Measurement with minimal theory

A central debate in applied macroeconomics is whether statistical tools that use minimal identifying assumptions are useful for isolating promising models within a broad class. In this paper, I compare three statistical models - a vector autoregressive moving average (VARMA) model, an unrestricted state space model, and a restricted state space model - that are all consistent with the same prototype business cycle model. The business cycle model is a prototype in the sense that many models, with various frictions and shocks, are observationally equivalent to it. The statistical models I consider differ in the amount of a priori theory that is imposed, with VARMAs imposing minimal assumptions and restricted state space models imposing the maximal. The objective is to determine if it is possible to successfully uncover statistics of interest for business cycle theorists with sample sizes used in practice and only minimal identifying assumptions imposed. I find that the identifying assumptions of VARMAs and unrestricted state space models are too minimal: The range of estimates are so large as to be uninformative for most statistics that business cycle researchers need to distinguish alternative theories.Business cycles - Econometric models

Real business cycles

Real business cycles are recurrent fluctuations in an economy's incomes, products, and factor inputs - especially labor - that are due to nonmonetary sources. These sources include changes in technology, tax rates and government spending, tastes, government regulation, terms of trade, and energy prices. Most real business cycle (RBC) models are variants or extensions of a neoclassical growth model. One such prototype is introduced. It is then shown how RBC theorists, applying the methodology of Kydland and Prescott (Econometrica 1982), use theory to make predictions about actual time series. Extensions of the prototype model, current issues, and open questions are also discussed.Business cycles

Comments on Gordon, Leeper, and Zha's trends in velocity and policy expectations

I argue that low-frequency movements in U.S. base velocity are well explained by standard models of money demand. The model of Gordon, Leeper, and Zha is not standard because they assume a very high interest elasticity. The positive conclusion that they reach about the model's ability to mimic movements in velocity necessarily implies that predicted movements in interest rates are too smooth.Money supply

Comment on Christian’s “Human Capital Accounting in the United States: 1994–2006”

Michael Christian's paper presents a human capital account for the United States for the period 1994 to 2006. The main findings are twofold. First, the total human capital stock is about three-quarters of a quadrillion dollars in 2006. This estimate is roughly 55 times gross domestic product (GDP) and 16 times the net stock of fixed assets plus consumer durables. His second finding is that the measures of gross investment in human capital are sensitive to alternative assumptions about enrollment patterns. In my comments, I emphasize the need for greater interaction between human capital accountants and applied economists. To date, there remains a disconnect between those measuring human wealth and those investigating its economic impact.

Transition to FDI openness

Empirical studies quantifying the benefits of increased foreign direct investment (FDI) have been unable to provide conclusive evidence of a positive impact on host country’s economic performance. I show that the lack of robust evidence is not inconsistent with theory, even if the eventual gains to FDI are large, if restrictions on FDI are lifted only gradually and part of FDI is intangible investment. Anticipation of future increases in FDI can result in large shifts in patterns of domestic investment and employment. Furthermore, since intangible investments are expensed, both gross domestic product (GDP) and gross national product (GNP) are low during periods of abnormally high FDI investment.Gross domestic product ; Gross national product

Employment growth: cyclical movements or structural change?

In judging the degree of slack in the economy, policymakers must determine the origin of any increase in the unemployment rate—specifically, how much of it is due to a cyclical slowdown (driven by the broader economy) as opposed to a structural realignment in production (driven by a shift in production from declining industries to expanding ones). The model developed in this article provides some insight into the sources and magnitude of structural change and its impact on the unemployment rate.Employment ; Business cycles

The self-employment duration of younger men over the business cycle

Spells of self-employment for younger men are typically of short duration with slightly more than half lasting two years or less. This article examines factors that lead to longer durations, focusing on the role of cyclical factors in distinguishing entrepreneurs from discouraged wage workers.Self-employed ; Business cycles

Capital taxation during the U.S. Great Depression

Previous studies quantifying the effects of increased capital taxation during the U.S. Great Depression find that its contribution is small, both in accounting for the downturn in the early 1930s and in accounting for the slow recovery after 1934. This paper confirms that the effects are small in the case of taxation of business profits, but finds large effects in the case of taxation of dividend income. Tax rates on dividends rose dramatically during the 1930s and, when fed into a general equilibrium model, imply significant declines in investment and equity values and nontrivial declines in gross domestic product (GDP) and hours of work. The results are amplified if businesses make intangible investments which can be expensed from taxable capital income.Depressions ; Taxation ; Profit ; Dividends

Can sectoral labor reallocation explain the jobless recovery?

Labor market ; Labor mobility ; Unemployment

A progress report on business cycle models

This article reports the recent progress made by researchers trying to build business cycle models that can reliably reproduce aggregate U.S. time series. The article first describes some features of the U.S. data that the models are meant to reproduce. Then it describes a version of the standard business cycle model, along with the indivisible labor extension of that model, both of which assume that fluctuations in economic activity are caused only by shocks to technology. Finally, it describes a version of recent other extensions which assume that shocks to fiscal variables also contribute to the fluctuations. Adding fiscal shocks to standard business cycle models is shown to significantly improve their ability to mimic some of the data.Business cycles