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The Economic Effects of Providing Legal Status to DREAMers

All Docum. Undoc. Undoc17 Undoc17 Undoc17 HSG+ HSG+, 32- Employed (%) 61 61 68 60 60 57 College (%) 11 11 6 12 22 25 Non-employed (%) 28 28 27 27 18 18 Total count (Mn) 232.43 222.03 10.40 2.93 1.65 1.42 Wage ($) 20.61 20.82 16.39 14.73 15.94 14.40 as% Pop 100 95.53 4.47 1.26 0.71 0.61 as% Emp 100 95.53 4.99 1.24 0.70 0.57 Notes : The data are based on the 2012 American Community Survey (CMS version). We restrict to

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Labor Migration in Indonesia and the Health of Children Left Behind

of the Indonesia Family Life Survey. HAZ, height-for-age Z-scores; WAZ, weight-for-age Z-scores. Source : Author’s calculation based on Indonesia Family Life Survey microdata. Table 1b Characteristics of children by migration status of parents (year 2007) (1) Full sample (2) Neither parent migrated (3) One parent migrated HAZ −1.21 (1.18) −1.20 (1.18) −1.43 (1.17) WAZ −1.11 (1.36) −1.09 (1.36) −1.36 (1.28) Male 0.52 (0.50) 0.52 (0.50) 0.53 (0.50) Age (years) 11.27 (2.24) 11.25 (2.24) 11.56 (2

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The World’s Oldest Profession? Employment-Age Profiles from the Transactional Sex Market

estimation. AIDS and Behavior, 19 1 3 – 15 Kotlikoff, L.J. and Gokhale, J. 1992. Estimating a firm’s age-productivity profile using the present value of workers’ earnings. The Quarterly Journal of Economics, 107(4): 1215-1242. Kotlikoff L.J. and Gokhale J. 1992 Estimating a firm’s age-productivity profile using the present value of workers’ earnings. The Quarterly Journal of Economics, 107 4 1215 – 1242 Lahey, J.N. 2008. Age, women, and hiring: An experimental study. Journal of Human Resources, 43(1): 30-56. Lahey J.N. 2008 Age, women

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Domestic Debt and Economic Growth in Nigeria: An ARDL Bounds Test Approach

of Endogenous Growth. The Journal of Economic Perspectives , 8 (1), 3–22. https://doi.org/10.1257/jep.8.1.3 Sargent, T. J., & Wallace, N. (1981). Some Unpleasant Monetarist Arithmetic. Federal Reserve Bank of Minneapolis Quarterly Review , 5 (3), 1–17. Şen, H., & Kaya, A. (2013). The Role of Taxes as an Automatic Stabilizer: Evidence from Turkey. Economic Analysis and Policy , 43 (3), 303–313. https://doi.org/10.1016/S0313-5926(13)50033-6 Sheikh, M. R., Faridi, M. Z., & Tariq, K. (2010). Domestic Debt and Economic Growth in Pakistan: An

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Work-Related Psychosocial Risk Factors and Care Workers Mental Health (In Estonian Nursing Homes)

Hospital in Estonia: A Cross-Sectional Study. Scandinavian Journal of Work Environment Health, 43(5), 447-452. https://doi.org/10.1177/1403494815579477 Freimann, T., Pääsuke, M. & Merisalu, E. (2016). Work-Related Psychosocial Factors and Mental Health Problems Associated with Musculoskeletal Pain in Nurses: A Cross-Sectional Study. Pain Research and Management, ID 9361016, 7 pp. http://dx.doi.org/10.1155/2016/9361016 Gabriel, P., & Liimatainen, M.-R. (2000). Mental Health in the Workplace. Introduction Executive Summaries. Geneva

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Examining Different Factors of Income Tax Non-Compliance in a Small Sample in Bangladesh

International Accounting, Auditing and Taxation, 9(2), 83-103. https://doi.org/10.1016/S1061-9518(00)00027-6 Clotfelter, C. T. (1983). Tax Evasion and Tax Rates: An Analysis of Individual Returns. The Review of Economics and Statistics, 65(3), 363-373. https://doi.org/10.2307/1924181 Costello, A.B., & Osborne, J.W. (2005). Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most from your Analysis. Practical Assessment, Research & Evaluation, 10(7), 1-9. Retrieved from https://pareonline.net/pdf/v10n7.pdf

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Unemployment Impact of Product and Labor Market Regulation: Evidence from European Countries

.16*** -5.85*** -6.30* -7.67* 0.15 -1.98*** -6.21*** -6.12*** -7.20*** -8.32* (0.54) (0.67) (1.23) (1.92) (2.36) (2.52) (0.50) (0.27) (1.24) (1.89) (2.37) (2.52) PMR 1) State control -0.14 (0.64) 0.67 (0.46) -1.74* (0.54) -2.87* (0.76) -1.48** (0.61) -2.35* (0.75) a) Public ownership 0.25 -0.31 -0.14 -0.64 0.12 -0.30 (0.25) (0.30) (0.39) (0.43) (0.38) (0.48) b) Price controls

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Parents with an Unemployed Adult Child: Consumption, Income, and Savings Effects

.158*** 0.007 43.044 124.087 0.026 0.603 0.6 0.015 Working 0.016* 86.076* 289.249** 0.027 17.478*** 14.749*** -0.022* 0.006 37.074 95.366 0.017 0.518 0.501 0.009 State UR 0.001 -1.744 -14.385 -0.005 -0.201* -0.239** -0.003 0.002 12.277 23.863 0.004 0.081 0.077 0.003 Year & Age FE Yes Yes Yes Yes Yes Yes Yes Individual FE Yes Yes Yes Yes Yes Yes Yes N 38004 38004 38004 34229 38004 38004 38004 Note: Standard errors listed

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Reallocation and the Role of Firm Composition Effects on Aggregate Wage Dynamics

,156 euros in 2015. Regarding workers, we observe that the average age of employees in Italy increases from about 36 years in 1990 to 41 years in 2016; the share of women increases as well, from 30% to 36%, while, also due to the rising importance of the service sector, the share of blue collars declines from 64% to 59%. Table A1 Descriptive statistics on universe of firms paying contribution at INPS Year % of firms in industry % of firms in manufacturing wage Monthly per nominal employee Firm size N. of firms N. of employees Mean SD

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Diaspora Externalities

,451 1,588 Obs. with developed borrowing countries 427 431 No. of lending countries 17 17 No. of borrowing countries 158 158 R 2 0.86 0.94 Estimator OLS Poisson Notes : This table estimates the effect of migration on loans with interaction with non-developed countries. N , L , and B denote the number of observations, number of lending (investing) countries, and number of borrowing (issuing) countries, respectively. Regressions are estimated by OLS and Poisson. Standard errors are clustered at the borrowing

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