SuperFreakonomics

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SuperFreakonomics Page 27

by Steven D. Levitt


  report cards for, 74–75, 78,121

  strikes by, 81

  as washing hands, 203–8, 209

  women as, 80–81

  Dolin, Eric Jay, 142

  Dr. Leonard’s (health care catalog), 35

  Dr. Who (TV show), 179

  Drake, Edwin L., 143

  drugs

  and cheap and simple fixes, 145–46

  and chemotherapy, 84–86

  and holding off death, 84–86

  and prostitution, 29, 36

  testing for, 92

  drunkenness, 1–3,12,14, 66, 96

  dung, horse, 9–10,12

  “the economic approach,” 12,16

  economics

  Allie’s study of, 56

  and altruism, 105,106–23

  behavioral, 113–23

  experimental, 106–23

  macro-, 16–17, 211

  as male field, 48

  micro-, 211

  predictions concerning, 16–17

  electric shock treatments, 123

  elephants, 15

  emergency medicine, 66–69, 70–82

  Endangered Species Act, 139, 143

  envelope-stuffing experiment, 119–20

  environment. See also climate; global warming/cooling; horses

  Equal Pay Act (1963), 43

  ER One program, 67

  Ericsson, K. Anders, 60–61

  Eriksson, Leif, 189

  Eros.com, 51

  escorts, 49–55

  estate taxes, 83–84

  European Union, child auto safety in, 157

  Everleigh, Ada, 24–25, 26

  Everleigh, Minna, 24–25, 26

  Everleigh Club, 24–25, 26, 33, 34, 51

  experiment(s)

  context of, 122–23

  laboratory, 107–23

  and misinterpretation of data, 120

  natural, 101

  scrutiny during, 121–22

  selection bias in, 121

  See also specific experiment

  externalities, 8,11,171–77, 203, 207

  false positives, 91–92

  family reunions, and prostitution, 42

  famine, 141–42,177

  Fatality Analysis Reporting System (FARS), 152–53,156

  fear, of pilots in World War II, 147

  Federal Communications Commission (FCC), 103

  Feied, Craig, 66–73, 75, 80, 81, 205, 207–8

  feminist revolution, 43–44

  Feynman, Richard, 107

  fibbing, on surveys, 7

  films, influence on behavior of, 15

  financial crisis, 16

  float, hurricane, 160–63, 178, 193

  for-sale-by-owner market (FSBO), 39

  forceps, in childbirth, 140–41

  Ford, Henry II, 158

  Ford Motor Company, 147, 158

  Franklin, Benjamin, 189

  freakonomics, definition of, 13

  Friedman, Milton, 141

  Galileo Galilei, 107

  games

  about altruism, 108–11, 113, 115, 117, 118–20

  See also specific game

  Gandhi, Mohandas, 63

  Gansberg, Martin, 126–27

  “garden hose to the sky.” See Budyko’s Blanket

  Gates, Bill, 178, 180, 195

  Gawande, Atul, 141

  gender issues

  and discrimination, 20–22

  and life expectancy, 20

  and profession, 47–48

  and SAT-style math test, 46

  and sex-change operations, 47–48

  and wages, 21–22, 44, 45–47

  See also women

  General Electric, 190–91

  Genovese, Kitty, murder of, 97–100, 104–5, 106, 110, 125–31

  geoengineering, 191–92, 197, 199, 200, 202, 203. See also Budyko’s Blanket

  germ theory, 138, 204

  Germany, trash-tax avoiders in, 139

  “gifted,” 61

  Gladwell, Malcolm, 99

  global warming/cooling

  activism concerning, 169–71, 199

  and Budyko’s Blanket, 193–99, 200

  and carbon emissions, 11, 166, 171, 173, 182–83, 184–85, 187–88, 192, 199, 203

  and cloud project, 201–2

  and externalities, 172–73

  and greenhouse gases, 166–68, 171, 182–83, 184–85, 188

  IV’s work on, 180–99

  and media, 11, 165

  Myhrvold views about, 202–3

  public awareness about, 196

  and smokestack plan, 200–201

  and sulfur dioxide, 189–90, 191, 192–99, 200–201

  and technological innovation, 11

  and trees, 186

  and volcanic eruptions, 176–77, 188–90, 192

  Weitzman’s views about, 11, 12

  See also climate

  Goldin, Claudia, 21, 45–46

  Gore, Al, 112, 170–71, 173, 181, 184, 196, 198, 200, 203

  Great Depression, 16–17

  greenhouse gases, 166–68,171, 182–83,184–85,188. See also carbon emissions

  Guevara, Che, 63

  handprints, bacteria-laden, 206

  Harvard University, gender wage gap of graduates of, 21

  Hawking, Stephen, 179

  health care

  spending for, 80, 84–85

  See also doctors; emergency medicine; hospitals; medicine

  heart disease, 84

  Hispanics, and prostitution, 35

  HIV and AIDS, 36, 208–9

  Ho Chi Minh, 63

  Hoffman, Mike, 129–30, 131

  Homeland Security, U.S. Department of, 163

  Homo altruisticus, 110–11

  Homo economicus, 106, 110, 112, 113

  horses, 8–10, 12

  Horsley, Ian, 88–90, 91, 92, 94, 95–96

  hospitals

  errors in, 68–69, 72, 204

  report cards for, 75

  See also specific hospital

  Hurricane Katrina, 158

  hurricanes, 158–63,178,193

  Iceland, volcano eruptions in, 189

  Ichino, Andrea, 21–22

  impure altruism, 124–25

  incentives

  and altruism, 125,131

  and annuities, 82

  to change behavior, 203

  and chemotherapy, 85

  and climate change, 173, 203

  and doctors’ behavior, 206

  and drunk driving, 2

  and predicting behavior, 17

  and prostitution, 19–20, 25, 41

  and unintended consequences, 139

  wages as, 46–47

  and women in India, 4

  India

  condoms in, 5, 6

  List in, 115

  television in, 6–8, 12, 14, 16

  TV in, 103

  women in, 3–8, 14

  Indian Council of Medical Research, 5

  Industrial Revolution, 142

  information, medical, 70–74

  input dilemma, 188

  Institute of Medicine, 204

  Intellectual Ventures (IV), 177–203

  pro bono work of, 198–99

  See also specific person or project

  intentions behind an action, 106–7

  Intergovernmental Panel on Climate Change, 184

  International Kidney Exchange, Ltd., 112

  Internet, 39–40, 51

  Iran, organ transplants in, 112, 124–25

  Iraq war, 65, 87

  Ireland, garbage tax in, 139

  Irish Republican Army (IRA), 63

  irrational behavior, 214

  Jacobs, Barry, 112

  Jaws (film), 15

  Jefferson, Thomas, 83

  Jensen, Robert, 6–7

  Johnson, Boris, 170

  Jung, Edward, 178

  Justice Department, U.S., 23

  Kahneman, Daniel, 115

  Katz, Lawrence, 21, 45–46

>   Kay, Alan, 69

  Kennedy, John F., 102

  Kew Gardens (New York City). See Genovese, Kitty, murder of

  Krueger, Alan, 62, 63–64

  Kyoto Protocol, 115

  laboratory experiments

  artificiality of, 123

  and crash-test data, 153–55

  games as, 108–11

  See also specific researcher or experiment

  Lake Toba (Sumatra), volcanic eruption at, 189

  Lakshminarayanan, Venkat, 212

  LaSheena (prostitute), 19–20, 26, 27, 30, 54

  Latham, John, 201, 202

  Latham, Mike, 201

  law of unintended consequences, 138–41

  Leave It to Beaver (TV program), 102

  LeMay, Curtis, 147

  Lenin, Vladimir, 63

  leverage, 193

  Levitt, Steven D., 17

  life expectancy, 20

  life insurance, 94, 200

  life span, extending the, 82–87

  List, John, 113–20, 121, 123, 125

  locavore movement, 166

  LoJack (anti-theft device), 173–75

  London, England, terrorism in, 92

  loss aversion, 214

  Lovelock, James, 166, 170, 177

  Lowell, Mike, 92

  macroeconomics, 16–17, 211

  Madison, Wisconsin, home-sales data in, 39

  Maintenance of Parents Act, Singapore, 106

  Major League Baseball, birthdays among players of, 61, 62

  malaria, experiment about, 177, 180, 181

  manipulation, and altruism, 125

  March of Dimes, 145

  marijuana, 66

  Martinelli, César, 27–28

  Masters, Will, 142

  Matthews, H. Scott, 167

  Mazumder, Bhashkar, 57, 58

  MBA wage study, 45–46

  McCloskey, Deirdre (aka Donald McCloskey), 48

  McNamara, Robert S., 146–48, 150, 155, 158

  media

  and altruism, 107

  and global warming, 11, 165

  shark stories in, 14, 15

  medical information, 70–74

  Medicare, 85

  medicine

  emergency, 66–69, 70–82

  errors in, 68–69, 72, 204

  false positives in, 92

  See also doctors; drugs; hospitals; specific disease

  methane, 170, 188

  Mexico, Oportunidades program in, 27–28

  microeconomics, 211

  Microsoft Corporation, 73–74, 178, 179, 190

  Milgram, Stanley, 123

  military, deaths in, 87

  monkeys, monetary exchange among, 212–16

  Moretti, Enrico, 21–22

  Morris, Eric, 9, 10

  Moseley, Winston, 98, 125–26, 128, 130, 131

  mosquitoes experiment, 177, 180, 181

  Mount Pinatubo (Philippines), 175–77, 190, 191, 196

  Mount St. Helens (Washington), 188, 190

  Mount Tambora (Indonesia), 189

  Murphy, Michael Joseph, 125–26

  Murthy, Rekha, 206

  Myhrvold, Nathan

  and Budyko’s Blanket, 197,198, 199

  and cheap and simple fixes, 179–80

  and geophysical phenomena, 188–89

  and global warming/cooling, 180–88,190,191,192,193, 194,195,197,198,199

  and hurricanes, 159–62,163,178

  personal and professional background of, 178–79

  and scary climate scenarios, 202–3

  Nash, John, 108

  Nathan. See Myhrvold, Nathan

  National Academy of Sciences (NAS), climate change report of, 165, 190, 191

  National Association of Realtors, 56

  National Automobile Dealers Association, 146

  National Foundation for Infant Paralysis, 157

  National Highway Traffic Safety Administration (NHTSA), 151, 152, 153

  National Organ Transplant Act, 112

  National Standardized Child Passenger Safety Training Program, 151

  natural disasters, 175–77

  natural experiments, 101

  Nazis, obeying, 123

  negative externalities, 8, 11, 171–173 203

  neurobiology, as male field, 47–48

  new ideas, as repugnant, 199–200

  New York City

  polio epidemic in, 144

  terrorism in, 66

  See also Genovese, Kitty, murder of

  The New York Times

  climate change story in, 165

  Genovese murder story in, 98, 99, 125–27, 128

  Newsweek magazine, climate change story in, 165, 166

  Nobel Prize, 12, 59, 82, 115, 117, 184, 196, 198

  object-oriented programming, 69, 72

  “ocean acidification,” 183–84

  Olmsted, Frederick Law, 42

  on-the-spot data collection, 28–29, 70–71

  oncologists, 85–86

  Oportunidades (Mexican welfare program), 27–28

  oral sex, 33–34

  organ transplants, 111–13, 124–25, 199–200

  Orne, Martin, 123

  Oshinsky, David M., 144,145

  Oster, Emily, 6–7

  Oswald, Andrew, 82

  output dilemma, 188

  overconsumption, dangers of, 170

  ozone, 190,196,197

  Palestinian suicide bombers, 62–63

  panhandlers, 124

  paper goods delivery, List’s experience with, 117

  parents

  experiment about visiting, 105–6

  and interviews about seat belts, 155–56

  Parker, Susan W., 27–28

  Pasteur, Louis, 204

  perfect substitutes, 37

  pilots, World War II, 147

  “pimpact,” 37, 40

  pimps, 37–38, 40–41, 56

  police

  and increase in crime, 104

  and pimps, 40–41

  and prostitution, 32, 41, 55

  and stolen cars, 174, 175

  and terrorism, 66

  See also Genovese, Kitty

  Policy Implications of Greenhouse Warming (NAS report), 190

  polio, 143–45, 147, 157

  politics, and prostitution, 25

  popular culture, and crime, 100

  population, and cheap and simple fixes, 141–42

  positive externalities, 175, 176

  practice, deliberate, 61

  predictions, economic, 16–17

  pregnancy, of prostitutes, 34

  premarital sex, 31

  President’s Council of Economic Advisors, 115

  price

  for prostitutes, 24–25, 29–30, 33–37, 42, 53–54, 55

  raising, 42

  See also wages

  price insensitive, 54

  principal-agent problem, 41

  prisoners

  and guard-prisoner experiment, 123

  release of, 100–102

  Prisoner’s Dilemma (game), 108

  professions. See careers/professions; specific profession

  prostitutes/prostitution

  and Allie, 49–55

  arrest of, 32, 41

  as career, 54–55

  in Chicago, 23–25, 26–38, 41–42, 50–55, 70–71

  clientele of, xvi, 33, 35

  competition for, 30–31

  and condoms, 36, 53

  data about, 27

  demand for, 43, 54, 55

  and deviant acts, 34

  downside for, 29–30

  and drugs, 29, 36

  and escorts, 49–55

  exit strategy for, 55

  as geographically concentrated, 32–33

  incentives for, 19–20, 25, 41

  and Internet, 40, 51

  legalization of, 55

  male, 36

  monkey, 215, 216

  need for champion for, 31–32

  part-time, 42 />
  as perfect substitutes, 37

  and police, 32, 41, 55

  pregnancy of, 34

  price for, 24–25, 29–30, 33–37, 42, 53–54, 55

  and principal-agent problem, 41

  protection for, 31

  and race, 32–33, 35–36

  Santa-like, 43

  and sellers versus users, 25–26

  street, 36, 41–43, 52, 54, 71

  as trophy wives, 52–53

  and type of tricks, 33–35

  Venkatesh study of, 26–37, 38, 40–42, 70–71

  and violence, 38

  women as dominant in, 23–26, 40

  See also pimps

  puerperal fever, 133–38

  race, and prostitution, 32–33, 35–36

  Ramadan, 57–58, 59

  rational behavior, 122–23, 213–14

  real estate

 

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