| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Cautionary Note on Using Industry Affiliation to Predict Income |
0 |
0 |
0 |
5 |
1 |
1 |
1 |
67 |
| A Cautionary Note on Using Industry Affiliation to Predict Income |
0 |
0 |
0 |
10 |
6 |
8 |
11 |
89 |
| A Cautionary Note on Using Industry Affiliation to Predict Income |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
70 |
| A Cautionary Note on Using Industry Affiliation to Predict Income |
0 |
0 |
0 |
2 |
0 |
0 |
2 |
40 |
| A cautionary note on using industry affiliation to predict income |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
32 |
| Do People Seek to Maximize Their Subjective Well-Being? |
0 |
0 |
1 |
53 |
0 |
0 |
2 |
94 |
| Do People Seek to Maximize Their Subjective Well?Being? |
0 |
1 |
2 |
68 |
1 |
3 |
11 |
171 |
| Do people seek to maximize their subjective well-being? |
0 |
0 |
0 |
33 |
0 |
1 |
3 |
48 |
| Economic vs. Epidemiological Approaches to Measuring the Human Capital Impacts of Infectious Disease Elimination |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
9 |
| Economic vs. Epidemiological Approaches to Measuring the Human Capital Impacts of Infectious Disease Elimination |
0 |
0 |
0 |
4 |
0 |
2 |
7 |
21 |
| Germs in the Family: The Short- and Long-Term Consequences of Intra-Household Disease Spread |
0 |
0 |
0 |
12 |
2 |
5 |
8 |
29 |
| Income and Population Growth |
0 |
0 |
0 |
142 |
2 |
4 |
8 |
573 |
| Inequality in Mortality between Black and White Americans by Age, Place, and Cause, and in Comparison to Europe, 1990-2018 |
0 |
0 |
0 |
24 |
2 |
5 |
7 |
53 |
| Inequality in Mortality between Black and White Americans by Age, Place, and Cause, and in Comparison to Europe, 1990-2018 |
0 |
0 |
0 |
9 |
3 |
3 |
3 |
17 |
| Inequality in Mortality between Black and White Americans by Age, Place, and Cause, and in Comparison to Europe, 1990-2018 |
0 |
0 |
0 |
4 |
3 |
4 |
5 |
28 |
| Inequality in Mortality: Updated Estimates for the United States, Canada and France* |
0 |
0 |
0 |
17 |
3 |
6 |
8 |
28 |
| Inequality in Mortality: Updated Estimates for the United States, Canada and France* |
0 |
0 |
0 |
12 |
0 |
0 |
2 |
35 |
| Inequality in mortality between Black and White Americans by age, place, and cause and in comparison to Europe, 1990 to 2018 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
5 |
| Inequality in mortality between Black and White Americans by age, place, and cause and in comparison to Europe, 1990 to 2018 |
0 |
0 |
0 |
8 |
3 |
5 |
5 |
26 |
| Inequality in mortality between Black and White Americans by age, place, and cause and in comparison to Europe, 1990 to 2018 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
| Inequality in mortality between Black and White Americans by age, place, and cause and in comparison to Europe, 1990 to 2018 |
0 |
0 |
0 |
5 |
1 |
5 |
8 |
23 |
| Local Exposure to School Shootings and Youth Antidepressant Use |
0 |
0 |
0 |
28 |
1 |
1 |
7 |
74 |
| Local Exposure to School Shootings and Youth Antidepressant Use |
0 |
1 |
2 |
9 |
1 |
5 |
12 |
24 |
| Local Exposure to School Shootings and Youth Antidepressant Use |
0 |
0 |
0 |
50 |
2 |
3 |
4 |
58 |
| Mortality Inequality in Canada and the U.S.: Divergent or Convergent Trends? |
0 |
0 |
0 |
65 |
2 |
3 |
3 |
52 |
| Mortality Inequality: The Good News from a County-Level Approach |
0 |
0 |
0 |
46 |
1 |
2 |
2 |
110 |
| Mortality Inequality: The Good News from a County-Level Approach |
0 |
0 |
0 |
58 |
0 |
0 |
1 |
96 |
| Mortality inequality: the good news from a county-level approach |
0 |
0 |
0 |
15 |
3 |
4 |
4 |
52 |
| Pauvreté, Egalité, Mortalité: Mortality (In)Equality in France and the United States |
0 |
0 |
0 |
24 |
1 |
1 |
2 |
38 |
| Pauvreté, Egalité, Mortalité: Mortality (In)Equality in France and the United States |
0 |
0 |
0 |
2 |
1 |
2 |
2 |
33 |
| Pauvreté, Egalité, Mortalité: Mortality (In)Equality in France and the United States |
0 |
0 |
0 |
16 |
4 |
6 |
7 |
42 |
| Pauvreté, Egalité, Mortalité: Mortality (In)Equality in France and the United States |
0 |
0 |
0 |
19 |
2 |
6 |
7 |
63 |
| Pauvreté, Egalité, Mortalité: Mortality (In)Equality in France and the United States |
0 |
0 |
0 |
34 |
1 |
1 |
1 |
34 |
| Pauvreté, Egalité, Mortalité: mortality (in)equality in France and the United States |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
15 |
| Pauvreté, Egalité, Mortalité: mortality (in)equality in France and the United States |
0 |
0 |
0 |
0 |
2 |
2 |
2 |
15 |
| Pauvreté, Egalité, Mortalité: mortality (in)equality in France and the United States |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
35 |
| Pauvreté, Egalité, Mortalité: mortality (in)equality in France and the United States |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
20 |
| Poorly Measured Confounders Are More Useful on the Left Than on the Right |
0 |
0 |
0 |
6 |
0 |
1 |
2 |
53 |
| Poorly Measured Confounders are More Useful on the Left Than on the Right |
0 |
0 |
0 |
51 |
1 |
3 |
6 |
48 |
| Poorly measured confounders are more useful on the left than on the right |
0 |
0 |
0 |
0 |
7 |
7 |
7 |
23 |
| Poorly measured confounders are more useful on the left than on the right |
0 |
0 |
0 |
2 |
2 |
2 |
4 |
28 |
| Poorly measured confounders are more useful on the left than on the right |
0 |
0 |
1 |
5 |
3 |
6 |
10 |
55 |
| Poverty and Health |
0 |
2 |
5 |
29 |
0 |
6 |
16 |
33 |
| Pregnancy during the Pandemic |
0 |
0 |
0 |
9 |
1 |
2 |
4 |
52 |
| Short and Long-Term Effects of Unemployment on Fertility |
0 |
0 |
1 |
40 |
0 |
4 |
7 |
369 |
| Short and Long-Term Effects of Unemployment on Fertility |
0 |
0 |
0 |
50 |
2 |
2 |
7 |
75 |
| Short and long-term effects of unemployment on fertility |
0 |
0 |
0 |
33 |
1 |
1 |
5 |
81 |
| Socio-Economic Decline and Death: The Life-Cycle Impacts of Recessions for Labor Market Entrants |
1 |
1 |
1 |
52 |
4 |
5 |
10 |
224 |
| Socioeconomic Decline and Death: Midlife Impacts of Graduating in a Recession |
0 |
0 |
0 |
25 |
1 |
4 |
10 |
48 |
| Socioeconomic Decline and Death: Midlife Impacts of Graduating in a Recession |
0 |
0 |
0 |
20 |
2 |
4 |
7 |
56 |
| The 9/11 Dust Cloud and Pregnancy Outcomes: A Reconsideration |
0 |
0 |
1 |
120 |
3 |
6 |
8 |
184 |
| The COVID-19 Baby Bump: The Unexpected Increase in U.S. Fertility Rates in Response to the Pandemic |
0 |
0 |
0 |
18 |
1 |
3 |
10 |
27 |
| The Covid-19 Baby Bump: The Unexpected Increase in U.S. Fertility Rates in Response to the Pandemic |
0 |
0 |
0 |
9 |
1 |
1 |
5 |
33 |
| The Covid-19 Baby Bump: The Unexpected Increase in U.S. Fertility Rates in Response to the Pandemic |
0 |
0 |
0 |
18 |
7 |
8 |
9 |
26 |
| The Impact of Car Pollution on Infant and Child Health: Evidence from Emissions Cheating |
0 |
0 |
2 |
49 |
2 |
4 |
13 |
100 |
| The Impact of Car Pollution on Infant and Child Health: Evidence from Emissions Cheating |
0 |
1 |
8 |
123 |
3 |
9 |
28 |
197 |
| The Impact of Car Pollution on Infant and Child Health: Evidence from Emissions Cheating |
0 |
0 |
1 |
43 |
2 |
8 |
16 |
156 |
| The Lasting Legacy of Seasonal Influenza: In-Utero Exposure and Labor Market Outcomes |
0 |
0 |
0 |
27 |
3 |
5 |
7 |
70 |
| The Lasting Legacy of Seasonal Influenza: In-Utero Exposure and Labor Market Outcomes |
0 |
0 |
1 |
55 |
1 |
3 |
6 |
58 |
| The Lasting Legacy of Seasonal Influenza: In-utero Exposure and Labor Market Outcomes |
0 |
0 |
1 |
67 |
1 |
2 |
10 |
205 |
| The Opioid Epidemic Was Not Caused by Economic Distress But by Factors that Could be More Rapidly Addressed |
0 |
0 |
0 |
68 |
4 |
5 |
10 |
210 |
| The Opioid Epidemic Was Not Primarily Caused by Economic Distress But by Other Factors that Can be More Readily Addressed |
0 |
0 |
2 |
40 |
2 |
4 |
9 |
77 |
| The Youngest Get the Pill: ADHD Misdiagnosis and the Production of Education in Germany |
0 |
0 |
0 |
29 |
4 |
7 |
11 |
52 |
| The Youngest Get the Pill: ADHD Misdiagnosis and the Production of Education in Germany |
0 |
1 |
2 |
36 |
3 |
7 |
12 |
73 |
| The youngest Get the Pill: ADHD Misdiagnosis and the Production of Education in Germany |
0 |
0 |
0 |
28 |
2 |
4 |
8 |
105 |
| The youngest get the pill: ADHD misdiagnosis in Germany, its regional correlates and international comparison |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
55 |
| Trauma at School: The Impacts of Shootings on Students' Human Capital and Economic Outcomes |
0 |
0 |
0 |
19 |
2 |
3 |
5 |
133 |
| Trauma at School: The Impacts of Shootings on Students' Human Capital and Economic Outcomes |
0 |
1 |
5 |
57 |
2 |
7 |
41 |
289 |
| Trauma at School: The Impacts of Shootings on Students’ Human Capital and Economic Outcomes |
0 |
0 |
1 |
10 |
1 |
2 |
7 |
27 |
| Unlucky Cohorts: Estimating the Long-term Effects of Entering the Labor Market in a Recession in Large Cross-sectional Data Set |
0 |
0 |
0 |
24 |
2 |
2 |
5 |
77 |
| Unlucky Cohorts: Estimating the Long-term Effects of Entering the Labor Market in a Recession in Large Cross-sectional Data Sets |
0 |
1 |
2 |
41 |
2 |
3 |
8 |
74 |
| Unlucky Cohorts: Estimating the Long-term Effects of Entering the Labor Market in a Recession in Large Cross-sectional Data Sets |
0 |
0 |
2 |
92 |
0 |
1 |
4 |
195 |
| Unmet Aspirations as an Explanation for the Age U-Shape in Human Wellbeing |
0 |
0 |
0 |
29 |
0 |
0 |
1 |
77 |
| Unmet Aspirations as an Explanation for the Age U-Shape in Human Wellbeing |
1 |
1 |
4 |
59 |
2 |
2 |
16 |
195 |
| Unmet Aspirations as an Explanation for the Age U-shape in Human Wellbeing |
0 |
0 |
0 |
44 |
0 |
0 |
2 |
175 |
| Unmet Aspirations as an Explanation for the Age U-shape in Wellbeing |
1 |
1 |
1 |
37 |
3 |
5 |
6 |
110 |
| Unmet aspirations as an explanation for the age u-shape in human wellbeing |
0 |
0 |
0 |
4 |
3 |
5 |
7 |
48 |
| Wealth Shocks and Health Outcomes: Evidence from Stock Market Fluctuations |
0 |
0 |
1 |
52 |
6 |
7 |
11 |
146 |
| Wealth Shocks and Health Outcomes: Evidence from Stock Market Fluctuations |
0 |
0 |
0 |
54 |
1 |
1 |
2 |
70 |
| Wealth Shocks and Health Outcomes: Evidence from Stock Market Fluctuations |
1 |
2 |
2 |
57 |
2 |
4 |
6 |
89 |
| Wealth shocks and health outcomes: evidence from stock market fluctuations |
0 |
0 |
1 |
17 |
4 |
4 |
7 |
65 |
| Total Working Papers |
4 |
13 |
50 |
2,434 |
144 |
264 |
543 |
6,767 |
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