Sunday, October 28, 2007
Where have all the oil shocks gone?
We economists do not have a complete answer, but we have some clues. One important clue is below (via Carpe Diem):

El Quinto Pino
401 West 24th Street, Chelsea; (212) 206-6900.
BEST DISHES Olives, white anchovies, sautéed shrimp, sautéed chickpeas, uni panini, fried cod.
PRICE RANGE All dishes $3 to $15.
CREDIT CARDS All major cards.
HOURS 5 p.m. to midnight Sunday through Thursday; to 1 a.m. Friday and Saturday.
WASHINGTON -- On the afternoon of Thursday, Aug. 9, with a panic driving up short-term interest rates in Europe and the U.S., Federal Reserve Chairman Ben Bernanke's office became a war room. His closest advisers took seats in the burgundy leather chairs around a coffee table or telephoned in from their now-aborted vacations.
Mr. Bernanke, a former academic vaulted 18 months earlier to the world's most powerful economic job, was seeking counsel from colleagues of all stripes, from a thirtysomething former investment banker to a Federal Reserve veteran of nearly four decades who had participated in almost every important Fed decision of the past 20 years. He pushed them to spit out as much information as possible about the day's events. What, he asked, do we know? What must we learn? And what are our options?
Julie J. Rehmeyer
Predicting the future is not very hard, according to Bruce Bueno de Mesquita: a little mathematics is all you need. Figuring out how to manipulate a situation to achieve specific aims is a bit less straightforward, but Bueno de Mesquita says his mathematical tools can usually do that, too.
The New York University political science professor has developed a computerized game theory model that predicts the future of many business and political negotiations and also figures out ways to influence the outcome. Two independent evaluations, one by academics and one by the U.S. Central Intelligence Agency, have both shown that about 90 percent of his predictions have been accurate. Most recently, he has used his mathematical tools to offer approaches for handling the growing nuclear crisis with Iran.
Bueno de Mesquita provides the computer tools, but he relies on political or business experts to identify specific issues, their possible outcomes, and the key players. He asks experts narrow, carefully delineated questions about which outcome each player would prefer, how important the issue is to each player, and how much influence each player can exert. But he does not ask about the history of the conflict, the cultural norms of the area, or what the experts think will happen.
With careful interviewing, Bueno de Mesquita finds that he can get experts to agree on what information the model needs as input, even when the experts disagree sharply on expected outcomes. Once, after generating a report for the CIA using information from the agency's experts, he had his students assemble the same information from news reports. "Over 90 percent of them came up with the same results as I got [when I was] locked in a lead-lined vault at the CIA headquarters," Bueno de Mesquita says. "It's basic information that experts agree on and that you can even find in The Economist."
Bruce Bueno de Mesquita has led a shift in political science toward quantitative models. Analyses of his model of political decision-making show that it has a 90 percent accuracy rate. |
The elements of the model are players standing in for the real-life people who influence a negotiation or decision. At each round of the game, players make proposals to one or more of the other players and reject or accept proposals made to them. Through this process, the players learn about one another and adapt their future proposals accordingly. Each player incurs a small cost for making a proposal. Once the accepted proposals are good enough that no player is willing to go to the trouble to make another proposal, the game ends. The accepted proposals are the predicted outcome.
To accommodate the vagaries of human nature, the players are cursed with divided souls. Although all the players want to get their own preferred policies adopted, they also want personal glory. Some players are policy-wonks who care only a little about glory, while others resemble egomaniacs for whom policies are secondary. Only the players themselves know how much they care about each of those goals. An important aspect of the negotiation process is that by seeing which proposals are accepted or rejected, players are able to figure out more about how much other players care about getting their preferred policy or getting the glory.
The details of his study of negotiation options with Iran are classified, but Bueno de Mesquita says that the broad outline is that there is nothing the United States can do to prevent Iran from pursuing nuclear energy for civilian power generation. The more aggressively the U.S. responds to Iran, he says, the more likely it is that Iran will develop nuclear weapons. The upshot of the study, Bueno de Mesquita argues, is that the international community needs to find out if there is a way to monitor civilian nuclear energy projects in Iran thoroughly enough to ensure that Iran is not developing weapons.
One of his most famous past predictions also concerned Iran. In 1984, the model predicted that when Ayatollah Khomeini died, an ayatollah named Hojatolislam Khameini and a little-known cleric named Hasheimi Rafsanjani would rise to succeed Khomeini as leaders of Iran. At the time, most experts considered that outcome exceedingly unlikely, since Khomeini had designated a different person as his successor. But in fact, when Khomeini died five years later, Rafsanjani and Khameini succeeded him.
Bueno de Mesquita says he also predicted that Andropov would succeed Brezhnev long before experts considered it likely. He foresaw that China would reclaim Hong Kong 12 years before it happened, and he predicted that France would narrowly pass the European Union's Maastricht Treaty.
Former CIA analyst Stanley Feder says that he has used Bueno de Mesquita's model well over a thousand times since the early 1980s to make predictions about specific policies. Like others, he has found it to be more than 90 percent accurate. In situations where predictions of the model differed from experts' predictions, the model always turned out to be correct.
"I'm always stunned that it works so well," Bueno de Mesquita says. "This 90 percent is not my assessment."
The main reason that the model generates more reliable predictions than experts do is that "the computer doesn't get bored, it doesn't get tired, and it doesn't forget," he says. In the analysis of nuclear technology development in Iran, for example, experts identified 80 relevant players. Because no individual can keep track of all the possible interactions between so many players, human analysts focus on five or six key players. The lesser players may not have a lot of power, Buena de Mesquita says, but they tend to be knowledgeable enough to influence how key decision-makers understand the issues. His model can keep track of those influences when a human can't.
"Given expert input of data for the variables for such a model, it would not surprise me in the least to see that it would perform well," says Branislav L. Slantchev, a political scientist and game theorist at the University of California at San Diego. Predictions based on game theory can fail in a context where people don't act rationally, but in Buena de Mesquita's work, Slantchev says, rational action mostly means that the players are promoting their own perceived interests as best they can, something humans tend to do.
However, he points out that the model relies on having a considerable amount of expert input. "Honestly, if you had all this information," Slantchev says, "you should be able to predict fairly well how the issue would be resolved." The main reason that the model does this better than experts is that it "strips ideological blindfolds, cultural prejudice, and normative commitments that very often color the view of experts."
Buena de Mesquita offers his services through Mesquita and Roundell, a company he founded that uses his model to advise businesses and governments. "It's pretty exciting when you sit down with a client," he says, "and you know that they're making decisions involving life and death questions or billions of dollars, and at the end of the day they are relying on a body of equations."
If you would like to comment on this article, please see the blog version.
References:
Bueno de Mesquita, B. 1997. A decision making model: Its structure and form. International Interactions 23:233-251.
McGurn, W. 1996. We warned you. Far Eastern Economic Review 159(June 13):68.
Further Readings:
Lerner, M.A.M. 2007. The new Nostradamus. Good Magazine (Oct. 1). Available at http://www.goodmagazine.com/section/
Features/the_new_nostradamus.
A report to be issued this coming week by the IMF (the technical analysis was released early) shows that greater globalization during the past two decades contributed significantly to rising inequality during this period in most developing as well as developed countries. The media greeted this conclusion about the connection between inequality and globalization with claims that the new report is "handing critics of globalization a powerful weapon" and "The report is an unusual admission by the IMF of the downsides of globalization" (Wall Street Journal, October 10, p.9). Yet a careful evaluation of the report's findings on income and inequality provides in most respects an optimistic assessment of the effects of globalization on developing nations.
The report analyzes what happened to incomes and inequality in over 50 countries. It finds that essentially all these countries had large increases in per capita incomes since the early 1980's. While the growth was positive at different income levels, including those at the very bottom, income growth was not uniform among different skills, or at different parts of the income distribution. Incomes grew faster for the more skilled and in higher income quintiles, which implies that various measures of inequality typically increased in developing nations.
To explain these results, the IMF authors divide the effects of greater globalization into expanded world trade, greater foreign investment, and increased transfers of modern technologies. They find that all three dimensions of globalization tended to increase per capita incomes of both developing as well as developed countries. International trade theory implies that trade by a poorer country would increase the relative earnings of its lower skilled workers because richer countries want products from poorer countries that use relatively large quantities of unskilled workers, such as textiles. The report's evidence quite strongly supports this building block of trade theory: greater trade alone would have lowered earnings inequality within developing countries.
However, the most powerful effect on inequality from globalization is due to transfers of modern technologies. The evidence from developed economies has been that modern technologies, like the computer and Internet, favor more educated and other skilled workers; in economic parlance, that these technologies are skill biased. This effect of technological progress has been used to explain the sharply rising gap in earnings between college graduates and others during the past three decades in the United States (see my discussion of inequality in the blog entries for April 23 and December 10, 2006). Not surprisingly, the IMF's study finds that a similar skill bias applies to international technology transfers, that they raised the earnings gap between more skilled and less skilled workers in developing countries. In other words, foreign direct investment has a skill bias too, so that its sharp growth over the past 25 years raised inequality in developing countries. Better capital markets had a similar effect on inequality. However, the evidence in this report indicates that the effects on inequality due to foreign investment and capital market liberalization, while not minor, were much smaller than the effects of technology transfers.
Is this greater gap between the earnings of more and less skilled workers a good or bad result of globalization? Let us accept that greater inequality is not good, other things the same, but other things are different in the IMF results on inequality. The increased earnings gap between persons with more and less education in developing countries reflects that the earnings of more educated individuals rose faster than the earnings of the less educated. The IMF report clearly shows that generally the poorer and less educated in developing nations also became better off in that they have more to spend on food, shelter, health, automobiles, and the other goods that they desire. This improvement in wellbeing at the lower end of the income distribution surely should count as a benefit of globalization.
The larger earnings gap by education essentially means that the returns on investments in schooling increased. Few critics of globalization would claim that its effects were bad if globalization significantly raised the returns to financial or physical capital owned by local investors in developing countries. So how can one complain that globalization is bad because it raises the returns on the education of local human capital investors? Higher returns to human capital investments as well as greater returns to plant and equipment mean that the economy is more productive, which should be a welcome development to poorer as well as richer countries.
Yet intellectuals and politicians in many countries of Latin America, Africa, and even parts of Asia have heavily criticized globalization and its effects. I believe that developing countries in which the criticisms are strongest are generally countries that have done a bad job of educating its population. Higher returns on investments in education and other human capital are small comfort to the children of poor families who often do not have easy access to secondary schools, let alone to universities and other forms of advanced investments in human capital. The lesson of the IMF report and other studies is that globalization is not the source of these serious problems. Rather, the lesson is that many developing countries have to do much more to open up access to better and greater education for children coming from lower income families. Only then would these families be able to take advantage of the higher returns to education produced by greater trade and the inflow into their economies of modern technologies and foreign capital.
Posted by becker at 07:44 PM | Comments (35) | TrackBack (0)
Becker has accurately summarized the International Monetary Fund's recent report on the effect of globalization (meaning increased integration of the world's economy) on inequality. (It is chapter 4 of the IMF's "World Economic Outlook" published this month and available online at http://www.imf.org/external/pubs/ft/weo/2007/02/pdf/c4.pdf.) In essence, the report, while acknowledging serious data limitations, finds that average incomes have increased significantly in most nations in recent decades, but that income inequality has also increased in most nations, mainly because of disproportionate increases in the incomes of the top fifth of the populations. The incomes of the other quintiles have increased too, but not as fast, so that overall the gap between rich and poor has increased although the poor are better off--just not as better off. Both the increase in average incomes, and especially the increase in inequality, are driven mainly, the report finds, by increased utilization of advanced technology, which increases the returns to high-skilled workers relative to the returns to low-skilled or unskilled ones. The report suggests that greater investment in education would tend to reduce inequality by increasing the proportion of high-skilled workers.
I want to question three assumptions of the IMF report. The first is that increased income inequality is a bad thing, the second is that an increase in world average incomes is a good thing, and the third is that greater investments in education are bound to reduce inequality.
I do not think that increased income inequality is bad (regrettable, unfortunate, deplorable, etc.), in general (an important qualification, relaxed below), when it does not involve any reduction in the incomes of a substantial fraction of the population. Suppose that over some period the average income of people in the bottom four quintiles of a nation's income distribution increases by 2 percent and the average income of people in the top quintile increases by 10 percent. The result is increased income inequality, but so what? Everyone is better off, and why should the fact that the rich are better off by a larger percentage concern anyone? What is true is that if the baseline is extreme inequality and many people are below the poverty level, a further increase in inequality can be politically destabilizing. Suppose 99 percent of a nation's people live in poverty and the other 1 percent are rich and over some period the average income of the 99 percent rises barely at all, lifting few above the poverty level, while the average income of the 1 percent who are already rich doubles. Such a pattern would exacerbate what would doubtless already be a high degree of social unrest. I argued in my blog post of December 10, 2006, that the continuing enrichment of the already superrich stratum of the American population is a potential source of political problems too. But concern with the impact of particular forms and degrees of inequality in particular countries at particular junctures in their history does not justify concern with a rise in inequality in the world as a whole, an approach that while natural for the IMF to take treats the entire world as if it were a single nation, thus abstracting from particular circumstances of particular nations, though it is the particulars that determine whether inequality is a serious problem.
It might be argued that, given diminishing marginal utility of income, average and total human happiness would be increased if the incomes of the poor grew more rapidly than those of the rich, because presumably an extra dollar confers less utility on a rich person than on a poor one. But this observation would be pertinent only if rising inequality were a product of unsound policies, whereas the IMF report attributes it to economic factors, such as technological progress and absence of barriers to foreign investment, that are vital to continued growth in average incomes. The poor, unless consumed by envy, are not made better off by policies that leave them as poor (or make them even poorer) but reduce the incomes of the rich.
Concern with inequality, it should be noted, is distinct from concern with poverty. It would be possible to alleviate poverty without reducing the share of income going to the wealthiest quintile of the population. Focusing on quintiles tends to break the link between equality and welfare. Suppose some adjustment in the tax code resulted in reducing the average income of persons earning $100,000 a year by 2 percent and increasing the average income of persons earning $50,000 a year by 1 percent (the difference reflecting the much larger number of persons in the lower income bracket and the deadweight cost of the tax increase on the higher-income taxpayers); would that increase average happiness? I doubt it.
My second proposition is that, while again it is natural for an international organization like the IMF to consider increased global wealth a very good thing, there is no reason for any given individual to think that. None of us is a citizen of the world. We are citizens of particular countries, and our personal welfare is bound up with the welfare of our country rather than with that of the world as a whole. Do Americans benefit from the rapidly increasing wealth of China? Some do, of course, both as consumers and as suppliers. But there many losers (besides the obvious ones--those who make products that compete with imports to the United States from China), since China's rapid growth has increased the price of commodities such as oil, severely aggravated the problem of global warming, and contributed to the rapid growth of Chinese military power, which is a potential danger to the United States. Russia's increasing wealth has made Russia more bellicose and less friendly to the United States; and, in general, nations such as Russia that are rich in natural resources, especially oil, are not dependable allies of the United States--and they are all growing richer. And the technological progress that is such a big factor in increased world wealth makes international terrorism more dangerous than it would otherwise be. Where would terrorists be without cellphones, the internet and web, and cheap international air fares?
Third, it is not certain that increased investments in education would result in less inequality. There is the cost of such investments to consider, and who within a society would bear that cost. (Taxpayer-subsidized tuition for students at Berkeley does not increase income equality in the United States.) One must also consider who would benefit the most from education. Suppose everyone in a nation had the identical opportunity to obtain as much education as he or she could benefit from. The abler students would receive a better education than the less able, and the preexisting inequality of human capital might persist or even increase. For notice that in the United States income inequality has been growing even though educational opportunities are abundant, with more than a third of the population obtaining some college education; most of the rest could obtain it as well if they thought they would benefit from it. Presumably, then, the countries that ought to be considering greater investment in education for the sake of reducing income inequality are those in which that inequality is greater than it is in the United States. In countries in which it is less, a greater investment in education would increase average incomes but might leave inequality unchanged--or even increase it to the U.S. level.
Posted by Richard Posner at 07:27 PM | Comments (37) | TrackBack (0)
« Soccer as a window on globalization Main
This time it's off to the University of Illinois at Urbana-Champaign, where I will be giving a talk at the dedication of the University's Cline Center for Democracy. The Cline Center has a major research project called the Societal Infrastructures and Development (SID) project. It is a very ambitious undertaking devoted to nothing less than answering the question: "How can we enhance the quality of life for people throughout the world?"
Two data-gathering exercises being carried out under the project's umbrella seem particularly interesting:
the Comparative Constitutions Project and the Event Analysis. The constitutions project involves the systematic collection, translation, digitization and coding of every constitution in the world since 1789. It provides a wide array of comparative data on the formal institutional designs adopted by nations at different points in time. It also provides valuable data on national contexts.
The event analysis involves the collection, digitization, classification and analysis of an imposing array of newspaper reports of relevant events for every nation in the SID research design since January 1, 1946. Currently an archive of over 30,000,000 news reports has been assembled, with thousand of reports being added daily.
The project's conceptual framework looks, well, comprehensive. I look forward to learning more about it during my visit.
Posted at 04:21 AM Permalink
Ian Ayres of Yale University Law School talks about the ideas in his new book, Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart. Ayres argues for the power of data and analysis over more traditional decision-making methods using judgment and intuition. He talks with EconTalk host Russ Roberts about predicting the quality of wine based on climate and rainfall, the increasing use of randomized data in the world of business, the use of evidence and information in medicine rather than the judgment of your doctor, and whether concealed handguns or car protection devices such as LoJack reduce the crime rate. The podcast closes with a postscript by Roberts challenging the use of sophisticated statistical techniques to analyze complex systems.
Listen to this podcast:
|
Readings and Links related to this podcast:
Time Mark | Highlights |
---|---|
0:36 | Intro. Data and statistics. What is the case for super crunching? Orley Ashenfelter wine example. Multivariate regression to try to find underlying relations between rainfall and weather and quality of the wine. Surprisingly accurate. Can't drink Bordeaux for several months. Robert Parker, traditional wine taster, originally dismissive of Ashenfelter, but has started incorporating weather into his predictions. Statistics did better than experts, but traditional experts resist the new breed of number-crunchers. Ignaz Semmelweis, doctor who discovered doctors' hand-washing helped save mothers in childbirth. Resisted by medical profession. Even today doctors tend to go from one patient to the next without washing their hands. Business leaders, Wal-mart and hurricanes example. Statistical analysis of consumer purchases after hurricanes. Story goes that statistically included pop-tarts, so they stock up on pop-tarts before hurricanes--urban myth? Does putting beer and diapers together in quick-purchase stores increase sales or is it an urban myth? Grocery store layouts, toothpaste vs. toothbrush placements. Weinberger podcast. |
10:54 | Randomized experiments. Why when you call a credit card company do they ask in a recording for some info and then ask you again? The recording is not telling the agent the info. Why not? Capital One example. What kind of products and services do you want? What you type in during the initial phone contact affects the routing of your call. Prediction, up-selling. Computer calculates even the interest rates you are offered by the representative. Randomized experiments based on mass mailings test what kinds of promotions work best: kitten picture vs. puppy picture? 2% teaser rate for 2 months or 1% for 4 months? Law of large numbers kicks in if you sample enough people. Distributions of the two groups will be the same if you have enough people. Randomized studies give very accurate answers if you have a large enough sample. |
16:54 | EBM (evidence-based medicine). Randomized studies have been done on whether taping your knee actually gives relief to knee pain, oral vs. vitamin shots, types of acupuncture. Grading of evidence creates a kind of competition between evidence-gathering styles. Physicians are in recent years for the first time starting to do patient-specific research. Previously they might read generally in the field but they didn't have a medical library and they didn't check your specific case. Now through the Internet the physician can look up various treatments and see how they are graded, based on quality of evidence. Flip side: When a patient comes into a hospital with pneumonia, he has to have antibiotics within 4 hours. However, because of that mandate, in some hospitals everyone gets chest x-rays just in case he has pneumonia. Pitfall of rules versus gut instinct. Does the data give rise to the right rules or not? Physicians have ceded their control over treatment, and focus on diagnosis instead. Next EBM revolution may result in their ceding diagnosis, digital medical records. Doctors' decisions to order a test are not always the same as your desires. Insurance companies' incentives versus lawyers' incentives. In any business with 1000 employees, it doesn't make sense to build institution around the top 10%. Taking away some of their discretion and basing it on statistical information will do better. |
25:26 | Prediction page has about 40 prediction tools that will help you predict things like how long you will live, your due-date if pregnant, sporting events, likelihood that a book title will become a best seller. Will give you the average length of marriage for people will your characteristics. Regression output also tells you the precision of the prediction, 95% confidence range. |
27:57 | Regression analysis in economics: can you successfully hold variables constant? Hard to isolate the effect of one variable on another. What's happened to the standard of living in the U.S. since the late 1970s? Stagnant, if you look at average hourly earnings corrected for inflation. But that number doesn't include fringe benefits, demographics, etc.--highly controversial number. Have to trust the outcome variable. Statistical analysis cannot make accurate predictions about all things, have to be able to measure the things you care about, have to be able to run a randomized experiment, have to have a large enough population. Some claim that half of all statistical results are wrong. Need other statistics to know if that claim is true. Claim is a relative one: That in case after case, statistical prediction does better than human prediction. Common idea is that the more subtle the event, the more humans should be relied on, but in fact it's the opposite. With even ten causal factors, statistical prediction does better than humans. Humans can't bring themselves to put the right weight on the right factor when there are many factors. 83 legal experts vs. crude statistical algorithm tried to predict Supreme Court, yet the statistical algorithm did better than the legal experts at predicting the Supreme Court's decisions. Supreme Court hates the 9th Circuit, California, but legal experts can't bring themselves to take that history into account. The algorithm wasn't precise but it still did better than humans. |
35:33 | Social issues: immigration, wages, Wal-mart. For LoJack, automobiles with radio chips have been found to actually reduce crime. Concealed handgun laws, John Lott, do they deter crime in the analogous way? Lott and Ayres don't agree about handgun laws. If one person has LoJack, no thief will worry; but if half the city has it would deter car theft. LoJack is never used as an offensive weapon, but concealed weapons could potentially be used to commit crime, so which effect dominates with concealed weapons? Lott has played an important role in changing the norms of data sharing. Journals are starting to require the posting of data publicly. Leamer, "Let's Take the Con Out of Econometrics." Cost of computation has become cheap. Is there a chance we will get closer to the truth with careful studies? Russ: Monetary History of the United States by Friedman and Schwartz, gold standard of simple statistical analysis. Changed opinion about how to measure the money supply. Are there more complicated examples? Ironic that example is in macro. Ayres: gold standard is Heckman on civil rights issues, micro side, 1964 Civil Rights Act affected hiring in Southern textile industries. Donahue and Levitt abortion article. Not the final word. "Clash of competing studies helps us make progress." New categories of inquiry. Does immigration increase wages of native-born workers? No consensus yet, but we won't get it non-statistically. It may not even be a big enough effect for us to come up with a credible belief in its response. Shouldn't just trust any super cruncher. Businesses may not be following the academic clash approach, may need to hire statistical auditors. |
46:46 | Worries: First, most findings confirm the bias of the researcher because of the range of regressions and techniques you can run, so researchers keep crunching till the results show their biases. It's a concern. Second, ordinary folks don't have the statistical sophistication to be skeptical of sloppily done findings. What is the statistical study that you believe but don't like? If you only believe the ones you like you must be a biased consumer. Easier to cook the books on regressions than on randomized trials. First results out of Move to Opportunity, study where they gave housing vouchers to poor families so they could move to middle class neighborhoods. Randomized experiment. Does it impact life-chance results? Hasn't actually improved the life very much of those who have moved. That was certainly not anticipated by those who put their money into the program. |
50:16 | Summary of issues. Social science research. Hand guns example. Spurious correlations in economics. Simultaneity problem. LoJack. Ayres very confident about LoJack but thinks Lott is wrong about guns. Vice versa for Lott. They go back and forth on details, but what if source is different. Neither may measure with any precision. Data may simply not be good enough to allow us to measure even the direction of the results. Results can be paraded around as scientific when they are not. Can either side in a policy debate concede that some statistical results are more convincing than others? Two-stage least squares--techniques are glamorous and elegant but may be used with data that are not up to the task. Ed Leamer: wrong conclusions happen often because researchers try so many specifications that fail and throw those out, trying again till they find something that works. Bloodletting in medieval times. Leamer quote. Faith-based empirical work. Empirical tournaments, the Iron Economist. |
Posted by Russ Roberts
Startup | |
Keystroke | Description |
Press X during startup | Force Mac OS X startup |
Press Option-Command-Shift-Delete during startup | Bypass primary startup volume and seek a different startup volume (such as a CD or external disk) |
Press C during startup | Start up from a CD that has a system folder |
Press N during startup | Attempt to start up from a compatible network server (NetBoot) |
Press R during startup | Force PowerBook screen reset |
Press T during startup | Start up in FireWire Target Disk mode |
Press Shift during startup | start up in Safe Boot mode and temporarily disable login items and non-essential kernel extension files (Mac OS X 10.2 and later) |
Press Command-V during startup | Start up in Verbose mode. |
Press Command-S during startup | Start up in Single-User mode (command line) |
Finder window | |
Keyboard shortcut | Description |
Command-W | Close Window |
Option-Command-W | Close all Windows |
Command-Right Arrow | Expand folder (list view) |
Option-Command-Right Arrow | Expand folder and nested subfolders (list view) |
Command-Left Arrow | Collapse Folder (list view) |
Option-Command-Up Arrow | Open parent folder and close current window |
Menu commands | |
Keyboard shortcut | Description |
Shift-Command-Q | Apple Menu Log out |
Shift-Option-Command-Q | Apple Menu Log out immediately |
Shift-Command-Delete | Finder Menu Empty Trash |
Option-Shift-Command-Delete | Finder Menu Empty Trash without dialog |
Command-H | Finder Menu Hide Finder |
Option-Command-H | Finder Menu Hide Others |
Command-N | File Menu New Finder window |
Shift-Command-N | File Menu New Folder |
Command-O | File Menu Open |
Command-S | File Menu Save |
Shift-Command-S | File Menu Save as |
Command-P | File Menu |
Command-W | File Menu Close Window |
Option-Command-W | File Menu Close all Windows |
Command-I | File Menu Get Info |
Option-Command-I | File Menu Show Attributes Inspector |
Command-D | File Menu Duplicate |
Command-L | File Menu Make Alias |
Command-R | File Menu Show original |
Command-T | File Menu Add to Favorites |
Command-Delete | File Menu Move to Trash |
Command-E | File Menu Eject |
Command-F | File Menu Find |
Command-Z | Edit Menu Undo |
Command-X | Edit Menu Cut |
Command-C | Edit Menu Copy |
Command-V | Edit Menu Paste |
Command-A | Edit Menu Select All |
Command-1 | View Menu View as Icons |
Command-2 | View Menu View as List |
Command-3 | View Menu View as Columns |
Command-B | View Menu Hide Toolbar |
Command-J | View Menu Show View Options |
Command - [ | Go Menu Back |
Command - ] | Go Menu Forward |
Shift-Command-C | Go Menu Computer |
Shift-Command-H | Go Menu Home |
Shift-Command-I | Go Menu iDisk |
Shift-Command-A | Go Menu Applications |
Shift-Command-F | Go Menu Favorites |
Shift-Command-G | Go Menu Goto Folder |
Command-K | Go Menu Connect to Server |
Command-M | Window Menu Minimize Window |
Option-Command-M | Window Menu Minimize All Windows |
Command-? | Help Menu Open Mac Help |
Universal Access | |
Keyboard shortcut | Description |
Option-Command-* (asterisk) | Turn on Zoom |
Option-Command-+ (plus) | Zoom in |
Option-Command-- (minus) | Zoom out |
Control-Option-Command-* (asterisk) | Switch to White on Black |
Control-F1 | Turn on Full Keyboard Access When Full Keyboard Access is turned on, you can use the key combinations listed in the table below from the Finder. |
Control-F2 | Full Keyboard Access Highlight Menu |
Control-F3 | Full Keyboard Access Highlight Dock |
Control-F4 | Full Keyboard Access Highlight Window (active) or next window behind it |
Control-F5 | Full Keyboard Access Highlight Toolbar |
Control-F6 | Full Keyboard Access Highlight Utility window (palette) |
The Universal Access preference pane allows you to turn on Mouse Keys. When Mouse Keys is on, you can use the numeric keypad to move the mouse. If your computer doesn't have a numeric keypad, use the Fn (function) key.
Mouse Keys | |
Keystroke | Description |
8 | Move Up |
2 | Move Down |
4 | Move Left |
6 | Move Right |
1, 3, 7, and 9 | Move Diagonally |
5 | Press Mouse Button |
0 | Hold Mouse Button |
. (period on keypad) | Release Mouse Button (use after pressing 0) |
Other Commands | |
Keystroke | Description |
Option-Command-D | Show/Hide Dock |
Command-Tab | Switch application |
tab | Highlight next item |
Command-Up Arrow | Move up one directory |
Command-Down Arrow | Move down one directory |
Page Up or Control-Up Arrow | Move up one page |
Page Down or Control-Down Arrow | Move down one page |
Option-Drag | Copy to new location |
Option-Command-Drag | Make alias in new location |
Command-Drag | Move to new location without copying |
Shift-Command-C | Show Colors palette in application |
Command-T | Show Font palette in application |
Command-Shift-3 | Take a picture of the screen |
Command-Shift-4 | Take a picture of the selection |
Command-Shift-4, then press Control while selecting | Take a picture of the screen, place in Clipboard |
Command-Shift-4, then Spacebar | Take a picture of the selected window |
Option-Command-esc | Force Quit |
Control-Eject | Restart, Sleep, Shutdown dialog box |
Control-Command-Eject | Quit all applications and restart |
Option-Command-Eject or Option-Command-Power | Sleep |
Command-click window toolbar button (upper right corner) | Cycle through available views for the window's toolbar (dependant on the nature of the Finder or application window) |
Mac OS X keyboard shortcuts | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Learn about common Mac OS X keyboard shortcuts.
The Universal Access preference pane allows you to turn on Mouse Keys. When Mouse Keys is on, you can use the numeric keypad to move the mouse. If your computer doesn't have a numeric keypad, use the Fn (function) key.
|
Article ID: 75459 | Date Created: December 16, 2002 | Date Modified: June 20, 2007 |