Monetary and Fiscal Theories of the Price Level: The Irreconcilable Differences

The fiscal theory of the price level (FTPL) has attracted muchattention but disagreement remains concerning its defining characteristics.Some writers have emphasized implications regarding interest-ratepegging and determinacy of rational expectations solutions,whereas others have stressed its capacity to generate equilibriain which price-level trajectories mimic those of bonds and differdrastically from those of money supplies. We argue that theFTPL attained prominence precisely because it appeared to providea theory whose implications differ greatly from conventionalmonetary analysis; accordingly we review monetarist writingsto identify the primary distinctions. In addition, we reviewrecent findings concerning learnability—and thereforeplausibility—of competing rational expectations equilibria.These indicate that when FTPL and monetarist equilibria differ,the latter are more plausible in the vast majority of cases.Under Ricardian assumptions, necessary for clear distinctions,theoretical analysis indicates that fiscal and monetary coordinationis not necessary for macroeconomic stability. Footnotes ¹ E-mail addresses: bmccallum{at}cmu.edu; edward.nelson{at}stls.frb.org     

RECIPROCITY IN INTERNATIONAL TRADE

This article is in two parts. First, the theoretical basis underlying the possibility of reciprocity in trade is stated. Secondly, a study has been made of statistics of post war trade between the U.K and its major trading partners in an attempt to see whether any evidence of reciprocity emerges and, if so, the nature of the relationship. Doubt is cast on the supposition that a calculation of net import saving is a reliable short-run estimate of net balance of payments contribution of an expansion of U.K. agriculture. Finally, the results of the analysis are applied to the level of import saving projected by the National Economic Development Committee's Report on “Agriculture's Import Saving Role”.     

Alternative Mortgage Instruments, Qualification Constraints and the Demand for Housing: An Empirical Analysis

Government-guaranteed mortgage loans (GFRMs) and adjustable-rate mortgages (ARMs) were introduced to make payment to income (PTI) and loan-to-value (LTV) qualification conventions less restrictive. This paper analyzes the effect of GFRMs and ARMs on the demand for housing. Using a large national data set for the 1988 to 1989 period, we employ a two-stage procedure to estimate housing demand. In the first stage, a multinomial logit model estimates the probability of choosing an FRM, ARM or GFRM. Predicted values from the logit are used to construct user costs and estimate housing demand. Using the model estimates, we simulate demand under four different mortgage availability regimes: FRM, FRM and GFRM, FRM and ARM and all three. These simulations indicate that GFRMs, by relaxing LTV constraints, increase housing demand by approximately 6.2% relative to the FRM regime; the addition of ARMs, by relaxing both PTI and LTV constraints, raises demand by an additional 6%, for a total of 12.2% with inclusion of all alternatives.     

THE IMPACT OF RURAL OUTMIGRATION ON REGION OF ORIGIN IN KOREA*

To assess the impact of rural outmigration on regions of origin, this paper borrows from international trade theory to develop a model of rural-to-urban migration. Borrowing from theories of nontraded goods and Dutch Disease, a model is developed for application to Korea. The model finds that rural outmigration can be detrimental to the rural sector when outmigration reduces farm profitability and triggers deterioration in the rural service sector. Farm profitability falls because of rising labor costs that cannot be passed on to consumers. The rural service sector falters when outmigration reduces market demand while raising input costs. County (kun) level Korean census data are used to test the model.     

Evaluating Expert Systems in a Financial Domain: A Study Demonstrating Issues in Case Selection,Validation Standards and Evaluator Bias

This article describes and generalizes a validation study of four commercially available personal financial planning expert systems and the rationale for the research methodology used. Our evaluation of these systems adds to the understanding of verification and validation issues related to case selection, validation standards and evaluator bias. The article describes the systems, their domain and the empirical method—field tests using hypothetical cases—and relates that method to the literature. Comparing same-task systems combines multiple system perspectives and multiple models. Our methodology did efficiently and effectively identify conflicting terminology, omissions and system weaknesses but was inadequate for comparing the complex plan recommendations. The results re-emphasize the importance of continual knowledge base updating, formal system testing and the need for external evaluation. The results also show the value of comparing multiple, same-task systems.     

Frequent-user patients: reducing costs while making appropriate discharges

Homeless patients who lack access to the health resources they need to maintain their health on their own pose a challenge for hospitals: Premature discharge of such patients can result in their being readmitted to the hospital in a short time, leading to higher costs for the hospital. Hospitals can address this problem by developing clear, effective homeless discharge policies and by developing ongoing relationships with appropriate medical respite care providers. A hospital also can benefit from spearheading an initiative to develop a medical respite program, enlisting the assistance of other community stakeholders.     

Poverty effects of food price escalation: The importance of substitution effects in Mexican households

Recent food price increases reportedly caused significant numbers of households to fall into poverty, particularly in the developing world. Most research into the welfare effects of these food price changes assumes constant demand or approximates second order substitution effects. Poverty forecasts with these assumptions may overestimate or underestimate the effect of food price increases in a nation where most households consume diverse food baskets. We account for full substitution by calculating a theoretically consistent food demand system, accounting for household responses to food price changes by decreasing some food purchases and increasing other food purchases. We use Mexican data to confirm the mitigation of adverse welfare effects from food price increases after accounting for country-specific dietary preferences in modeling demand. In comparison to previous literature, our welfare measures predict theoretically consistent numbers of Mexican households entering poverty due to recent food price changes.     

Drivers of COVID-19 vaccinations: vaccine delivery and delivery efficiency in the United States

NETNOMICS: Economic Research and Electronic Networking - This paper adds some formal research to the success of ongoing efforts to combat the COVID-19 pandemic by examining the drivers of the...     

A complete asymptotic series for the autocovariance function of a long memory process

An infinite-order asymptotic expansion is given for the autocovariance function of a general stationary long-memory process with memory parameter d∈(−1/2,1/2)$d\in (-1/2,1/2)$. The class of spectral densities considered includes as a special case the stationary and invertible ARFIMA(p,d,q$p,d,q$) model. The leading term of the expansion is of the order O(1/k^1−2d)$O(1/k^{1-2d})$, where k$k$ is the autocovariance order, consistent with the well known power law decay for such processes, and is shown to be accurate to an error of O(1/k^3−2d)$O(1/k^{3-2d})$. The derivation uses Erdélyi’s [Erdélyi, A., 1956. Asymptotic Expansions. Dover Publications, Inc, New York] expansion for Fourier-type integrals when there are critical points at the boundaries of the range of integration - here the frequencies {0,2π}$\{0,2\pi \}$. Numerical evaluations show that the expansion is accurate even for small k$k$ in cases where the autocovariance sequence decays monotonically, and in other cases for moderate to large k$k$. The approximations are easy to compute across a variety of parameter values and models.