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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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Is the Nigerian Stock Market Efficient? Pre and Post 2007-2009 Meltdown Analysis

anomalies based on earnings’ yields and values, Journal Financial Economics, 9(1), pp. 19-46. 81. Samuels, J.M. & Yacout, N., (1981), Stock exchanges in developing countries, Savings and development, 5(4), pp. 217-230. 82. Samuelson, P.A., (1965), Proof that properly anticipated prices fluctuate randomly, Industrial Management Review, 6(2), pp. 41-49. 83. Santomero, A., (1991), Money supply announcements: A retrospective, Journal of Economics and Business, 43, pp. 1-23. 84. Schwert, G.W., (2002), Anomalies in market efficiency, The Bradley Policy

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The Dynamics of Savings Mobilisation in Lesotho

Fatai, B.O., (2013), “Relationship between Savings and Economic Growth in Nigeria”, The Social Sciences and Medwell Journals, 8(3), pp. 224-230. 6. Carroll, C.D. and Wel, D.N., (1994), “Saving and Growth: A Reinterpretation”, Carnegie-Rochester Conference Series on Public Policy 40: pp. 133-192. 7. Central Bank of Lesotho (CBL), (1990-2017), Annual Reports. Maseru, Lesotho. 8. Central Bank of Lesotho, (2004), Supervision Annual Report. Maseru, Lesotho. 9. Central Bank of Lesotho (CBL), (2012), Kingdom of Lesotho Rural Financial Intermediation

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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

. Estimating a firm’s age-productivity profile using the present value of workers’ earnings. The Quarterly Journal of Economics, 107(4): 1215-1242. 10.2307/2118386 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, and hiring: An experimental study. Journal of Human Resources, 43 1

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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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Exploiting the Irish Border to Estimate Minimum Wage Impacts in Northern Ireland

–2000Q1 NI minimum hourly wage N/A £3.60 RoI minimum hourly wage N/A N/A NLW introduction, 25+ years 2015Q4–2016Q1 2016Q2–2016Q3 NI minimum hourly wage £6.70 £7.20 RoI minimum hourly wage €8.65 (2015Q4) €9.15 €9.15 (2016Q1) Note : In sensitivity analysis, we also explore the exclusion of 2015Q4 in the “before” period for the introduction of the NLW. NI, Northern Ireland; NLW, National Living Wage; NMW, National Minimum Wage; RoI, Republic of Ireland. 2 Institutional details, data, and methods The

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