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12 months |
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Last month |
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12 months |
Total |
A Resource Curse? The impact of oil windfalls on living standards in Brazil |
0 |
0 |
0 |
55 |
0 |
0 |
0 |
125 |
A resource curse? The impact of oil windfalls on living standards in Brazil |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
36 |
Can cities be trapped in bad locations? |
1 |
1 |
1 |
153 |
1 |
1 |
2 |
139 |
Challenges for research on resource-rich economies |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
11 |
Cities and the Sea Level |
0 |
0 |
0 |
15 |
1 |
2 |
3 |
37 |
Cities and the Sea Level |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
18 |
Cities and the Sea Level |
0 |
0 |
0 |
5 |
1 |
1 |
1 |
16 |
Cities and the sea level |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
8 |
Cities and the sea level |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
54 |
Cities and the sea level |
0 |
0 |
6 |
6 |
0 |
0 |
7 |
7 |
Do Giant Oilfield Discoveries Fuel Internal Armed Conflicts? |
0 |
0 |
2 |
76 |
0 |
0 |
4 |
296 |
Do Giant Oilfield Discoveries Fuel Internal Armed Conflicts? |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
121 |
Do Giant Oilfield Discoveries Fuel Internal Armed Conflicts? |
0 |
0 |
0 |
49 |
0 |
0 |
1 |
116 |
Do Oil Windfalls Improve Living Standards? Evidence from Brazil |
0 |
0 |
2 |
125 |
0 |
1 |
5 |
428 |
Do Oil Windfalls Improve Living Standards? Evidence from Brazil |
0 |
0 |
0 |
36 |
0 |
0 |
1 |
187 |
Do Oil Windfalls Improve Living Standards? Evidence from Brazil |
0 |
0 |
0 |
86 |
1 |
1 |
2 |
429 |
Do Oil Windfalls Improve Living Standards? Evidence from Brazil |
0 |
0 |
0 |
28 |
0 |
1 |
2 |
231 |
Do giant oilfield discoveries fuel internal armed conflicts? |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
55 |
Do giant oilfield discoveries fuel internal armed conflicts? |
0 |
0 |
1 |
25 |
0 |
1 |
3 |
68 |
Do oil windfalls improve living standards? Evidence from Brazil |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
198 |
Do oil windfalls improve living standards?: evidence from Brazil |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
98 |
Flooded Cities |
0 |
0 |
0 |
27 |
0 |
4 |
4 |
175 |
Flooded Cities |
0 |
0 |
0 |
24 |
0 |
1 |
3 |
245 |
Flooded Cities |
0 |
0 |
1 |
34 |
0 |
2 |
9 |
272 |
Flooded Cities |
0 |
0 |
0 |
36 |
0 |
0 |
1 |
148 |
Flooded cities |
0 |
0 |
1 |
17 |
0 |
2 |
8 |
111 |
Flooded cities |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
84 |
Flooded cities |
0 |
0 |
0 |
14 |
0 |
1 |
1 |
120 |
Freedom Fries |
0 |
0 |
2 |
66 |
1 |
4 |
15 |
446 |
Freedom Fries |
0 |
0 |
1 |
25 |
1 |
1 |
3 |
173 |
Freedom fries |
0 |
0 |
2 |
5 |
1 |
2 |
5 |
71 |
Giant oilfields and civil conflict |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
15 |
Giant oilfields and civil conflict |
0 |
0 |
1 |
18 |
0 |
0 |
1 |
69 |
Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years |
0 |
0 |
1 |
119 |
0 |
2 |
5 |
466 |
Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years |
1 |
2 |
6 |
46 |
3 |
9 |
38 |
253 |
Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years |
0 |
0 |
2 |
138 |
0 |
1 |
8 |
421 |
Has ICT polarized skill demand? Evidence from eleven countries over 25 years |
0 |
0 |
0 |
59 |
0 |
1 |
3 |
156 |
Has ICT polarized skill demand?: evidence from eleven countries over 25 Years |
0 |
0 |
0 |
7 |
0 |
1 |
5 |
102 |
Identifying Agglomeration Shadows: Long-Run Evidence from Ancient Ports |
0 |
0 |
5 |
5 |
0 |
3 |
40 |
40 |
Identifying Agglomeration Shadows: Long-run Evidence from Ancient Ports |
0 |
0 |
12 |
12 |
0 |
2 |
14 |
14 |
Identifying Agglomeration Shadows: Long-run Evidence from Ancient Ports |
0 |
0 |
15 |
15 |
0 |
1 |
37 |
37 |
Identifying Agglomeration Shadows: Long-run Evidence from Ancient Ports |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
2 |
Identifying agglomeration shadows: Long-run evidence from ancient ports |
0 |
1 |
19 |
19 |
0 |
3 |
45 |
45 |
Identifying agglomeration shadows: long-run evidence from ancient ports |
2 |
17 |
17 |
17 |
0 |
1 |
1 |
1 |
In brief... Is technology to blame for jobless recoveries? |
0 |
0 |
0 |
63 |
0 |
1 |
2 |
71 |
In brief: Freedom fries: When International Relations Damage International Trade |
0 |
0 |
0 |
20 |
0 |
0 |
2 |
69 |
In brief: sharing the fruits of trade |
0 |
0 |
0 |
8 |
0 |
1 |
1 |
38 |
Individual Consequences of Occupational Decline |
0 |
0 |
0 |
15 |
0 |
0 |
4 |
25 |
Individual Consequences of Occupational Decline |
0 |
0 |
0 |
5 |
0 |
1 |
1 |
14 |
Individual Consequences of Occupational Decline |
0 |
0 |
0 |
6 |
0 |
0 |
3 |
25 |
Individual Consequences of Occupational Decline |
0 |
0 |
0 |
23 |
0 |
1 |
3 |
58 |
Individual consequences of occupational decline |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
5 |
Individual consequences of occupational decline |
0 |
0 |
0 |
21 |
0 |
1 |
3 |
79 |
Individual consequences of occupational decline |
0 |
0 |
0 |
1 |
0 |
0 |
25 |
41 |
Is Modern Technology Responsible for Jobless Recoveries? |
0 |
0 |
2 |
65 |
0 |
0 |
3 |
106 |
Is Modern Technology Responsible for Jobless Recoveries? |
1 |
1 |
2 |
70 |
1 |
3 |
6 |
74 |
Is modern technology responsible for jobless recoveries? |
0 |
0 |
1 |
108 |
0 |
1 |
6 |
178 |
Is modern technology responsible for jobless recoveries? |
0 |
0 |
0 |
22 |
0 |
1 |
1 |
57 |
Is modern technology responsible for joblessrecoveries? |
0 |
0 |
0 |
48 |
0 |
1 |
2 |
55 |
Online versus In-Person Services: Effects on Patients and Providers |
0 |
0 |
8 |
8 |
0 |
1 |
6 |
6 |
Online versus In-Person Services: Effects on Patients and Providers |
0 |
0 |
16 |
16 |
0 |
0 |
7 |
7 |
Online versus In-Person Services: Effects on Patients and Providers |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
Online versus in-person services: Effects on patients and providers |
0 |
0 |
4 |
4 |
0 |
1 |
8 |
8 |
Online versus in-person services: effects on patients and providers |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania |
0 |
0 |
0 |
16 |
0 |
2 |
2 |
67 |
Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
95 |
Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania |
0 |
0 |
0 |
25 |
0 |
1 |
1 |
64 |
Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania |
0 |
0 |
3 |
47 |
0 |
1 |
11 |
189 |
Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
127 |
Planning ahead for better neighborhoods: long run evidence from Tanzania |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
72 |
Resetting the Urban Network: 117-2012 |
0 |
0 |
0 |
86 |
0 |
1 |
2 |
154 |
Resetting the Urban Network: 117-2012 |
0 |
0 |
0 |
161 |
0 |
1 |
3 |
408 |
Resetting the Urban Network: 117-2012 |
0 |
0 |
0 |
83 |
0 |
1 |
2 |
121 |
Resetting the urban network: 117-2012 |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
42 |
Rising sea levels and the future of coastal cities |
0 |
0 |
1 |
15 |
0 |
0 |
4 |
8 |
Robots at Work |
0 |
1 |
6 |
270 |
1 |
5 |
25 |
1,013 |
Robots at Work |
0 |
1 |
4 |
185 |
2 |
11 |
38 |
882 |
Robots at Work |
0 |
1 |
8 |
320 |
5 |
10 |
48 |
1,060 |
Robots at work |
0 |
2 |
27 |
140 |
8 |
14 |
68 |
458 |
Robots at work |
0 |
0 |
5 |
95 |
0 |
0 |
15 |
300 |
Robots at work: the impact on productivity and jobs |
4 |
22 |
96 |
1,212 |
15 |
65 |
291 |
2,905 |
Task Specialization in U.S. Cities from 1880-2000 |
0 |
0 |
0 |
69 |
3 |
4 |
6 |
254 |
Task Specialization in U.S. Cities from 1880-2000 |
0 |
0 |
1 |
35 |
0 |
0 |
1 |
132 |
Task Specialization in U.S. Cities from 1880-2000 |
0 |
0 |
0 |
84 |
0 |
0 |
1 |
190 |
Task Specialization in U.S. Cities from 1880-2000 |
0 |
0 |
0 |
28 |
0 |
1 |
1 |
89 |
Task specialization in U.S. cities from 1880-2000 |
0 |
0 |
0 |
4 |
0 |
3 |
3 |
66 |
Task specialization in U.S. cities from 1880-2000 |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
36 |
The Division of Labor, Coordination, and the Demand for Information Processing |
0 |
0 |
0 |
50 |
2 |
3 |
8 |
451 |
The Division of Labour, Coordination, and the Demand for Information Processing |
0 |
0 |
0 |
49 |
1 |
2 |
6 |
321 |
The Effect of Marital Breakup on the Income Distribution of Women with Children |
0 |
0 |
1 |
180 |
0 |
1 |
4 |
867 |
The Effect of Marital Breakup on the Income Distribution of Women with Children |
0 |
0 |
0 |
54 |
0 |
1 |
2 |
285 |
The Effect of Trade on the Demand for Skill - Evidence from the Interstate Highway System |
0 |
0 |
7 |
55 |
0 |
2 |
16 |
237 |
The Effect of Trade on the Demand for Skill - Evidence from the Interstate Highway System |
0 |
1 |
4 |
182 |
2 |
4 |
13 |
681 |
The Long-Term Consequences of Regional Specialization |
0 |
0 |
0 |
95 |
3 |
6 |
20 |
536 |
The Long-Term Consequences of Regional Specialization |
0 |
0 |
0 |
44 |
0 |
1 |
1 |
204 |
The division of labor, coordination, and the demand for information processing |
0 |
0 |
0 |
5 |
0 |
1 |
2 |
44 |
The division of labor, coordination, and the demand for information processing |
0 |
0 |
0 |
4 |
0 |
0 |
2 |
43 |
The doctor will see you now: comparing online and in-person consultations |
1 |
1 |
1 |
1 |
4 |
5 |
5 |
5 |
The effect of marital breakup on the income distribution of women with children |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
71 |
The effect of marital breakup on the income distribution of women with children |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
33 |
The effect of trade on the demand for skill - evidence from the interstate highway system |
0 |
0 |
1 |
6 |
0 |
0 |
3 |
82 |
The effect of trade on the demand for skill - evidence from the interstate highway system |
0 |
0 |
2 |
21 |
0 |
0 |
6 |
107 |
The long term consequences of resource based specialization |
0 |
0 |
0 |
27 |
1 |
4 |
14 |
145 |
The long-term consequences of regional specialization |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
82 |
The shrinking middle |
0 |
0 |
0 |
32 |
0 |
0 |
1 |
112 |
The shrinking middle |
0 |
0 |
0 |
7 |
0 |
1 |
3 |
40 |
Urbanisation and Structural Transformation |
0 |
0 |
5 |
237 |
0 |
0 |
15 |
995 |
Urbanisation and structural transformation |
0 |
1 |
1 |
26 |
0 |
1 |
1 |
115 |
Urbanization and Structural Transformation |
0 |
0 |
1 |
218 |
1 |
2 |
9 |
903 |
When machines replace people: individual consequences of occupational decline |
0 |
0 |
0 |
11 |
1 |
2 |
3 |
37 |
Total Working Papers |
10 |
52 |
304 |
6,316 |
60 |
221 |
1,028 |
22,189 |