| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Quantitative Analysis of Suburbanization and the Diffusion of the Automobile |
0 |
0 |
0 |
70 |
0 |
0 |
25 |
288 |
| A Quantitative Analysis of Suburbanization and the Diffusion of the Automobile |
0 |
1 |
3 |
118 |
0 |
3 |
27 |
655 |
| Accounting for Low Take-up Rates and High Rejection Rates in the U.S. Long-Term Care Insurance Market |
0 |
0 |
0 |
170 |
0 |
1 |
15 |
174 |
| Behavior and the Transmission of COVID-19 |
0 |
0 |
0 |
45 |
0 |
0 |
28 |
110 |
| Cohabitation, Child Development, and College Costs |
0 |
0 |
0 |
0 |
0 |
0 |
10 |
10 |
| Cohabitation, Child Development, and College Costs |
0 |
0 |
4 |
5 |
0 |
0 |
16 |
17 |
| Cohabitation, Child Development, and College Costs |
0 |
0 |
0 |
8 |
0 |
1 |
15 |
27 |
| Estimating and Forecasting Disease Scenarios for COVID-19 with an SIR Model |
0 |
0 |
0 |
80 |
0 |
0 |
13 |
202 |
| Finite State Markov-Chain Approximations to Highly Persistent Processes |
0 |
0 |
1 |
31 |
0 |
1 |
30 |
164 |
| Finite State Markov-Chain Approximations to Highly Persistent Processes |
0 |
0 |
1 |
69 |
0 |
2 |
22 |
215 |
| Finite State Markov-Chain Approximations to Highly Persistent Processes |
0 |
0 |
0 |
103 |
0 |
3 |
36 |
386 |
| Four Stylized Facts about COVID-19 |
0 |
0 |
0 |
9 |
0 |
2 |
41 |
75 |
| Four Stylized Facts about COVID-19 |
0 |
0 |
0 |
30 |
1 |
2 |
14 |
178 |
| Four Stylized Facts about COVID-19 |
0 |
0 |
0 |
37 |
0 |
0 |
11 |
69 |
| How Important Is Health Inequality for Lifetime Earnings Inequality? |
0 |
0 |
3 |
56 |
0 |
1 |
20 |
173 |
| How Important Is Health Inequality for Lifetime Earnings Inequality? |
0 |
0 |
1 |
77 |
1 |
6 |
24 |
164 |
| How Important Is Health Inequality for Lifetime Earnings Inequality? |
0 |
0 |
3 |
43 |
1 |
1 |
17 |
67 |
| How Important Is Health Inequality for Lifetime Earnings Inequality? |
0 |
0 |
2 |
61 |
0 |
1 |
22 |
120 |
| Measuring the Impact of Technological Progress on the Household |
0 |
0 |
1 |
246 |
0 |
0 |
12 |
932 |
| Measuring the Welfare Gain from Personal Computers |
0 |
0 |
0 |
8 |
0 |
0 |
10 |
70 |
| Measuring the Welfare Gain from Personal Computers |
0 |
0 |
2 |
621 |
0 |
1 |
15 |
2,033 |
| Measuring the Welfare Gain from Personal Computers: A Macroeconomic Approach |
0 |
0 |
0 |
33 |
1 |
1 |
10 |
210 |
| Measuring the Welfare Gain from Personal Computers: A Macroeconomic Approach |
0 |
0 |
0 |
48 |
0 |
1 |
13 |
156 |
| Measuring the welfare gain from personal computers: a macroeconomic approach |
0 |
0 |
0 |
14 |
0 |
1 |
9 |
72 |
| Modeling to Inform Economy-Wide Pandemic Policy: Bringing Epidemiologists and Economists Together |
0 |
0 |
0 |
25 |
0 |
2 |
15 |
35 |
| Modeling to Inform Economy-Wide Pandemic Policy: Bringing Epidemiologists and Economists Together |
0 |
0 |
0 |
32 |
0 |
0 |
8 |
69 |
| Modeling to Inform Economy-Wide Pandemic Policy: Bringing Epidemiologists and Economists Together |
0 |
0 |
0 |
10 |
0 |
2 |
12 |
31 |
| Modeling to Inform Economy-Wide Pandemic Policy: Bringing Epidemiologists and Economists Together |
0 |
0 |
0 |
8 |
0 |
3 |
20 |
34 |
| Old, Frail, and Uninsured: Accounting for Puzzles in the U.S. Long-Term Care Insurance Market |
0 |
0 |
2 |
93 |
1 |
6 |
25 |
162 |
| Old, sick, alone, and poor: a welfare analysis of old-age social insurance programs |
0 |
0 |
0 |
88 |
1 |
2 |
18 |
264 |
| Online Appendix to "The Evolution of Health over the Life Cycle" |
0 |
0 |
1 |
22 |
1 |
3 |
9 |
43 |
| Opioids and Post-COVID Labor-Force Participation |
0 |
0 |
0 |
6 |
0 |
0 |
15 |
23 |
| Opioids and Post-COVID Labor-Force Participation |
0 |
0 |
1 |
11 |
0 |
1 |
16 |
22 |
| Opioids and Post-COVID Labor-Force Participation |
0 |
0 |
6 |
24 |
0 |
0 |
38 |
51 |
| Optimal time-consistent taxation with default |
0 |
0 |
0 |
57 |
1 |
1 |
18 |
77 |
| Reforming the US Long-Term Care Insurance Market |
0 |
0 |
0 |
12 |
2 |
8 |
17 |
24 |
| Reforming the US Long-Term Care Insurance Market |
0 |
0 |
1 |
14 |
0 |
1 |
17 |
38 |
| Substance Abuse during the Pandemic: Implications for Labor-Force Participation |
0 |
0 |
0 |
17 |
0 |
1 |
14 |
37 |
| Substance Abuse during the Pandemic: Implications for Labor-Force Participation |
0 |
0 |
0 |
12 |
0 |
0 |
12 |
22 |
| Substance Abuse during the Pandemic: Implications for Labor-Force Participation |
0 |
0 |
0 |
2 |
0 |
2 |
6 |
12 |
| Substance Abuse during the Pandemic: Implications for Labor-Force Participation |
0 |
0 |
0 |
1 |
0 |
1 |
7 |
13 |
| Substance Abuse during the Pandemic: Implications for Labor-Force Participation |
0 |
0 |
2 |
66 |
0 |
1 |
19 |
160 |
| Suburbanization and the Automobile |
0 |
0 |
1 |
177 |
0 |
1 |
18 |
1,071 |
| Suburbanization and the Automobile |
0 |
0 |
3 |
1,267 |
1 |
3 |
21 |
5,605 |
| The Downward Spiral |
0 |
0 |
1 |
5 |
0 |
0 |
6 |
13 |
| The Downward Spiral |
0 |
0 |
9 |
250 |
0 |
0 |
35 |
802 |
| The Downward Spiral |
0 |
0 |
0 |
13 |
0 |
2 |
4 |
9 |
| The Downward Spiral |
0 |
0 |
0 |
18 |
0 |
2 |
25 |
38 |
| The Downward Spiral |
0 |
0 |
0 |
12 |
0 |
0 |
12 |
55 |
| The Downward Spiral |
0 |
0 |
0 |
3 |
0 |
2 |
15 |
24 |
| The Downward Spiral |
0 |
0 |
0 |
5 |
0 |
1 |
10 |
19 |
| The Downward Spiral: A Macroeconomic Analysis of the Opioid Crisis |
0 |
0 |
0 |
19 |
1 |
2 |
9 |
22 |
| The Downward Spiral: A Macroeconomic Analysis of the Opioid Crisis |
0 |
0 |
0 |
5 |
1 |
2 |
11 |
22 |
| The Evolution of Health over the Life Cycle |
0 |
0 |
0 |
36 |
1 |
2 |
15 |
65 |
| The Evolution of Health over the Life Cycle |
0 |
0 |
0 |
59 |
0 |
2 |
19 |
150 |
| The Evolution of Health over the Life Cycle |
0 |
0 |
0 |
7 |
0 |
2 |
22 |
68 |
| The Impact of Medical and Nursing Home Expenses and Social Insurance Policies on Savings and Inequality |
0 |
0 |
0 |
11 |
0 |
0 |
6 |
143 |
| The Impact of Medical and Nursing Home Expenses and Social Insurance Policies on Savings and Inequality |
0 |
0 |
0 |
90 |
0 |
2 |
10 |
482 |
| The Impact of Medical and Nursing Home Expenses and Social Insurance Policies on Savings and Inequality |
0 |
0 |
0 |
51 |
0 |
1 |
21 |
281 |
| The Joint Impact of Social Security and Medicaid on Incentives and Welfare |
0 |
0 |
0 |
34 |
1 |
1 |
10 |
69 |
| The Role of Friends in the Opioid Epidemic |
0 |
0 |
0 |
12 |
0 |
0 |
21 |
33 |
| The Role of Friends in the Opioid Epidemic |
0 |
0 |
0 |
11 |
0 |
2 |
12 |
16 |
| The Role of Friends in the Opioid Epidemic |
0 |
0 |
0 |
0 |
0 |
1 |
16 |
18 |
| The Role of Friends in the Opioid Epidemic |
0 |
0 |
1 |
4 |
0 |
1 |
9 |
15 |
| The Role of Friends in the Opioid Epidemic |
0 |
0 |
1 |
14 |
0 |
0 |
10 |
29 |
| The Role of Friends in the Opioid Epidemic |
0 |
0 |
0 |
7 |
0 |
3 |
18 |
42 |
| The Role of Friends in the Opioid Epidemic |
0 |
0 |
8 |
68 |
0 |
3 |
29 |
123 |
| The Role of Friends in the Opioid Epidemic |
0 |
0 |
0 |
7 |
0 |
0 |
8 |
13 |
| The Role of Friends in the Opioid Epidemic |
0 |
0 |
0 |
7 |
1 |
2 |
16 |
23 |
| The Trend in Retirement |
0 |
0 |
1 |
607 |
0 |
0 |
16 |
2,228 |
| The Trend in Retirement |
0 |
0 |
1 |
50 |
0 |
0 |
15 |
251 |
| The Wife's Protector: A Quantitative Theory Linking Contraceptive Technology with the Decline in Marriage |
0 |
0 |
10 |
221 |
3 |
6 |
49 |
545 |
| The Wife's Protector: A Quantitative Theory Linking Contraceptive Technology with the Decline in Marriage |
0 |
0 |
1 |
40 |
1 |
6 |
19 |
99 |
| The Wife's Protector: A Quantitative Theory Linking Contraceptive Technology with the Decline in Marriage |
0 |
0 |
0 |
14 |
2 |
7 |
23 |
50 |
| The Wife's Protector: A Quantitative Theory Linking Contraceptive Technology with the Decline in Marriage |
0 |
0 |
0 |
12 |
0 |
1 |
16 |
51 |
| The Wife's Protector: A Quantitative Theory Linking Contraceptive Technology with the Decline in Marriage |
0 |
0 |
1 |
36 |
1 |
4 |
15 |
65 |
| The Wife’s Protector: A Quantitative Theory Linking Contraceptive Technology with the Decline in Marriage |
0 |
0 |
0 |
43 |
0 |
2 |
12 |
75 |
| The impact of medical and nursing home expenses and social insurance |
0 |
0 |
0 |
61 |
0 |
1 |
9 |
160 |
| The joint implications of Medicaid and Social Security for savings and welfare |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
53 |
| The role of friends in the opioid epidemic |
0 |
0 |
0 |
2 |
0 |
1 |
12 |
23 |
| Total Working Papers |
0 |
1 |
72 |
5,760 |
23 |
127 |
1,338 |
20,534 |
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