We examine whether information processing constraints limit managers’ ability to effectively integrate tax planning and core business strategies (i.e., effective tax planning). We propose that artificial intelligence (AI) tools, such as machine learning, can mitigate these constraints by providing enhanced predictive information for key business decisions (e.g., customer demand, supply chain), thereby reducing processing costs. Using a recently developed firm-year measure of investment in AI-related human capital for a broad sample of U.S. nontechnology firms between 2010 and 2018, we find that AI investment is positively associated with tax effectiveness. This effect is concentrated among more complex firms and those where the tax function holds a higher status. Consistent with AI reducing information processing costs, we find that it improves tax effectiveness by enhancing internal information quality and internal capital management. We provide novel evidence that processing constraints hinder effective tax planning and show that AI can mitigate these constraints.

Simultaneity between prisoner populations and crime rates makes it difficult to isolate the causal effect of changes in prison populations on crime. To break that simultaneity, this paper uses prison overcrowding litigation in a state as an instrument for changes in the prison population. The resulting elasticities are two to three times greater than those of previous studies. A one-prisoner reduction is associated with an increase of fifteen Index I crimes per year. While calculations of the costs of crime are inherently uncertain, it appears that the social benefits associated with crime reduction equal or exceed the social costs of incarceration for the marginal prisoner.

This paper provides empirical evidence on the information in the term structure for longer maturities about both future inflation and the term structure of real interest rates. The evidence indicates that there is substantial information in the longer maturity term structure about future inflation: the slope of the term structure does have a great deal of predictive power for future changes in inflation. On the other hand, at the longer maturities, the term structure of nominal interest rates contains very little information about the term structure of real interest rates. These results are strikingly different from those found for very short-term maturities, six months or less, in previous work. For maturities of six months or less, the term structure contains no information about the future path of inflation, but it does contain a great deal of information about the term structure of real interest rates. The evidence in this paper does indicate that, at longer maturities, the term structure of interest rates can be used to help assess future inflationary pressures: when the slope of the term structure steepens, it is an indication that the inflation rate will rise in the future and when the slope falls, it is an indication that the inflation rate will fall. However, we must still remain cautious about using the evidence presented here to advocate that the Federal Reserve should target on the term structure in conducting monetary policy. A change in Federal Reserve operating procedures which focuses on the term structure may well cause the relationship between the term structure and future inflation to shift, with the result that the term structure no longer remains an accurate guide to the path of future inflation. If this were to occur, Federal Reserve monetary policy could go far astray by focusing on the term structure of interest rates.

The production smoothing model of inventory behavior has a long and venerable history and theoretical foundations that seem very strong. Yet certain overwhelming facts seem not only to defy explanation within the production smoothing framework, but actually to argue that the basic idea of production smoothing is all wrong. Most prominent among these is the fact that the variance of detrended production exceeds the variance of detrended sales. This paper first documents the stylized facts. Then it derives the production smoothing model rigorously and explains how the model can be amended to make it consistent with the facts. Finally, it reviews the theoretical and empirical evidence and tries to draw some tentative conclusions.

The optimal timing of real investment is studied under the assumptions that investment is irreversible and that new information about returns is arriving over time. Investment should be undertaken in this case only when the costs of deferring the project exceed the expected value of inforrnation gained by waiting. Uncertainty, because it increases the value of waiting for new information, retards the current rate of investment. The nature of investor's optimal reactions to events whose implications are resolved over time is a possible explanation of the instability of aggregate investment over the business cycle.

I. Introduction, 325.—II. Absolute and relative approaches for evaluating growth and distribution, 326.—III. A general welfare approach for assessing dualistic development, 328.—IV. Welfare economic analysis of dualistic development: the general case, 334.—V. Welfare economic analysis of dualistic development: special cases, 337.—VI. Extensions of the methodology, 346.—VII. Conclusions and implications, 348.—VIII. Empirical significance, 351.

I. The equilibrium of a surplus labor economy, 394. — II. The role of commodity taxation, 398. — III. The role of general factor taxation subsidy, 401. — IV. Factor taxation subsidy in one industry, 403. — V. Conclusions, 407.

Research and firm size within industries, 640. — Research elasticities and average firm size, 644. — Market structure and the level of research, 645. — The role of technical entry barriers, 652. — Conclusions, 656.