Bottom line advice
1. Talk less.
2. Lose weight.
3. Do the dishes.
4. Put out
5. Scheme
1. Talk less.
2. Lose weight.
3. Do the dishes.
4. Put out
5. Scheme
“The President had an opportunity to show real leadership by proposing a budget that charts a course to fiscal responsibility, but unfortunately his proposal will lead to more spending, higher taxes, and crushing debt,” said Holtz-Eakin. “Today’s budget ignores recommendations from his own Commission on Fiscal Responsibility and offers little more than a cosmetic reworking of last year’s irresponsible plan. The past two years are proof positive that we can’t spend our way to a recovery, a plan for success requires spending controls and pro-growth economics.”
Abstract
The Catholic Church has been making saints for centuries, typically in a two-stage process featuring beatification and canonization. We analyze determinants of rates of beatification and canonization (for non-martyrs) over time and across six world regions. The research uses a recently assembled data set on numbers and characteristics of beatifieds and saints chosen since 1590. We classify these blessed persons regionally in accordance with residence at death. These data are combined with time-series estimates of regional populations of Catholics, broadly-defined Protestants, Orthodox, and Evangelicals (mostly a sub-set of Protestants). Regression estimates indicate that the canonization rate depends strongly on the number of candidates, gauged by a region's stock of beatifieds who have not yet been canonized. The beatification rate depends positively on the region's stock of persons previously canonized. The last two popes, John Paul II and Benedict XVI (the only non-Italians in our sample), are outliers, choosing blessed persons at a much higher rate than that of their predecessors. Since around 1900, the naming of blessed persons seems to reflect a response by the Catholic Church to competition from Protestantism or Evangelicalism. We find no evidence, at least since 1590, of competition between the Catholic and Orthodox Churches.
Abstract
We use state and county level variation to examine the impact of the American Readjustment and Recovery Act on employment. A cross state analysis suggests that one additional job was created by each $170,000 in stimulus spending. Time series analysis at the state level suggests a smaller response with a per job cost of about $400,000. These results imply Keynesian multipliers between 0.5 and 1.0, somewhat lower than those assumed by the administration. However, the overall results mask considerable variation for different types of spending. Grants to states for education do not appear to have created any additional jobs. Support programs for low income households and infrastructure spending are found to be highly expansionary. Estimates excluding education spending suggest fiscal policy multipliers of about 2.0 with per job cost of under $100,000.
The bottom line: Taken as a whole, the January report is a net negative — few jobs, few hours, and massive labor-force departure. The glimmer of good news may be arising from a new policy climate more favorable to small business.
Abstract:
The effect of competition on the quality of health care remains a contested issue. Most empirical estimates rely on inference from non experimental data. In contrast, this paper exploits a pro-competitive policy reform to provide estimates of the impact of competition on hospital outcomes. The English government introduced a policy in 2006 to promote competition between hospitals. Patients were given choice of location for hospital care and provided information on the quality and timeliness of care. Prices, previously negotiated between buyer and seller, were set centrally under a DRG type system. Using this policy to implement a difference-in-differences research design we estimate the impact of the introduction of competition on not only clinical outcomes but also productivity and expenditure. Our data set is large, containing information on approximately 68,000 discharges per year per hospital from 160 hospitals. We find that the effect of competition is to save lives without raising costs. Patients discharged from hospitals located in markets where competition was more feasible were less likely to die, had shorter length of stay and were treated at the same cost.