• Ingen resultater fundet

B. Robustness checks

5. Conclusion

This paper uses high-quality data from Denmark to estimate the effects of maternal prenatal health behaviors on birth outcomes. My results not only are in line with earlier sibling-based studies on maternal prenatal smoking but also add to them by factoring in information on important maternal behaviors such as prenatal alcohol consumption.

I find that the negative smoking effect on birth weight and fetal growth is smaller than that suggested by cross-sectional analyses but remains rather stable in FE models in spite of inclusion of additional covariates. Exploiting sibling variation, I find that smoking reduces birth weight by 97g and fetal growth by 2.66g/week. When taking a mother FE and a number of maternal life styles into consideration, I find no significant smoking effects for the probability of experiencing a preterm birth. Maternal alcohol consumption in particular plays an important role, as it increaser the risk of preterm birth significantly by 7.8 percent for the number of units consumed per day (i.e., at the average of 0.28 units, an increase of 2.1 percent). I find that maternal alcohol consumption reduces birth weight by 147g for each daily unit, i.e., 26g at the mean alcohol consumption, and fetal growth by 3.7g/week, i.e., 1g/week at the mean alcohol consumption.

The findings from an analysis of light and heavy smokers/drinkers show that the results are driven by mothers who smoke/drink above average. There is additional indication of heterogeneous effects, as earlier studies also argue: smoking effects are more pronounced for younger mothers and those with lower education. Yet the effect of maternal alcohol consumption is driven by older mothers and mothers with a higher educational level.

Maternal employment during pregnancy—as also considered by some earlier studies—

displays a modest negative effect for the probability of preterm birth. As this finding for my

Danish sample stands in contrast to evidence from the UK and the U.S., the differences might be due to institutional and cultural factors leading to different selection processes.

As for the potential pitfalls of my study, I find that sample selection into my sibling sample based on observables and time-invariant unobservables is not an important problem.

Drawing different samples of multiple mothers from the administrative registry reveals differences in observables between participating and non-participating mothers. However, estimation results do not differ for maternal smoking. Furthermore, my analysis has shown that measurement error is a minor concern in my application. The comparison of the maternal survey report and the maternal report to the administrative registry suggests that the survey report is more trustworthy. This finding emphasizes the importance of timing and the way of measurement of inputs for the validity of estimation results. Finally, composite measures of behavior during pregnancy potentially cover over important changes in maternal behavior during pregnancy. This factor is worth exploring in future research in terms of indication of critical periods during pregnancy.

References

Abrevaya, J. 2006. "Estimating the effect of smoking on birth outcomes using a matched panel data approach," Journal of Applied Econometrics, vol. 21, no. 4, pp. 489-519.

Abrevaya, J. & Dahl, C. M. 2008. "The effects of birth inputs on birth weight: evidence from quantile estimation on panel data," Journal of Business and Economic Statistics, vol. 26, no. 4, pp. 379-397.

Albertsen, K., Andersen, A. M. N., Olsen, J., & Gronbaek, M. 2004. "Alcohol Consumption during Pregnancy and the Risk of Preterm Delivery," American Journal of Epidemiology, vol. 159, no. 2, pp. 155-161.

Almond, D., Currie, J., 2010. “Human capital development before age five.” NBER Working Paper 15827.

Barker, D. J. P. 1997. "Maternal nutrition, fetal nutrition, and disease in later life,"

Nutrition, vol. 13, no. 9, pp. 807-813.

Bernstein, I., Mongeon, J., Badger, G., Solomon, L., Heil, S., & Higgins, S. 2005. "Maternal smoking and its association with birth weight," Obstetrics and Gynecology no. 106, pp.

986-991.

Black, D. A., Berger, C., & Scott, F. A. 2000. "Bounding Parameter Estimates with

Nonclassical Measurement Error," Journal of the American Statistical Association, vol.

95, no. 451, pp. 739-748.

Black, S. E., Devereux, P. J., & Salvanes, K. G. 2007. "From the cradle to the labor market?

The effect of birth weight on adult outcomes," The Quarterly Journal of Economics, vol.

122, no. 1, pp. 409-439.

Case, A., Fertig, A., & Paxson, C. 2005. "The lasting impact of childhood health and circumstances," Journal of Health Economics, vol. 24, pp. 365-389.

Case, A., Lubotsky, D., & Paxson, C. 2002. "Economic status and health in childhood: The origins of the gradient," American Economic Review, vol. 92, no. 5, pp. 1308-1334.

Chou, S. Y., Liu, J. T., Grossman, M., & Joyce, T. J. 2007. "Parental Education and Child Health: Evidence from a Natural Experiment in Taiwan," National Bureau of Economic Research Working Paper Series, vol. No. 13466.

Cunha, F. & Heckman, J. 2007. "The Technology of Skill Formation," American Economic Review, vol. 97, no. 2, pp. 31-48.

Currie, J. 2000. "Child health in developed countries," in Handbook of health economics, 1 edn, vol. 1B A. J. Culyer & J. P. Newhouse, eds., Elsevier Science, Amsterdam, pp.

1053-1092.

Currie, J. 2008. "Healthy, Wealthy, and Wise: Socioeconomic Status, Poor Health in Childhood, and Human Capital Development," National Bureau of Economic Research Working Paper Series, No. 13987.

Currie, J. & Moretti, E. 2003. "Mother's Education and the Intergenerational Transmission of Human Capital: Evidence From College Openings," Quarterly Journal of Economics, vol. 118, no. 4, pp. 1495-1532.

Currie, J. & Moretti, E. 2007. "Biology as Destiny? Short and Long-Run Determinants of Intergenerational Transmission of Birth Weight," Journal of Labor Economics, vol. 25, pp. 231-264.

Dave, D., Decker, S., Kaestner, R., & Simon, K. I. 2008. “Re-Examining the Effects of Medicaid Expansions for Pregnant Women,” NBER working paper 14591.

Del Bono, E., Ermisch, J., & Francesconi, M. 2008. “Intrafamily resource allocations: A dynamic model of birth weight,” IZA Discussion Paper 3704.

Ebrahim, S. H., Diekman, S. T., Floyd, R. L., & Decoufle, P. 1999. "Comparison of binge drinking among pregnant and nonpregnant women, United States, 1991-1995," American Journal of Obstetrics and Gynecology, vol. 180, no. 1, pp. 1-7.

Egebjerg Jensen, K., Jensen, A., Nøhr, B., & Krüger, S. K. 2008. "Do pregnant women still smoke? A study of smoking patterns among 261,029 primiparous women in Denmark 1997-2005," Acta Obstetricia et Gynecologica Scandinavica, vol. 87, pp. 760-767.

Griliches, Z. 1979. "Sibling Models and Data in Economics: Beginnings of a Survey," The Journal of Political Economy, vol. 87, no. 5, p. S37-S64.

Henderson, J., Gray, R., & Brocklehurst, P. 2007. “Systematic review of effects of low and moderate prenatal alcohol exposure on pregnancy outcome.” An International Journal of Obstetrics & Gynaecology 1143, 243-252.

Juhl, M., Andersen, P. K., Olsen, J., Madsen, M., Jorgensen, T., Nohr, E. A., & Andersen, A. M. N. 2008. "Physical Exercise during Pregnancy and the Risk of Preterm Birth: A Study within the Danish National Birth Cohort," American Journal of Epidemiology, vol.

167, no. 7, pp. 859-866.

Lien, D. S. & Evans, W. N. 2005. "Estimating the Impact of Large Cigarette Tax Hikes: The Case of Maternal Smoking and Infant Birth Weight," Journal of Human Resources, vol.

XL, no. 2, pp. 373-392.

Lindeboom, M., Llena-Nozal, A., & van der Klaauw, B. 2006, “Parental education and child health: Evidence from a schooling reform,” IZA Discussion Paper 2516.

Linnet, K. M., Wisborg, K., Agerbo, E., Secher, N. J., Thomsen, P. H., & Henriksen, T. B.

2006. "Gestational age, birthweight and the risk of hyperkinetic disorder," Archives of Disease in Childhood, pp. 655-660.

Lumley, J., Oliver Sandy, Chamberlain, C., & Oakley, L. 2004. Interventions for promoting smoking cessation during pregnancy. Cochrane Database of Systematic Reviews:

Reviews 2004 Issue 4.

Nathanson, V., Jayesinghe, N., & Roycroft, G. 2008. "Is it all Right for Women to Drink Small Amounts of Alcohol in Pregnancy? No." Obstetric Anesthesia Digest, vol. 28, no.

2.

Nilsson, J. P., 2008. “Does a pint a day affect your child’s pay? The effect of prenatal alcohol exposure on adult outcomes.” Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

Nohr, E. A., Frydenberg, M., Henriksen, T. B., & Olsen, J. 2006. "Does low participation in cohort studies induce bias?" Epidemiology, vol. 17, no. 4, pp. 413-418.

O'Brien, P. 2008. "Is it all Right for Women to Drink Small Amounts of Alcohol in Pregnancy? Yes." Obstetric Anesthesia Digest, vol. 28, no. 2.

Olsen, J., Frische, G., Poulsen, A. O., & Kirchheiner, H. 1989. "Changing smoking, drinking, and eating behaviour among pregnant women in Denmark," Scandinavian Journal of Social Medicine no. 17, pp. 277-280.

Olsen, J., Melbye, M., Olsen, S. F., Sørensen, T. I. A., Aaby, P., Andersen, A. M. N., Taxbøl, D., Hansen, K. D., Juhl, M., Schow, T. B., Sørensen, H. T., Andresen, J., Mortensen, E. L., Olesen, A. W., & Søndergaard, C. 2001. "The Danish National Birth Cohort and its background, structure and aim," Scandinavian Journal of Public Health, vol. 29, no. 4, pp. 300-307.

Oreopoulos, P., Stabile, M., Walld, R., & Roos, L. L. 2008. "Short-, Medium-, and Long-Term Consequences of Poor Infant Health," Journal of Human Resources, vol. 43, no. 1, pp. 88-138.

Reichman, N. E., Corman, H., Noonan, K., & Dave, D. 2009. "Infant health production functions: what a difference the data make," Health Economics, vol. 18, no. 7, p. 761.

Rosenzweig, M. R. & Schultz, T. P. 1983. "Estimating a Household Production Function:

Heterogeneity, the Demand for Health Inputs, and Their Effects on Birth Weight," The Journal of Political Economy, vol. 91, no. 5, pp. 723-746.

Rosenzweig, M. R. & Wolpin, K. I. 1994. "Are There Increasing Returns to the Intergenerational Production of Human Capital? Maternal Schooling and Child

Intellectual Achievement," The Journal of Human Resources, vol. 29, no. 2, pp. 670-693.

Rosenzweig, M. R. & Wolpin, K. I. 1995. "Sisters, Siblings, and Mothers: The Effect of Teen-Age Childbearing on Birth Outcomes in a Dynamic Family Context,"

Econometrica, vol. 63, no. 2, pp. 303-326.

Stade, B., Bailey, C., Dzendoletas, D., Sgro, M., Dowswell, T., & Bennett, D. 2009, Psychological and/or educational interventions for reducing alcohol consumption in pregnant women and women planning pregnancy, Cochrane Database of Systematic Reviews 2009, Issue 2.

U.S.Department of Health and Human Services 2004, The health consequences of smoking.

2004 Surgeon General's Report., U.S. Department of Health and Human Services.

Waldfogel, J., Han, W. J., & Brooks-Gunn, J. 2002. "The Effects of Early Maternal Employment on Child Cognitive Development," Demography, vol. 39, no. 2, pp. 369-392.

Tables:

Table 1. Descriptive statistics. DNBC pooled sample and sibling sample.

Pooled sample

Sibling sample

Mean Std. Mean Std.

Child outcome variables

Birth weight, kg 3.59 0.55 3.64 0.53

Gestational age, weeks 39.6 1.65 39.68 1.54

Preterm birth, percentage 0.04 0.03

Child sex (female) 0.49 0.49

First born child 0.46 0.39

Maternal age at birth, years 29.96 4.27 29.59 3.83

Mother smoked during pregnancy, i1 Mother smoked, i2

Cigarettes/day for smokers, i1 Cigarettes/day for smokers, i2

0.26 0.16 8.25 8.68

5.63 5.38

0.19 0.11 8.17 8.49

5.34 5.9 Alcohol consumption, i1

>1 unit per week

Alcohol consumption, i2

>1 unit per week

Units per day for drinkers, i1 Units per day for drinkers, i2

0.24 0.31 0.26 0.28

0.18 0.19

0.26 0.33 0.24 0.27

0.16 0.19

BMI before pregnancy 23.59 4.25 23.5 4.19

Father smoked, i1 (N. of obs.: 79,444 in full sample; 9823 in sibling sample)

0.3 0.25

Maternal lm participation, i1 0.81 0.81

Maternal lm participation, i2 0.77 0.77

Number of observations with both survey waves:

- number of single children - number of sibling-pairs - number of sibling-triplets - number of mothers

79,482 69,652 4,844 47 74,544

9,829

Notes: i1: interview one, i2: interview two.

Table 2: Maternal smoking behavior during pregnancy.

Mother’s smoking type Share of pregnancies

Only smoking early in pregnancy (<i1) 0.074

Smoking until i1 0.008

Smoking longer than i1 (>i1) 0.016

Smoking until i2 0.16

Notes: i1: interview one, i2: interview two. The table assumes smoking to be constant for periods before the reporting date, e.g., mothers who report smoking until i1 are assumed to have been smoking without interruption prior to interview one.

Table 3: OLS estimates for birth weight, fetal growth and preterm birth.

(1) (2) (3) (4) (5) (6) Birth

weight, kg

Birth weight, kg

Fetal growth, g/week

Fetal growth, g/week

Preterm birth

Preterm birth Smoking

indicator

-0.240 -0.114 -5.8 -2.92 0.007 -0.003

(0.005)** (0.009)** (0.123)** (0.209)** (0.002)** (0.004) Number of

cig./day

-0.013 -0.305 0.001

(0.001)** (0.020)** (0.000)*

Alcohol indicator: 1 or more per week

0.020 0.373 -0.005

(0.006)** (0.144)** (0.002)*

Number of glasses/day

-0.045 -1.381 -0.002

(0.018)* (0.404)** (0.007)

BMI before pregnancy

0.017 0.402 0.000

(0.000)** (0.011)** (0.000)

Indicator for exercise during pregnancy

0.018 0.269 -0.009

(0.004)** (0.095)** (0.002)**

Indicator for fish

consumption

0.003 0.073 0.000

(0.001)** (0.023)** (0.000)

Employment indicator

0.008 0.027 0.07 0.171 -0.007 -0.012 (0.005) (0.005)** (0.106) (0.106) (0.002)** (0.002)**

Sick-listed -0.056 -0.745 0.035

(0.006)** (0.140)** (0.003)**

Observations 79482 79482 79482 79482 79482 79482

Notes: Robust standard errors in parentheses;* significant at 5% level; ** significant at 1%

level; Models additionally control for maternal education, maternal age group, birth year, cohabitation status, and child sex and parity.

Table 4. FE estimates for birth weight, fetal growth and preterm birth.

(1) (2) (3) (4) (5) Birth

weight, kg

Birth weight, kg

Fetal growth g/week

Fetal growth g/week

Preterm birth

Smoking indicator -0.108 -0.097 -2.687 -2.66 0.006 (0.036)** (0.042)* (0.808)** (0.951)** (0.018) Number of

cig./day

-0.001 0.016 -0.002

(0.004) (0.101) (0.002)

Alcohol indicator 0.015 0.625 -0.009

(0.022) (0.493) (0.009)

Number of glasses/day

-0.147 -3.7 0.078

(0.069)* (1.566)* (0.030)**

Indicator for exercise

-0.005 -0.130 -0.003

(0.014) (0.308) (0.006)

Indicator for fish consumption

-0.001 -0.038 0.001

(0.004) (0.089) (0.002)

BMI before pregnancy

0.005 0.200 0.002

(0.004) (0.099)* (0.002)

Employment indicator

0.012 0.018 -0.03 -0.02 -0.025 (0.016) (0.018) (0.370) (0.397) (0.007)**

Sick-listed -0.003 0.099 0.016*

(0.019) (0.425) (0.008)

Standard errors in parentheses; * significant at 5% level; ** significant at 1% level; Models additionally control for maternal education, maternal age group, birth year, cohabitation status, and child sex and parity. Number of obs.: 9829. Number of groups: 4891

Table 5. Heterogeneous effects for mothers in different age groups. FE estimation

(1) <=26 (2)27-33 (3)>33

Birth weight Birth weight Birth weight

Smoking indicator -0.185 -0.092 0.241

(0.071)** (0.063) (0.166)

Number of cig./day -0.001 0.001 -0.012

(0.007) (0.006) (0.022)

Alcohol indicator 0.010 0.030 -0.163

(0.044) (0.032) (0.069)*

Number of glasses/day -0.105 -0.224 0.075

(0.160) (0.106)* (0.176)

Indicator for exercise 0.012 -0.014 0.018

(0.024) (0.020) (0.047) Indicator for fish

consumption

0.002 -0.002 0.007 (0.007) (0.006) (0.013)

BMI before pregnancy 0.006 0.003 -0.006

(0.007) (0.007) (0.016)

Employment indicator 0.004 0.006 -0.029

(0.026) (0.027) (0.061)

Sick-listed 0.011 -0.011 -0.076

(0.030) (0.029) (0.065) Observations 3070 5228 1531

Number of groups 1527 2915 1075

Notes: Standard errors in parentheses. Age groups according to mother’s age at first birth in the sibling sample. * significant at 5% level; ** significant at 1% level. Models additionally control for maternal education, birth year, cohabitation status, and child sex and parity.

Table 6. Heterogeneous effects for mothers with different educational level. FE estimation.

Birth weight.

(1) Short education (2) Medium and long education

Birth weight Birth weight

Smoking indicator -0.142 -0.018

(0.050)** (0.080)

Number of cig./day -0.002 0.008

(0.005) (0.012)

Alcohol indicator 0.001 0.035

(0.029) (0.034)

Number of glasses/day -0.133 -0.164

(0.091) (0.109)

Indicator for exercise 0.015 -0.029

(0.018) (0.021) Indicator for fish

consumption

-0.006 0.006 (0.005) (0.006)

BMI before pregnancy 0.003 0.009

(0.005) (0.008)

Employment indicator 0.008 0.035

(0.021) (0.031)

Sick-listed 0.005 -0.022

(0.023) (0.033)

Observations 6004 3825

Number of groups 2986 1906

Standard errors in parentheses. Educational level according to mother’s age at first birth in the sibling sample. * significant at 5% level; ** significant at 1% level. Models additionally control for maternal age, birth year, cohabitation status, and child sex and parity.

Table 7: Differences between changing and non-changing mothers in the sibling sample.

Mothers who stop smoking between pregnancies

Mothers who smoke during both pregnancies

1st 2nd 1st 2nd

Mean number of units of alcohol/day, mean and std. dev.

0.62 (1.1) 0.59 (1.1) 0.68 (1.5) 0.68 (1.6) Number of cigarettes during first

observed pregnancy, mean and std. dev. **

4.6 (4.4) 8.7 (5.4)

Mother exercises, percent 31 11 20 16

Mother is employed during pregnancy, percent

78 71 71 67 Birth weight of first child, mean

and std. dev.

3.45 (0.53) 3.38 (0.53)

# of mothers 141 396

Notes: Sibling sample of mothers who participate twice in the DNBC, excluded: 3rd children of mothers in the sibling sample. Differences in means between mothers who stop smoking and continuously smoking mothers: * significant at 5% level; ** significant at 1% level.

Table 8: Descriptive statistics for different samples; means and std. dev.

(1) Mothers

who participate at least once in DNBC,

information on their births 1994-2003

(2) All mothers who have at least one eligible pregnancy in the period 1998-2003, information on their births 1994-2003

(3) Mothers who participate at least two times in DNBC, only births in the sampling period 1998-2003

(4) All mothers who have at least two eligible pregnancies in the period 1998-2003, only births in the sampling period 1998-2003

Birth weight 3.52 (0.56) [60 862]

3.47 (0.6) [237 934]

3.58 (0.53) [4 367]

3.42 (0.64) [85 967]

Mother’s age 28.54 (4.25) [61 483]

28.58 (4.81) [241 971]

28.3 (3.62) [4 410]

27.89 (4.33) [87 582]

Complicated prenatal check up

0.08 [61 272]

0.11 [240 089]

0.07 [4 400]

0.11 [87 068]

Smoking dummy 0.15 [48 929]

0.21 [182 198]

0.11 [4 196]

0.17 [78 902]

Note: All columns only contain mothers with multiple children. Means for first observed child after 1994 for each mother in the respective period. Number of observations (first child per mother) in brackets.

Table 9: Pooled OLS on different samples, only information from administrative registry data.

(1) Mothers

who participate at least once in DNBC, all their births 1994-2003

(2) All mothers who have at least one eligible pregnancy in the period 1998-2003, all their births 1994-2003

(3) Mothers who participate at least two times in DNBC, only births in the sampling period 1998-2003

(4) All mothers who have at least two eligible pregnancies in the period 1998-2003, only births in the sampling period 1998-2003

Birth weight Birth weight Birth weight Birth weight

Smoking dummy -0.229 -0.229 -0.228 -0.228

(0.006)** (0.003)** (0.022)** (0.005)**

Cohabitation status

0.027 (0.011)*

0.049 (0.005)**

0.063 (0.046)

0.056 (0.008)**

Dummy for complicated check up during pregnancy

-0.074 -0.115 0.013 -0.118 (0.005)** (0.003)** (0.017) (0.004)**

Child’s sex -0.127 -0.124 -0.120 -0.122

(0.003)** (0.002)** (0.011)** (0.003)**

# of observations 99 811 346 401 8 419 159 745

# of mothers 59 649 225 826 4 368 83 775

R-squared 0.04 0.05 0.04 0.05

Notes: All columns only contain mothers with multiple children. Only children born between 1994 and 2003 are included, due to data restrictions. Models additionally control for mothers’ educational group, age and age squared. Robust standard errors in parentheses.

The data on the different samples is only from the administrative registers. * significant at 5% level; ** significant at 1% level.

Table 10: FE estimation on different samples and using smoking information from administrative registry data only.

(1) Mothers who

participate at least two times in DNBC, only births in the sampling period 1998-2003 – registry

information only

(2) All mothers who have at least two eligible pregnancies in the period 1998-2003, only births in the sampling period 1998-2003 – registry information only

Birth weight, kg Birth weight, kg Smoking indicator (registry

data)

-0.055 -0.080 (0.035) (0.008)**

Cohabitation status 0.083 0.034

(0.051) (0.009)**

Dummy for complicated check up during pregnancy

0.018 0.050 (0.019) (0.005)**

Child’s sex -0.121 -0.132

(0.011)** (0.003)**

# of observations 8419 159745

# of mothers 4368 83836

Standard errors in parentheses. Models additionally control for mothers’ education, age and age squared. * significant at 5% level; ** significant at 1% level

Table 11: IV estimation for maternal smoking, outcome: Birth weight.

OLS OLS OLS IV (for survey report)

IV (for survey report, including missing values in registry as

smoking) Maternal smoking, survey

report

-.20 (0.008)**

-.25 (0.01)**

-.28 (0.01)**

Maternal smoking, registry -.20

(0.008)**

Maternal smoking, Survey=1, registry=1

-.24 (0.009)**

Maternal smoking, survey=1, registry=0

-.08 (0.016)**

Maternal smoking, survey=0, registry=1

-.01 (0.021)

# of children (sample of first born children)

35 270 35 270 35 270 35 270 36 843

Mother FE

Mother FE

Mother FE

FE-IV (for survey report)

IV (for survey report, including missing values in registry as

smoking) Maternal smoking, survey

report

-.107 (0.037)**

-.26 (0.17)

-.36 (0.23) Maternal smoking, registry -.05

(0.036) Maternal smoking,

Survey=1, registry=1

-.14 (0.047)*

Maternal smoking, survey=1, registry=0

-.081 (0.045)

Maternal smoking, survey=0, registry=1

.003 (0.053)

# of children 9 417 9 417 9 417 9 417 9 794

Notes: * significant at 5% level; ** significant at 1% level. OLS regressions contain controls as in Table 3 except for number of cigarettes smoked. FE estimates additionally control for indicator for first-born child.

Department of Economics:

Skriftserie/Working Paper:

2009:

WP 09-1 Tomi Kyyrä, Pierpaolo Parrotta and Michael Rosholm:

The Effect of Receiving Supplementary UI Benefits on Unemployment Duration

ISBN 9788778824035 (print); ISBN 9788778824042 (online) WP 09-2 Dario Pozzoli and Marco Ranzani: Old European Couples’

Retirement Decisions: the Role of Love and Money

ISBN 9788778824165 (print); ISBN 9788778824172 (online) WP 09-3 Michael Gibbs, Mikel Tapia and Frederic Warzynski:

Globalization, Superstars, and the Importance of Reputation:

Theory & Evidence from the Wine Industry

ISBN 9788778824189 (print); ISBN 9788778824196 (online) WP 09-4 Jan De Loecker and Frederic Warzynski: Markups and

Firm-Level Export Status

ISBN 9788778824202 (print); ISBN 9788778824219 (online) WP 09-5 Tor Eriksson, Mariola Pytliková and Frédéric Warzynski:

Increased Sorting and Wage Inequality in the Czech Republic:

New Evidence Using Linked Employer-Employee Dataset ISBN 9788778824226 (print); ISBN 9788778824233 (online) WP 09-6 Longhwa Chen and Tor Eriksson: Vacancy Duration, Wage

Offers, and Job Requirements – Pre-Match Data Evidence ISBN 9788778824240 (print); ISBN 9788778824257 (online) WP 09-7 Tor Eriksson, Valérie Smeets and Frédéric Warzynski: Small

Open Economy Firms in International Trade: Evidence from Danish Transactions-Level Data

ISBN 9788778823861 (print); ISBN 9788778823878 (online) WP 09-8 Dario Pozzoli and Marco Ranzani: Participation and Sector

Selection in Nicaragua

ISBN 9788778823885 (print); ISBN 9788778823892 (online)

WP 09-9 Rikke Ibsen, Frederic Warzynski and Niels Westergård-Nielsen:

Employment Growth and International Trade: A Small Open Economy Perspective

ISBN 9788778823908 (print); ISBN 9788778823915 (online) WP 09-10 Roger Bandick and Holger Görg: Foreign acquisition, plant survival, and employment growth

ISBN 9788778823922 (print); ISBN 9788778823939 (online) WP 09-11 Pierpaolo Parrotta and Dario Pozzoli: The Effect of Learning by Hiring on Productivity

ISBN 9788778823946 (print); ISBN 9788778823953 (online) WP 09-12 Takao Kato and Pian Shu

Peer Effects, Social Networks, and Intergroup Competition in the Workplace

ISBN 9788778823984 (print); ISBN 9788778823991 (online) WP 09-13 Sanne Hiller and Erdal Yalcin: Switching between Domestic Market Activity, Export and FDI

ISBN 9788778824004 (print); ISBN 9788778824028 (online) WP 09-14 Tor Eriksson and Mariola Pytlikova: Foreign Ownership Wage Premia in Emerging Economies: Evidence from Czech Republic ISBN 9788778824035 (print); ISBN 9788778824042 (online) WP 09-15 Astrid Würtz Rasmussen: Family Structure Changes and Children´s Health, Behavior, and Educational Outcomes ISBN 9788778824059 (print); ISBN 9788778824066 (online) WP 09-16 Tor Eriksson: How Many Danish Jobs Can (Potentially) Be

Done Elsewhere?

ISBN 9788778824073 (print); ISBN 9788778824080 (online) WP 09-17 Lorenzo Cappellari, Claudio Lucifora and Dario Pozzoli:

Determinants of Grades in Maths for Students in Economics ISBN 9788778824103 (print); ISBN 9788778824110 (online) WP 09-18 Yingqiang Zhang and Tor Eriksson: Inequality of Opportunity

and Income Inequality in Nine Chinese Provinces, 1989-2006 ISBN 9788778824127 (print); ISBN 9788778824134 (online)

RELATEREDE DOKUMENTER