100 pessoas mais influentes na contabilidade

Saiu a edição especial da Accounting Today com as 100 pessoas mais influentes que estão moldando e mudando a profissão contábil.

Dentre eles:
Barack Obama (President of the United States)
Barry Melanson (President & CEO, AICPA)
Brian Peccarelli (President, Tax & Accounting, Thomson Reuters)
Cathy Engelbert (CEO, Deloitte)
George Farrah (Executive Editor, Tax & Accounting, Bloomberg BNA)
J. Russell George (Treasury Inspector General for Tax Administration)
James Doty (Chair, PCAOB)
John Koskinen (Commissioner, IRS)
Lynne Doughtie (Chair & CEO, KPMG)
Nina Olson (National Taxpayer Advocate, IRS)
Orin Hatch (Chair, Senate Finance Committee)
Paul Ryan (Chair, House Ways & Means Committee)
Robert Moritz (Chair, PriceWaterhouseCoopers)
Russell Golden (Chair, FASB)
Stephen Howe (Managing Partner, EY)
Tim Christian (Incoming Chair, AICPA)

Além do blogger e professor Paul Caron, do blog TaxProf.

Links

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Yuliy Sannikov é o ganhador do Fischer Black Prize de 2015

The American Finance Association’s Fischer Black Prize Committee has selected Professor Yuliy Sannikov of Princeton University, as the recipient of the 2015 Fischer Black Prize. The prize is awarded to the person under 40 whose work best exemplifies the Fischer Black hallmark of developing original research that is relevant to finance practice. Professor Sannikov’s work meets this high standard.

Yuliy Sannikov is a Professor of Economics at Princeton University since 2008. He works on a number of topics, including security design, contract theory, macroeconomics with financial frictions, market microstructure and game theory. Much of his work involves models that gain tractability through the use of continuous-time methods and stochastic calculus. Yuliy Sannikov received his B.A. from Princeton in 2000 and a Ph.D. from Stanford in 2004. He participated in the Review of Economic Studies tour in 2004, was invited to give the annual Schultz lecture at the University of Chicago in 2008, was a Sloan Fellow in 2009-2011, and received the Kiel Excellence Award in Global Economic Affairs in 2014. Besides Princeton, Yuliy Sannikov has taught at MIT, NYU, Harvard, Stanford and UC Berkeley.

Fonte: aqui

Dicas para estudar melhor

(em inglês)

Rir é o melhor remédio

Selfie

Base de dados: QUANDL

O mundo vive a era do Big Data, em que uma quantidade colossal de dados esta disponivel. QUANDL e uma base de dados que reune inumeras bases de dados (veja a lista completa aqui) e que podem ser utilizadas no R.

Variáveis intrumentais provam relacões causais? Não

Econometritions frequently believe that standard instrumental variables (IV) methods can prove causal relationships. We review the relevant formal causal inference literature, and we demonstrate that this belief is not justified. Couching the problem in terms of falsification, we describe the more stringent conditions that are sufficient to reject a null hypothesis concerning observed, but not deliberately manipulated, variables of the form H0: A↛B in favor of an alternative hypothesis HA: A→B, even given the possibility of causally related unobserved variables. Rejection of such an H0 can rely on the availability of two observed and appropriately related instruments. We also characterize, using Monte Carlo simulations, the confidence that can be placed on such judgments for linearly-related, jointly normal random variables. While the researcher will have limited control over the confidence level of such tests, type I errors occur with a probability of less than 0.15 (often substantially less) across a wide range of circumstances. The power of the test is limited if there are but few observations available and the strength of correspondence among the variables is weak. We demonstrate the method by testing a hypothesis with critically important policy implications relating to a possible cause of childhood malnourishment.

Conditions Sufficient to Infer Causal Relationships Using Instrumental Variables and Observational Data - Computational Economics

http://dx.doi.org/10.1007/s10614-015-9512-9