapped standard errors.
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29. Notes: Sample of wage earners with non-missing relevant observables, interviewed both in 2013 and 2016. Weighted statistics.
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30. Notes: Sample: analysis restricted to the jobs containing at least 20 surveyed individuals. Weighted statistics Figure A.2: Comparison between Acemoglu and Dorn (2013)’s measure of automation and ours (redefined at the occupational level) A0Z A1Z A2Z B0Z B1Z B2Z B3Z B4Z B5Z B6Z B7Z C1Z C2Z D1Z D2Z D3Z D4Z D6Z E0Z E1Z E2Z F1Z F4Z F5Z G0A G0B G1Z H0Z J0Z J1Z J3Z J4Z J5Z J6Z K0Z L0Z L1Z L2Z L3Z L4Z L5Z M1Z M2Z N0Z P0Z P1Z P2Z P4Z Q0Z Q1Z Q2Z R0Z R1Z R2Z R3Z R4Z S0Z S1Z S2Z S3Z T0Z T2A T3Z T4Z U0Z U1Z V0Z V1Z V2Z V3Z V4Z V5Z W0Z W1Z ZZZ -2 -1 0 1 2
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31. Notes: Separate analysis on sub-samples among wage earners with non missing relevant observables interviewed both in 2013 and 2016.
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32. Notes: Separate analysis on sub-samples among wage earners with non-missing relevant observables interviewed both in 2013 and 2016.
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33. Notes: Separate analysis on sub-samples among wage earners with non-missing relevant observables interviewed both in 2013 and 2016.
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38. Schwabe, H. and Castellacci, F. (2020). Automation, workers’ skills and job satisfaction. PLOS One, 15(11).

39. Table A.4: Automation exposure by occupation Automation risk rate N Unskilled workers .433 592 Skilled workers .356 1703 Sales employees .287 458 Employees - public sector .249 2801 Employees - private sector .221 421 Employees - firm administration .174 826 Technicians .143 659 Intermediate professions - firm administration and sales .13 883 Foremen .103 332 Intermediate professions - public sector .095 2753 Executive manager - private sector .035 1195 Executive manager - public sector .033 1421 Source: French Working Conditions Survey 2016. Notes: Sample: analysis restricted to occupation categories containing at least 20 surveyed individuals. Weighted statistics.
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1. Displaced or depressed? Working in automatable jobs and mental health. (2024). Blasco, Sylvie ; Rochut, Julie ; Rouland, Benedicte.
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2. Are trade wars class wars? The importance of trade-induced horizontal inequality. (2024). Jaravel, Xavier ; Borusyak, Kirill.
   In: Journal of International Economics.
   RePEc:eee:inecon:v:150:y:2024:i:c:s002219962400062x.

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3. Industrial Robots and Regional Fertility in European Countries. (2023). Matysiak, Anna ; Bogusz, Honorata ; Bellani, Daniela.
   In: European Journal of Population.
   RePEc:spr:eurpop:v:39:y:2023:i:1:d:10.1007_s10680-023-09657-4.

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4. Conflict or cooperation? Exploring the relationship between cooperative institutions and robotisation. (2023). van Overbeke, Toon.
   In: British Journal of Industrial Relations.
   RePEc:bla:brjirl:v:61:y:2023:i:3:p:550-573.

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5. Pain or Anxiety? The Health Consequences of Rising Robot Adoption in China. (2023). Luo, Sen ; Seamans, Robert ; Liu, Qiren.
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6. Industrial robots and fertility in European countries. (2022). Matysiak, Anna ; Bogusz, Honorata ; Bellani, Daniela.
   In: Working Papers.
   RePEc:war:wpaper:2022-26.

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7. Displaced or Depressed? The Effect of Working in Automatable Jobs on Mental Health. (2022). Rouland, Bénédicte ; Blasco, Sylvie ; Rochut, Julie.
   In: IZA Discussion Papers.
   RePEc:iza:izadps:dp15434.

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8. People versus Machines: The Impact of Being in an Automatable Job on Australian Workers Mental Health and Life Satisfaction. (2022). Lordan, Grace ; Stringer, Eliza-Jane.
   In: IZA Discussion Papers.
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9. Association between Workers’ Anxiety over Technological Automation and Sleep Disturbance: Results from a Nationally Representative Survey. (2022). Baek, Seong-Uk ; Won, Jong-Uk ; Yoon, Jin-Ha.
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10. Industrial robots, Workers’ safety, and health. (2022). Gihleb, Rania ; Giuntella, Osea ; Wang, Tianyi ; Stella, Luca.
    In: Labour Economics.
    RePEc:eee:labeco:v:78:y:2022:i:c:s0927537122000963.

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11. People versus machines: The impact of being in an automatable job on Australian worker’s mental health and life satisfaction. (2022). Lordan, Grace ; Stringer, Eliza-Jane.
    In: Economics & Human Biology.
    RePEc:eee:ehbiol:v:46:y:2022:i:c:s1570677x22000405.

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12. Digital transformation: The role of computer use in employee health. (2022). Grienberger, Katharina ; Dengler, Katharina ; Hiesinger, Karolin ; Tisch, Anita.
    In: Economics & Human Biology.
    RePEc:eee:ehbiol:v:46:y:2022:i:c:s1570677x22000338.

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13. Replaced or depressed? The effect of automation risk on workers mental health. (2022). Blasco, Sylvie.
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14. Tracking the rise of robots: A survey of the IFR database and its applications. (2021). Schneider, Florian ; Klump, Rainer ; Jurkat, Anne.
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15. Tracking the rise of robots: A survey of the IFR database and its applications. (2021). Schneider, Florian ; Klump, Rainer ; Jurkat, Anne.
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16. Cities and Tasks. (2021). Ozgen, Ceren ; Koster, Hans.
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17. Illicit Drugs and the Decline of the Middle Class. (2021). Strulik, Holger ; Grossmann, Volker.
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18. For the Benefit of All: Fiscal Policies and Equity-Efficiency Trade-offs in the Age of Automation. (2021). Nakatani, Ryota ; Miyamoto, Hiroaki ; Bounader, Lahcen ; Gueorguiev, Nikolay ; Zanna, Luis-Felipe ; Moriyama, Kenji ; Berg, Andrew.
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19. Illicit drugs and the decline of the middle class. (2021). Strulik, Holger ; Grossmann, Volker.
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20. Automation, workers’ skills and job satisfaction. (2020). Castellacci, Fulvio ; Schwabe, Henrik.
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21. The Rise of US Earnings Inequality: Does the Cycle Drive the Trend?. (2020). Violante, Giovanni ; Perri, Fabrizio ; Heathcote, Jonathan.
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22. Industrial Robots, Workers Safety, and Health. (2020). Gihleb, Rania ; Giuntella, Osea ; Wang, Tianyi ; Stella, Luca.
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23. Industrial Robots, Workers’ Safety, and Health. (2020). Gihleb, Rania ; Giuntella, Osea ; Wang, Tianyi ; Stella, Luca.
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24. Industry 4.0, towards a de-globalization of value chains? Expected effects of advanced industrial robotics and additive manufacturing on the coordination system. (2019). Frigant, Vincent.
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25. Returns to Skills or Returns to Tasks? A Comment on Hanushek et al. (2015). (2017). Köppl-Turyna, Monika ; Christl, Michael ; Koppl-Turyna, Monika.
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26. Job Tasks, Time Allocation, and Wages. (2017). Sullivan, Paul ; Stinebrickner, Ralph.
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27. Educational Homogamy and Assortative Mating Have Not Increased. (2017). Lang, Kevin ; Gihleb, Rania.
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28. The Rising Return to Non-Cognitive Skill. (2017). Nybom, Martin ; Fredriksson, Peter ; Edin, Per-Anders ; Öckert, Björn ; Ockert, Bjorn.
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29. Income Effects and Vertical Differentiation in International Trade. (2016). Tampieri, Alessandro ; Picard, Pierre.
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30. The March of the Techies: Technology, Trade, and Job Polarization in France, 1994-2007. (2016). Toubal, Farid ; Reshef, Ariell ; Harrigan, James.
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31. Returns to ICT Skills. (2016). Wiederhold, Simon ; Heimisch-Röcker, Alexandra ; Falck, Oliver.
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32. Effects of Economic Development in China on Skill-Biased Technical Change in the US. (2015). Furukawa, Yuichi ; Cozzi, Guido ; Chu, Angus.
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33. Career Planning, School Grades, and Transitions: The Last Two Years in a German Lower Track Secondary School. (2015). Fitzenberger, Bernd ; Licklederer, Stefanie .
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34. Agglomeration and job matching among college graduates. (2015). Deitz, Richard ; Abel, Jaison.
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35. Offshoring domestic jobs. (2015). Kreickemeier, Udo ; Egger, Hartmut ; Wrona, Jens.
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36. Rolling Window Selection for Out-of-Sample Forecasting with Time-Varying Parameters. (2015). Rossi, Barbara ; Inoue, Atsushi ; Gancia, Gino ; Zilibotti, Fabrizio ; Acemoglu, Daron.
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37. Wage inequality in Uruguay: Technological change impact on occupational tasks. (2014). Rodríguez, Sandra ; Rodriguez A., Sandra.
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38. What Has Happened to Middle-Class Earnings? Distributional Shifts in Earnings in Canada, 1970-2005. (2014). Beach, Charles M..
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39. That was then, this is now: Skills and Routinization in the 2000s. (2014). Vona, Francesco ; Rentocchini, Francesco ; Consoli, Davide.
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40. Der Sonderfall Schweiz: Verlauf und Bestimmungs faktoren der Lohnquote in der Schweiz, 1980– 2012. (2014). Siegenthaler, Michael ; Graff, Michael.
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41. Job Tasks, Computer Use, and the Decreasing Part-Time Pay Penalty for Women in the UK. (2014). Elsayed, Ahmed ; Fouarge, Didier ; de Grip, Andries.
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42. Offshoring Potential and Employment Dynamics. (2014). Boockmann, Bernhard.
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43. Labor Force Participation: Recent Developments and Future Prospects. (2014). Wascher, William ; Smith, Christopher ; Fallick, Bruce ; Cajner, Tomaz ; Aaronson, Stephanie ; Galbis-Reig, Felix .
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44. The impact of immigration on the French labor market: Why so different?. (2014). Verdugo, Gregory ; Ortega, Javier.
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45. Effects of occupational regulations on the cost of dental services: Evidence from dental insurance claims. (2014). Wing, Coady ; Marier, Allison.
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46. A simple model of globalization, schooling and skill acquisition. (2014). Sly, Nicholas ; Davidson, Carl.
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47. Multinational firms, acquisitions and job tasks. (2014). Sjöholm, Fredrik ; Heyman, Fredrik ; Nilsson Hakkala, Katariina.
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48. Knowledge-based Hierarchies: Using Organizations to Understand the Economy. (2014). Rossi-Hansberg, Esteban ; Garicano, Luis.
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49. Choice for China: What Role for Vocational Education in Green Growth?. (2014). Jaeger, Carlo.
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50. Offshoring and relative labor demand from a task perspective. (2013). Hogrefe, Jan.
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51. Successive Technical Change and the Demand for Skill. (2013). Stijepic, Damir.
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52. Positioning Austria in the Global Economy: Value Added Trade, International Production Sharing and Global Linkages. (2013). Stöllinger, Roman ; Stehrer, Robert ; Stollinger, Roman.
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53. The Market for Rough Diamonds: Information, Finance and Wage Inequality. (2013). Koutmeridis, Theodore.
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54. The Market for Rough Diamonds: Information, Finance and Wage Inequality. (2013). Koutmeridis, Theodore.
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55. Is Technological Change Biased Towards the Unskilled in Services? An Empirical Investigation. (2013). Reshef, Ariell.
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56. Uncertainty and Heterogeneity in Returns to Education: Evidence from Finland. (2013). Kässi, Otto.
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57. Labour-Market Outcomes of Older Workers in the Netherlands: Measuring Job Prospects Using the Occupational Age Structure. (2013). ter Weel, Bas ; Bosch, Nicole.
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58. Labour-market outcomes of older workers in the Netherlands: Measuring job prospects using the occupational age structure. (2013). Bosch, Nicole ; Weel, Bas Ter.
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59. Integrated Sectors - Diversified Earnings: The (Missing) Impact of Offshoring on Wages and Wage Convergence in the EU27. (2013). Wolszczak-Derlacz, Joanna ; Parteka, Aleksandra.
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60. Wage inequality, tasks and occupations. (2012). Scotese, Carol.
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61. Uncertainty and Heterogeneity in Returns to Education: Evidence from Finland. (2012). Kässi, Otto ; Kassi, Otto.
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62. Skill Premium in Chile: Studying Skill Upgrading in the South. (2012). Gallego, Francisco.
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63. Service Trade and Occupational Tasks: An Empirical Investigation. (2012). Mion, Giordano ; Ariu, Andrea.
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64. Changes In Wage Inequality In France: The Impact Of Composition Effects (in French). (2012). Verdugo, Gregory ; Horny, Guillaume ; fraisse, henri.
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65. Measuring and Interpreting Trends in the Division of Labour in the Netherlands. (2011). ter Weel, Bas ; Borghans, Lex ; Akçomak, Semih.
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66. Service Trade and Occupational Tasks: An Empirical Investigation. (2011). Mion, Giordano ; Ariu, Andrea.
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67. Interpreting the Hours-Technology time-varying relationship. (2011). Leon-Ledesma, Miguel ; ferroni, filippo ; Cantore, Cristiano ; Leon-Ledesma, M A., .
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68. Inequality at Work: The Effect of Peer Salaries on Job Satisfaction. (2010). Saez, Emmanuel ; moretti, enrico ; Mas, Alexandre ; Card, David.
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69. The Increase in Income Cyclicality of High-Income Households and Its Relation to the Rise in Top Income Shares. (2010). Vissing-Jorgensen, Annette ; Parker, Jonathan.
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