| LDR | | 03113nmm uu200469 4500 |
| 001 | | 000000333158 |
| 005 | | 20240805172314 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438290099 |
| 035 | |
▼a (MiAaPQ)AAI10813297 |
| 035 | |
▼a (MiAaPQ)ucdavis:17839 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 330 |
| 100 | 1 |
▼a Archsmith, James Edward. |
| 245 | 10 |
▼a Impacts of Regulation and Benefits of Environmental Quality. |
| 260 | |
▼a [S.l.] :
▼b University of California, Davis.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 269 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A. |
| 500 | |
▼a Adviser: David S. Rapson. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, Davis, 2018. |
| 520 | |
▼a Chapter 1 considers the costs to electricity markets from regulations governing the allowed rate of water discharges, and electricity generation, at hydroelectric dams. I estimate not only the direct impact of these regulations on the dams, but |
| 520 | |
▼a This research has three important conclusions. 1) Regulations can have spill over to unregulated firms whenever producers have convex costs and regulations force the reallocation of output over space or time. Accounting for these spillovers is i |
| 520 | |
▼a Chapter 2, joint with Anthony Heyes and Soodeh Saberian, provides some of the first evidence that poor air quality reduces the labor productivity of workers performing cognitively-intense tasks. We observe hundreds of thousands of decisions by M |
| 520 | |
▼a We find umpires are markedly more likely to make mistakes when ambient levels of carbon monoxide or fine particulates are high, but still below EPA acute exposure standards. We find zero effects for other local criteria pollutants. The estimated |
| 520 | |
▼a Economists often think of products as being substitutes, e.g., owning more of one product may cause a household to own less of its substitute. Households may similarly view attributes of products as substitutes. For example, in response to an in |
| 520 | |
▼a Two factors complicate identification of attribute substitution effects. 1) The timing of a household's decision to replace a vehicle in its portfolio is a function of vehicle attributes. 2) Households have differing tastes for vehicle attribute |
| 520 | |
▼a We find strong evidence of attribute substitution within household vehicle portfolios. Our primary focus is fuel economy, but we observe similar effects in other vehicle attributes such as weight, horsepower, and footprint. Attribute substitutio |
| 590 | |
▼a School code: 0029. |
| 650 | 4 |
▼a Economics. |
| 650 | 4 |
▼a Environmental economics. |
| 690 | |
▼a 0501 |
| 690 | |
▼a 0438 |
| 710 | 20 |
▼a University of California, Davis.
▼b Economics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01A(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0029 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998062
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |