Search Results
Working Paper
Achievement Gap Estimates and Deviations from Cardinal Comparability
This paper assesses the sensitivity of standard empirical methods for measuring group differences in achievement to violations in the cardinal comparability of achievement test scores. The paper defines a distance measure over possible weighting functions (scalings) of test scores. It then constructs worst-case bounds for the bias in the estimated achievement gap (or achievement gap change) that could result from using the observed rather than the true test scale, given that the true and observed scales are no more than a fixed distance from each other. The worst-case weighting functions have ...
Working Paper
Measuring the “Free” Digital Economy Within the GDP and Productivity Accounts
We develop an experimental methodology that values ?free? digital content through the lens of a production account and is consistent with the framework of the national accounts. We build upon the work in Nakamura, et al. (2016) by combining marketing- and advertising-supported content and find that the impact of ?free? digital content on U.S. gross domestic product (GDP) has accelerated in recent years, particularly since 2005. However, the explosion in ?free? digital content is partially offset by a decrease in ?free? print content like newspapers. Including these, real GDP growth would grow ...
Journal Article
Why Are Headline PCE and Median PCE Inflations So Far Apart?
Mean (or headline) PCE inflation has typically fallen below median PCE inflation, and since 2012 the difference has been large. To understand the reasons for this trend, we investigate which components of the headline measure are contributing to the difference. We find that energy components, which frequently undergo wide price swings, and electronics, which have been steadily decreasing in price for decades, explain most of the difference between the two inflation measures. We argue that the outsized impacts of such components on headline PCE inflation reinforce the need for policymakers to ...
Working Paper
Productivity Slowdown: Reducing the Measure of Our Ignorance
Growth accounting suggests that the bulk of the post-2004 slowdown in output growth in the U.S. is attributed to a residual called TFP. In this paper we provide a tractable accounting framework with firm heterogeneity to link this residual to innovations, markup dispersion, and potential measurement errors. Theories of creative destruction offer rich testable predictions of how the quality upgrading of products, the process efficiency of different firms, and markup dispersion in the market interact and therefore constitute a key approach to shed light on the slowdown in TFP growth. Surveying ...
Working Paper
“Free” Internet Content: Web 1.0, Web 2.0, and the Sources of Economic Growth
The Internet has evolved from Web 1.0, with static web pages and limited interactivity, to Web 2.0, with dynamic content that relies on user engagement. This change increased production costs significantly, but the price charged for Internet content has generally remained the same: zero. Because no transaction records the ?purchase? of this content, its value is not reflected in measured growth and productivity. To capture the contribution of the ?free? Internet, we model the provision of ?free? content as a barter transaction between the content users and the content creators, and we value ...
Discussion Paper
Consumer financial protection regulations: how do they measure up?
The Payment Cards Center's September 2012 policy conference advanced the discussion of targeted design and outcome measurement as central features of public policy in the area of consumer financial protections. Speakers considered regulations addressing the disclosure of credit terms; standards for assessing the unfairness, deceptiveness, and abusiveness of lending acts or practices; the management of revolving credit accounts; and the challenges of analyzing consumer complaints in the context of consumer financial protections. The concluding panel discussed unanswered questions and research ...
Report
Consumer Credit Reporting Data
Since the 2000s, economists across fields have increasingly used consumer credit reporting data for research. We introduce readers to the economics of and the institutional details of these data. Using examples from the literature, we provide practical guidance on how to use these data to construct economic measures of borrowing, consumption, credit access, financial distress, and geographic mobility. We explain what credit scores measure, and why. We highlight how researchers can access credit reporting data via existing datasets or by creating new datasets, including by linking credit ...
Speech
Now is the time for banking culture reform: remarks at Governance and Culture Reform Conference, Federal Reserve Bank of New York, New York City
Remarks at Governance and Culture Reform Conference, Federal Reserve Bank of New York, New York City.
Working Paper
Measuring Fairness in the U.S. Mortgage Market
Black Americans are both substantially more likely to have their mortgage application rejected and substantially more likely to default on their mortgages than White Americans. We take these stark inequalities as a starting point to ask the question: How fair or unfair is the U.S. mortgage market? We show that the answer to this question crucially depends on the definition of fairness. We consider six competing and widely used definitions of fairness and find that they lead to markedly different conclusions. We then combine these six definitions into a series of stylized facts that offer a ...
Journal Article
Behavior of a New Median PCE Measure: A Tale of Tails
We introduce two new measures of trend inflation, a median PCE inflation rate and a median PCE excluding OER inflation rate, and investigate their performance. Our analysis indicates that both perform comparably to other simple trend inflation estimators such as the trimmed-mean PCE. Furthermore, we find that the performance of the median PCE is related to skewness in the distribution of cross-sectional growth rates across categories in the PCE, and our results suggest that the Bowley skewness statistic may be useful in forecasting.