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This study is concerned with evaluating the Federal Reserve forecasts of light motor vehicle sales. The goal is to assess accuracy gains from using consumer vehicle-buying attitudes and expectations about future business conditions derived from the long-running Michigan Surveys of Consumers.

Simplicity is a core principle in forecasting, and the literature provides plentiful evidence that combining forecasts from different methods and models reduces out-of-sample forecast errors if the methods and models are valid. As such, the authors construct a simple vector autoregressive (VAR) model that incorporates consumer vehicle-buying attitudes and expectations about future business conditions. Comparable forecasts of vehicle sales from this model are then combined with the Federal Reserve forecasts to assess accuracy gains.

The findings for 1994–2016 indicate that the Federal Reserve and VAR forecasts contain distinct and useful predictive information, and the combination of the two forecasts shows reductions in forecast errors that are more significant at longer horizons. The authors thus conclude that there are accuracy gains from using consumer survey responses.

This is the first study that is concerned with evaluating the Federal Reserve forecasts of vehicle sales and examines whether there are accuracy gains from using consumer vehicle-buying attitudes and expectations.

This study evaluates the Federal Reserve (Fed) initial and final forecasts of the unemployment rate for 1983Q1-2018Q4. The Fed initial forecasts in a typical quarter are made in the first month (or immediately after), and the final forecasts are made in the third month of the quarter. The analysis also includes the private forecasts, which are made close to the end of the second month of the quarter.

In evaluating the multi-period forecasts, the study tests for systematic bias, directional accuracy, symmetric loss, equal forecast accuracy, encompassing and orthogonality. For every test equation, it employs the Newey–West procedure in order to obtain the standard errors corrected for both heteroscedasticity and inherent serial correlation.

Both Fed and private forecasts beat the naïve benchmark and predict directional change under symmetric loss. Fed final forecasts are more accurate than initial forecasts, meaning that predictive accuracy improves as more information becomes available. The private and Fed final forecasts contain distinct predictive information, but the latter produces significantly lower mean squared errors. The results are mixed when the study compares the private with the Fed initial forecasts. Additional results indicate that Fed (private) forecast errors are (are not) orthogonal to changes in consumer expectations about future unemployment. As such, consumer expectations can potentially help improve the accuracy of private forecasts.

Unlike many other studies, this study focuses on the unemployment rate, since it is an important indicator of the social cost of business cycles, and thus its forecasts are of special interest to policymakers, politicians and social scientists. Accurate unemployment rate forecasts, in particular, are essential for policymakers to design an optimal macroeconomic policy.

The purpose of this paper is to focus on the relationship between attitudinal data from the long-running Michigan Surveys of Consumers and US real GDP growth. One survey question asks, “Generally speaking, do you think now is a good time or a bad time to buy a house?” with the follow-up question “Why do you say so?” There are several factors for consumers to choose as reasons. Given the strong link between US housing market activity and business cycles, the authors ask whether the responses to the follow-up question explain the behavior of output growth.

The authors employ an augmented autoregressive model to investigate the relationship between output growth and the responses to the follow-up question for 1986–2007 and for 1986–2018, which includes the 2008 financial crisis. The authors follow the general-to-specific approach to obtain the final model estimates for interpretation. For a deeper analysis, the authors estimate the model using the responses of survey participants in the bottom 33 percent, middle 33 percent and upper 33 percent income categories, separately. While avoiding aggregation bias, this approach helps reveal important information embodied in the cross-sectional distribution of the data.

The follow-up question focuses on such factors as home prices, mortgage rates, houses as a good/bad investment, timing, uncertain future and affordability. The authors find that the majority of these factors chosen as reasons by consumers in the middle and upper 33 percent income categories explain the behavior of output growth. Among the factors chosen as reasons by consumers in the bottom 33 percent income category, only the mortgage rate and uncertain future explain output growth.

This study provides new insights into the usefulness of detailed consumer survey data in explaining the behavior of output growth and further underlines the usefulness of such measures across different income categories for revealing important information contained in the cross-sectional distribution of the data.

The literature mostly investigates the impact of trade and financial integration on business cycle synchronization. The author differs by focusing on the real effective exchange rate as the target variable in the North American Free Trade Agreement (NAFTA) region. In particular, the author investigates synchronization by analyzing the short- and long-run dynamics of the real effective exchange rates of Canada, Mexico and the US for 2008–2019.

The author first employs stationarity and cointegration tests to specify and estimate the long-run equilibrium relation between the real effective exchange rates of Canada, Mexico and the US. The author then specifies and estimates an error-correction model for each real effective exchange rate in order to investigate whether the adjustment in eliminating disequilibrium is asymmetric.

The results indicate that the real effective exchange rates of Canada, Mexico and the US are cointegrated with only one long-run equilibrium relation. Canada's real effective exchange rate responds symmetrically to eliminate both negative and positive disequilibrium with a similar speed of adjustment. However, the response of Mexico's real effective exchange rate is asymmetric, as it responds to eliminate only positive disequilibrium. The US real effective exchange rate does not respond to disequilibrium, perhaps because it has a large economy with much stronger competition beyond the NAFTA region than both Canada and Mexico.

This is the first study that investigates real effective exchange rate synchronization in the NAFTA region.

The purpose of this paper is to take a forecasting approach to examine the relationship between the US birth rate, marriage rate, and economic conditions (measured by both realized unemployment and expected unemployment). The expectation data come from the Michigan Surveys of Consumers.

Utilizing monthly data, the authors first specify a univariate and three augmented autoregressive integrated moving average forecasting models for 1975-2001. Second, the authors use recursive estimation to generate multi-period forecasts of the birth rate for 2002-2008. Third, the authors employ standard evaluation methods to compare the predictive information content of the forecasts.

First, the birth rate is pro-cyclical. Second, the marriage rate contains useful predictive information for the birth rate. Third, controlling for past information in the birth and marriage rates, both realized and expected unemployment embody useful information for predicting the birth rate. Fourth, expected unemployment is a more informative indicator than realized unemployment.

The finding that the birth rate is pro-cyclical emphasizes the importance of economic stability in promoting childbearing, and the authors suggest counter-cyclical macroeconomic policy to shield families from major shocks. A stable economy, and especially one where families are optimistic about the future, promotes childbearing. The results also empower policymakers to analyze systematically the impact of changes to the structure of marriage on childbearing.

This appears to be the first study that utilizes a forecasting approach to better understand the complex relationships between childbearing, marriage, and macroeconomic conditions.

This study is motivated by the view that Democrats are concerned with reducing unemployment in the short‐run, while Republicans are concerned with keeping inflation low to promote economic stability and growth. The purpose of this paper is to ask whether the Federal Reserve forecasts of nonfarm payroll employment are accurate and free of systematic bias during the 1977‐2000 Democratic and Republican administrations.

The authors employ comparable forecasts from a univariate autoregressive integrated moving‐average (ARIMA) model to assess forecast accuracy. An ARIMA model efficiently utilizes past information and thus yields desirable forecasts commonly used as benchmarks.

Federal Reserve forecasts during the Democratic Administrations, while failing to outperform the ARIMA forecasts, display systematic under‐prediction. Such evidence is consistent with a discretionary approach to monetary policy when the bias is in the direction of full employment. During the Republican Administrations, the Federal Reserve forecasts, while superior to the ARIMA forecasts, are free of systematic bias. This, we argue, is consistent with a monetary policy that approximated the Taylor rule.

The distinct behavior over the two administrations is unique to the nonfarm payroll employment forecasts and cannot be substantiated for the Federal Reserve forecasts of other macroeconomic variables.

This study provides new insights into the monetary policies pursued during the 1977‐2000 Democratic and Republican administrations. The findings are useful and informative for the design and implementation of monetary policy.

This study aims to both test the asymmetric information hypothesis and explore the factors influencing the one‐ through four‐quarter‐ahead Federal Reserve inflation forecasts for 1983‐2002.

Encompassing tests are used to examine the asymmetric information hypothesis. In modeling the Federal Reserve inflation forecasts, the authors are mindful of alternative theories of inflation which emphasize such determinants as cost‐push, demand‐pull and inertial factors.

First, the Federal Reserve inflation forecasts embody useful predictive information beyond that contained in the private forecasts. Second, with the private forecasts controlled for, the near‐term Federal Reserve inflation forecasts make use of qualitative information, and the longer‐term forecasts are influenced by the forecasts of growth in both unit labor costs and aggregate demand as well as the preceding‐quarter inflation forecasts and monetary policy shifts.

The Federal Reserve forecasts are released to the public with a five‐year lag and are currently available up to the fourth quarter of 2002. This limits the use of the most up‐to‐date forecasts desirable for this study.

The factors influencing the Federal Reserve inflation forecasts are basically those emphasized publicly by monetary authorities. This finding points to the Fed's transparency and should thus help enhance its credibility with the public. Also, our results (which shed light on the predictive information in the Federal Reserve inflation forecasts not included in the private forecasts) are of value, since they can help the Fed better predict how inflation will respond to policy actions, and they can help the public form more informative inflationary expectations.

The random walk forecast of exchange rate serves as a standard benchmark for forecast comparison. The purpose of this paper is to assess whether this benchmark is unbiased and directionally accurate under symmetric loss. The focus is on the random walk forecasts of the dollar/euro for 1999‐2007 and the dollar/pound for 1971‐2007.

A forecasting framework to generate the one‐ to four‐quarter‐ahead random walk forecasts at varying lead times is designed. This allows to compare forecast accuracy at different lead times and forecast horizons. Using standard evaluation methods, this paper further evaluates these forecasts in terms of unbiasedness and directional accuracy.

The paper shows that forecast accuracy improves with a reduction in the lead time but deteriorates with an increase in the forecast horizon. More importantly, the random walk forecasts are unbiased and accurately predict directional change under symmetric loss and thus are of value to a user who assigns similar cost to incorrect upward and downward move predictions in the exchange rates.

The one‐ to four‐quarter‐ahead random walk forecasts evaluated here are for averages of daily figures and not for the (end‐of‐quarter) rates in 3‐, 6‐, 9‐ and 12‐months. Thus, the framework is of value to a market participant who is interested in forecasting quarterly average rates rather than the end‐of‐quarter rates.

The exchange rate forecasting framework presented in this paper allows the evaluation of the random walk forecasts in terms of directional accuracy which (to the best of knowledge) has not been done before.

The purpose of this paper is to investigate four possible asymmetries in US aggregate consumption and its major components (durables, non-durables, and services) for the period 1990-2013. Understanding the asymmetric behavior of the components is important since the impact of monetary policy on separate consumer spending categories may differ substantially.

The authors first employ stationarity and cointegration tests to specify and estimate the long-run equilibrium relationship between consumer spending and such variables as disposable income, consumer sentiment, and the expected real interest rate. The authors then specify a structural error-correction model for each spending category to simultaneously investigate such possible asymmetries due to the ratchet effect, psychological negativity bias, interest rate effect, and varying degree of adjustment in eliminating disequilibrium defined as the gap between actual and desired spending.

First, consumption and its major components all display asymmetric behavior consistent with psychological negativity bias. Second, consumer spending on durable goods also displays asymmetries consistent with both the ratchet effect and the interest rate effect. Third, non-durables respond asymmetrically to disequilibrium; consumers adjust (increase) spending on non-durables only when actual spending is below desired spending on non-durable goods. Fourth, services also respond asymmetrically to disequilibrium; consumers adjust (reduce) spending on services only when actual spending is above desired spending on services.

This study provides new insight on the asymmetric behavior of consumer spending. The authors believe that the findings should help with macroeconomic policymaking when such indicators as income, consumer sentiment, and expected real interest rates display significant variations.

This paper aims to evaluate the use and the costs of AMIN, the interlibrary loan service in Iran.

A questionnaire was used for the data collection. It was completed by those librarians in charge of AMIN in academic libraries.

The statistics collected from six libraries showed that 514 items were loaned, of which 49 per cent were journal articles and 43 per cent were books. Post was used for the delivery of about 55 per cent of the items, while e‐mail was used for the delivery of only 7 per cent of the items. The average time spent dealing with each request (the time lapse between receipt of the request and dispatching the item) was about 7.1 days. The library of the University of Tehran was the most effective library in this regard as it only took 3.4 days on average for each request. The study revealed that the participating libraries did not have a proper procedure in place for collecting usage statistics and therefore one cannot evaluate the effectiveness of the AMIN service.

The paper reveals the cost of document supply in Iranian academic libraries and illustrates that ILL services in Iran are not efficient and that measures could be taken to reduce the cost and increase the efficiency of services.