National Bureau of Economic Research

About: National Bureau of Economic Research is a nonprofit organization based out in Cambridge, Massachusetts, United States. It is known for research contribution in the topics: Monetary policy & Population. The organization has 2626 authors who have published 34177 publications receiving 2818124 citations. The organization is also known as: NBER & The National Bureau of Economic Research.

Some Evidence on the Importance of Sticky Prices

Abstract: We examine the frequency of price changes for 350 categories of goods and services covering about 70% of consumer spending, based on unpublished data from the BLS for 1995 to 1997. Compared with previous studies we find much more frequent price changes, with half of prices lasting less than 4.3 months. The frequency of price changes differs dramatically across categories. We exploit this variation to ask how inflation for 'flexible-price goods' (goods with frequent changes in individual prices) differs from inflation for 'sticky-price goods' (those displaying infrequent price changes). Compared to the predictions of popular sticky price models, actual inflation rates are far more volatile and transient, particularly for sticky-price goods. The data appendix for this paper can be found at http://www.nber.org/data-appendix/w9069/

Information, School Choice, and Academic Achievement: Evidence from Two Experiments

Abstract: We analyze two experiments that provided direct information on school test scores to lower-income families in a public school choice plan. We find that receiving information significantly increases the fraction of parents choosing higher-performing schools. Parents with high-scoring alternatives nearby were more likely to choose non-guaranteed schools with higher test scores. Using random variation from each experiment, we find evidence that attending a higher-scoring school increases student test scores. The results imply that school choice will most effectively increase academic achievement for disadvantaged students when parents have easy access to test score information and have good options to choose from.

Bank-Based or Market-Based Financial Systems: Which is Better?

Abstract: For over a century, economists and policy makers have debated the relative merits of bank-based versus market-based financial systems. Recent research, however, argues that classifying countries as bank-based or market is not a very fruitful way to distinguish financial systems. This paper represents the first broad, cross-country examination of which view of financial structure is more consistent with the data. The results indicate that although overall financial development is robustly linked with economic growth, there is no support for either the bank-based or market-based view.

The Quality of Government

Abstract: We investigate empirically the determinants of the quality of governments in a large cross-section of countries. We assess government performance using measures of government intervention, public sector efficiency, public good provision, size of government, and political freedom. We find that countries that are poor, close to the equator, ethnolinguistically heterogeneous, use French or socialist laws, or have high proportions of Catholics or Muslims exhibit inferior government performance. We also find that the larger governments tend to be the better performing ones. The importance of historical factors in explaining the variation in government performance across countries sheds light on the economic, political, and cultural theories of institutions.

A Probability Model of the Coincident Economic Indicators

Abstract: The Index of Coincident Economic Indicators, currently compiled by the U.S. Department of Commerce, is designed to measure the state of overall economic activity. The index is constructed as a weighted average of four key macroeconomic time series, where the weights are obtained using rules that dare to the early days of business cycle analysis. This paper presents an explicit rime series model (formally, a dynamic factor analysis or "single index" model) that implicitly defines a variable that can be thought of as the overall state of the economy. Upon estimating this model using data from 1959-1987, the estimate of this unobserved variable is found to be highly correlated with the official Commerce Department series, particularly over business cycle horizons. Thus this model provides a formal rationalization for the traditional methodology used to develop the Coincident Index. Initial exploratory exercises indicate that traditional leading variables can prove useful in forecasting the short-run growth in this series.