Knowledge that Transforms

We use a new independent survey of 4000 Russian households (the Russian Longitudinal Monitoring Survey or RLMS) to study their saving behavior. The RLMS household saving rate (12%) is less than half the official figure (29%). Despite the massive changes of the transition, the Russian household saving rate of 1994 cannot be shown to be different from that of 1976. The patterns of Russian household saving differ from international experience: Its paradoxical U-shaped saving-age relationship may be explained by the dramatic deterioration of life expectancies of middle-aged Russians.

The detection of nonlinearities could depend on the sampling frequency. Asymmetric monthly series may become symmetric when aggregated to quarterly or annual frequencies. We test against nonlinearity using the nonlinear autoregressive asymmetric moving average (ARasMA) model, which nests the linear ARMA model as a special case. Using monthly, quarterly, and annual Swedish unemployment series, we find support for symmetry/linearity in the annual series but not in the monthly and quarterly series.

This paper estimates economic models of the determinants of state benefit levels in the Aid to Families with Dependent Children (AFDC) program using 1969–1992 data. These models have been extensively researched; however, the existing literature has produced an unacceptably wide range of estimates. Using alternative econometric procedures, this paper systematically examines both the specification assumptions underlying previous analyses as well as several additional specification issues. It is, therefore, able to replicate and reconcile estimates from previous studies and to provide updated, consensus estimates of the demand for welfare generosity. It finds that changes in the average level of income within states have small but statistically significant positive effects on benefits with the confidence bounds on the elasticity extending from 0.11 to 0.82. Changes in the effective price of redistribution are found to have, at most, weak negative effects with elasticities in the range of -0.14 to 0.02. These results are used to evaluate the effects of block grant provisions in the recently enacted welfare reform legislation.

This paper explores the effect of research and development (R&D) and capital on factor intensity and skill bias in a sample of manufacturing plants. Firm and industry R&D as well as plant level capital increase the factor intensity of labor over materials. In contrast, skill bias originates in portions of capital and R&D. Equipment capital and firm R&D in the same product as a plant are consistently skill biased, while structures are biased against skill. Furthermore, general firm and industry R&D increase investment in equipment but not structures. This shows that the skill bias of R&D occurs through two distinct channels. First, firm R&D specific to the product increases the relative demand for skilled labor directly and in the short run through the cost function. Second, general firm and industry R&D exert an additional skill bias by favoring equipment over structures in the long run, demonstrating the broader compass of the skill bias of R&D over time.

Using data from professional baseball, basketball, and hockey, we estimate the parameters of a sequential game model of best-of-n championship series controlling for measured and unmeasured differences in team strength and bootstrapping the maximum-likelihood estimates to improve their small sample properties. We find negligible strategic effects in all three sports: teams play as well as possible in each game regardless of the game's importance in the series. We also estimate negligible unobserved heterogeneity after controlling for regular season records and past appearance in the championship series: Teams are estimated to be exactly as strong as they appear on paper.

Ameasure of the relevancy of instruments used to estimate the coefficients of a linear multiple regression model is discussed. A method for computing the measure using only standard results from ordinary least squares and two-stage least squares estimation is described. The method is illustrated using an empirical example.

We study the effect of income uncertainty on consumption in a model that includes precautionary saving. In contrast to previous studies, we focus on time-series variation in income uncertainty. Our time-series measure of income uncertainty is constructed from a panel of forecasts. We find evidence of precautionary saving in that increases in income uncertainty are related to increases in aggregate rates of saving. We also find evidence that anticipated income growth rates have less explanatory power for consumption growth rates after conditioning on income uncertainty. The evidence indicates the presence of forward-looking consumers who gradually adjust precautionary savings in response to changing income uncertainty.

This paper examines the responses of prices at different stages of production to monetary policy shocks. In aggregate price analysis, the VAR of Christiano et al. (1996a, 1996b) is used to identify the policy shock as the federal funds rate innovation and trace out the responses of prices. In disaggregate price analysis, the adjustment of prices is examined by comparing inflation before and after a recent policy tightening identified by Romer and Romer (1989, 1992). At early stages of production, a monetary tightening causes input prices to fall more rapidly and by a larger amount than output prices.

This paper offers a framework for forecasting aggregate sales of new motor vehicles; this framework incorporates separate models for the change in the vehicle stock and for the rate of vehicle scrappage. Because this approach requires only a minimal set of assumptions about demographic trends, the state of the economy, consumer “preferences,” new vehicle prices and repair costs, and vehicle retirements, it is shown to be especially useful as a macroeconomic forecasting tool. In addition, this paper presents a new historical annual time-series estimate of motor vehicle stocks in the United States.

Present value studies of asset market efficiency are controversial because they compare asset prices to unobserved discounted streams of future rents. As an alternative, if housing markets are efficient, then the price of residential capital or buildings should satisfy the following two conditions: (i) deviations between new building prices and construction costs should disappear faster than construction lags and have no effect on construction, and (ii) temporary building price shocks should dissipate at a similar rate for different vintage buildings. Results from an error-correction model support both hypotheses for single-family housing in Vancouver, British Columbia. This implies that the implicit market for residential buildings is efficient and that any inefficiencies in the housing market must lie in the market for land itself.