Tax policy might level the odds and pay dividends across the whole population, rich and poor

Tax policy might level the odds and pay dividends across the whole population, rich and poor.

“Previous studies of how to set optimal taxes have typically ignored a crucial channel – the effects that parents have on their kids,” says Alexander Gelber, a professor of business economics and public policy at Wharton. He and co-author Matthew Weinzierl, a professor at Harvard Business School, mined new data and existing research for signs that taxes and ability are, in fact, linked.
Income linked to scores
Their paper, “Equalizing Outcomes vs Equalizing Opportunities: Optimal Taxation When Children’s Abilities Depend on Parents’ Resources,” marshals statistical evidence that supports the idea that increased financial resources for parents with low incomes can lift the performance levels of their children on standardized tests of cognitive ability.
The dominant model of optimal taxation is incomplete, the co-authors write. It treats the distribution of ability as unconnected – or “exogenous,” as the authors say – to optimal tax strategy. Their paper explores the consequences of relaxing current assumptions, assuming instead that tax policy and the abilities of children are connected – or “endogenous.”
The core conceptual contribution of the paper, the researchers note, is that it takes into account the dynamic interaction between exogenous and endogenous causes of skill differences.
The researchers used data on 3,714 children and 2,108 mothers between 1988 and 2000. According to the model developed by the researchers, a resulting tax adjustment would affect children of all taxpayers, but not in equal measure. “Giving parents resources has a bigger effect on children among the low-income parents than among the high-income parents,” says Gelber.
Think of it this way, Gelber states.
If the government were to distribute money randomly to some high-income parents and not others, overall results on upper-income kids would not change very much. In contrast, an identical distribution of cash to some low-income families would have much more pronounced effects on the cognitive abilities of their children, as intuition affirms.
Boosting earned income tax credits (EITC) would provide the means to confer extra cash on low-income families, the researchers propose. Each US$1,000 increase in disposable income for a given child should add two percentile points to that child’s ability levels as measured by national standardized tests.
Gelber adds a note of caution, however. While the researchers’ findings shed light on the need for an inquiry into existing tax policy, more research should precede concrete proposals.
Caveats include a concession that no existing data link how parents spend added income with variations in their kids’ outcomes. Nor do data exist yet to show the impact on income when children are old enough to join the work force. All else being equal, when this force is taken into account, it could justify lowering marginal tax burdens on the poor relative to the well off, the researchers argue.
Even in a theoretical realm, such findings might rub a raw political nerve. Restive voters favor lower taxes, not more transfer payments.
However, Gelber remains optimistic that changes could take place, even in the current climate. Over the past three decades, he notes, Republican and Democratic presidents alike have increased EITC payments that transfer money to lower- and middle-income families.
http://www.nber.org/papers/w18332.pdf

Carnegie Mellon Integrates Policy and Technology In New Master’s Degree for Privacy Engineers

First-of-its-kind Program Covers “Privacy by Design” Principles. Students who complete the master’s degree program will be prepared for the International Association of Privacy Professionals (IAPP) Certified Information Privacy Professional certification exam.

Carnegie Mellon Integrates Policy and Technology In New Master’s Degree for Privacy Engineers

http://privacy.cs.cmu.edu/
First-of-its-kind Program Covers “Privacy by Design” Principles
PITTSBURGH—People tasked with safeguarding privacy in this age of Big Data and easy Internet access need an unusual combination of technological know-how and policy savvy — expertise that will be honed in a new master’s degree program for privacy engineers offered by Carnegie Mellon University’s School of Computer Science.
The Master of Science in Information Technology-Privacy (MSIT-Privacy) is a 12-month program that begins in the 2013 fall semester.
“Privacy breaches, whether through poor design or as the result of attacks, have become a staple of the daily news,” said Norman Sadeh, professor of computer science, who will co-direct the MSIT-Privacy program withLorrie Faith Cranor, associate professor of computer science and engineering and public policy.
“Leaders in social media, tech and Internet companies, financial service firms and government agencies all tell us that they see an increasing need for privacy engineers who can help them design and maintain systems that protect people’s identities and personal information,” Sadeh added.
Until now, however, this critical expertise has been acquired only through on-the-job experience, said Cranor, director of the CyLab Usable Privacy and Security Lab. “Carnegie Mellon has a number of faculty with deep expertise in privacy and offers a variety of privacy-related courses,” she added. “This new program goes a step further by integrating privacy engineering with product design, software development, cyber security and human-computer interaction, as well as legal and business considerations.”
The program includes two semesters of courses taught by leading academic privacy and security experts. In the Carnegie Mellon tradition of learning by doing, the program also includes a summer-long capstone project in which MSIT-Privacy students will serve as privacy consultants on projects for commercial clients.
The program will emphasize the concept of “privacy by design,” in which safeguards are incorporated into the design of systems and products from the very beginning of the development process. Students will be trained to identify points where privacy may be at risk, propose and evaluate solutions to mitigate risks, understand the capabilities and limitations of privacy-enhancing technologies, assess the usability of privacy-related features and understand current privacy regulatory and self-regulatory frameworks, among other skills.
“To embed privacy by design into all things involving information technology, we will need to have privacy engineers, of which there are currently very few,” said Ann Cavoukian, Information and Privacy Commissioner in Ontario, Canada. “Professors Cranor and Sadeh have provided an excellent remedy to this problem by developing their new MSIT-Privacy program at Carnegie Mellon.”
Students who complete the master’s degree program will be prepared for the International Association of Privacy Professionals (IAPP) Certified Information Privacy Professional certification exam.
“As the field of privacy grows around the globe, we are seeing a clear need for highly trained engineers who can translate the complexity of privacy into technology,” said J. Trevor Hughes, president and CEO of the IAPP. “There are too few of these professionals today, and we look forward to welcoming Carnegie Mellon graduates into this burgeoning profession.”
The MSIT-Privacy program is primarily intended for students who already have a technical degree, such as computer science, computer engineering or software engineering, or have comparable work experience. Students should apply for the program by Feb. 1, 2013. For more information, see the program website athttp://privacy.cs.cmu.edu/.

Special Needs and 508 compliance Guidelines for Web Sites

Special Needs and 508 compliance Guidelines for Web Sites

Links as Language Accessibility really affects everyone.
“Click here is postmodern. It’s like a stop sign that says ‘This is a Stop Sign.’” People already know how to use a hyperlink. A hyperlink has words underlined in blue.

Dept. of Ed Privacy Technical Assistance Center Data Disclosure Guidance

Data Disclosure Guidance

The Privacy Technical Assistance Center invites you to attend a webinar focused on the latest guidance provided by the U.S. Department of Education in the area of Data Disclosure.  The webinar is scheduled for Wednesday, November 7th at 1:30 PM ET.  The Department and PTAC will provide an overview of the guidance documents around Data Disclosure avoidance and  best practice strategies for protecting personally identifiable information from education records (PII) in aggregate reports. The webinar will provide suggestions on how to ensure that necessary confidentiality requirements are met, including compliance with the Family Educational Rights and Privacy Act (FERPA).  Michael Hawes, Statistical Privacy Advisor for the U.S. Department of Education and Baron Rodriguez from the Privacy Technical Assistance Center will present.
For your reference, the three guidance documents released are available on the PTAC website:
Frequently Asked Questions – Disclosure Avoidance
Case Study #5 – Minimizing Access to PII: Best Practices for Access Controls and Disclosure Avoidance Techniques
Data De-identification: An Overview of Basic Terms