Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump

Appropriate real‐time forecasting models for the US retail price of gasoline yield substantial reductions in the mean‐squared prediction error (MSPE) at horizons up to 2 years as well as substantial increases in directional accuracy. Even greater MSPE reductions are possible by constructing a pooled forecast that assigns equal weight to five of the most successful forecasting models. Pooled forecasts have lower MSPE than the US Energy Information Administration gasoline price forecasts and the gasoline price expectations in the Michigan Survey of Consumers. We also show that as much as 39% of the decline in gas prices between June and December 2014 was predictable. Copyright © 2016 John Wiley & Sons, Ltd.     

Real‐time forecast combinations for the oil price

Baumeister and Kilian (Journal of Business and Economic Statistics, 2015, 33(3), 338–351) combine forecasts from six empirical models to predict real oil prices. In this paper, we broadly reproduce their main economic findings, employing their preferred measures of the real oil price and other real‐time variables. Mindful of the importance of Brent crude oil as a global price benchmark, we extend consideration to the North Sea‐based measure and update the evaluation sample to 2017:12. We model the oil price futures curve using a factor‐based Nelson–Siegel specification estimated in real time to fill in missing values for oil price futures in the raw data. We find that the combined forecasts for Brent are as effective as for other oil price measures. The extended sample using the oil price measures adopted by Baumeister and Kilian yields similar results to those reported in their paper. Also, the futures‐based model improves forecast accuracy at longer horizons.     

Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market

This article proposes a new explanation for why retail prices respond more quickly to cost increases than cost decreases. I develop a search model that assumes consumers’ expectations of prices are based on prices observed during previous purchases. This model predicts that consumers search less when prices are falling, which results in higher profit margins and a slower price response to cost changes. I then empirically examine patterns of retail gasoline price response and price dispersion to show that this model predicts observed price behavior better than previously suggested explanations.     

STABILISATION POLICY,RATIONAL EXPECTATIONS AND PRICE‐LEVEL VERSUS INFLATION TARGETING: A SURVEY

We survey literature comparing inflation targeting (IT) and price‐level targeting (PT) as macroeconomic stabilisation policies. Our focus is on New Keynesian models and areas that have seen significant developments since Ambler's (2009, Price‐level targeting and stabilisation policy: a survey. Journal of Economic Surveys 23(5): 974–997) survey: optimal monetary policy; the zero lower bound; financial frictions and transition costs of adopting a PT regime. Ambler's conclusion that PT improves social welfare in New Keynesian models is fairly robust, but we note an interesting split in the literature: PT consistently outperforms IT in models where policymakers commit to simple Taylor‐type rules, but results in favour of PT when policymakers minimise loss functions are overturned with small deviations from the baseline model. Since the beneficial effects of PT appear to hang on the joint assumption that agents are rational and the economy New Keynesian, we discuss survey and experimental evidence on rational expectations and the applied macro literature on the empirical performance of New Keynesian models. Overall, the evidence is not clear‐cut, but we note that New Keynesian models can pass formal statistical tests against macro data and that models with rational expectations outperform those with behavioural expectations (i.e. heuristics) in direct statistical tests. We therefore argue that policymakers should continue to pay attention to PT.     

Predicting crude oil prices: Replication of the empirical results in “What do we learn from the price of crude oil?”

In addition to their theoretical analysis of the joint determination of oil futures prices and oil spot prices, Alquist and Kilian (Journal of Applied Econometrics, 2010, 25(4), 539–573) compare the out‐of‐sample accuracy of the random walk forecast with that of forecasts based on oil futures prices and other predictors. The results of my replication exercise are very similar to the original forecast accuracy results, but the relative accuracy of the random walk forecast and the futures‐based forecast changes when the sample is extended to August 2016, consistent with the results of several other recent studies by Kilian and co‐authors.     

Daily House Price Indices: Construction,Modeling, and Longer‐run Predictions

We construct daily house price indices for 10 major US metropolitan areas. Our calculations are based on a comprehensive database of several million residential property transactions and a standard repeat‐sales method that closely mimics the methodology of the popular monthly Case–Shiller house price indices. Our new daily house price indices exhibit dynamic features similar to those of other daily asset prices, with mild autocorrelation and strong conditional heteroskedasticity of the corresponding daily returns. A relatively simple multivariate time series model for the daily house price index returns, explicitly allowing for commonalities across cities and GARCH effects, produces forecasts of longer‐run monthly house price changes that are superior to various alternative forecast procedures based on lower‐frequency data. Copyright © 2015 John Wiley & Sons, Ltd.     

House price dynamics: Fundamentals and expectations

We investigate whether expectations that are not fully rational have the potential to explain the evolution of house prices and the price-to-rent ratio in the United States. First, a stylized asset-pricing model solved under rational expectations is used to derive a fundamental value for house prices and the price–rent ratio. Although the model can explain the sample average of the price–rent ratio, it does not generate the large and persistent fluctuations observed in the data. Then, we consider a rational bubble solution, an extrapolative expectations solution and a near rational bubble solution. In this last solution agents extrapolate the future from the latest realizations and the degree of extrapolation is stronger in good times than in bad times, generating waves of over-optimism. We show that under this solution the model not only is able to match key moments of the data but can also replicate the run up in the U.S. house prices observed over the 2000–2006 period and the subsequent sharp downturn.     

预期对我国住房市场政策调控效果影响的实证分析

预期对房地产行业调控政策的实施效果有着重要的作用。一般来说,从形成机制可以把预期分为静态预期、外推型预期、适应性预期和理性预期,而我国的房地产市场因其特殊性,是介于适应性预期与理性预期之间的准理性预期。通过建立住房价格调控模型并进行实证分析后,可以发现准理性预期是一种效果较好且与实际更相符的预期;预期是影响房价的最主要因素,而预期对于房价的放大效应和预期的不稳定性又使得政策调控增加了一定的难度;房价基本上与预期成正比关系。     

The measurement of the gains or losses to an enterprise through relative price changes: The terms-of-trade effect and real income

This paper provides a framework for measuring the terms-of-trade effect for an enterprise. This effect is the impact on the organization of changes in input to output prices as well as in the prices of goods and service upon which the income is utilized. The measurement of the effect is outlined with illustrative data and applied to the German Telecom sector, which has suffered particularly badly through adverse relative price changes. The case study of the German Telecom sector is also used to introduce the concept of real income. The framework advocated is argued to be particularly useful, since it allows not only the effects ex post of relative price movements to be evaluated, but also the effects ex ante of particular spending scenarios to be simulated (for example, investment). As such, it should be a useful addition to the ‘toolbag’ of managerial economists.     

Price Adjustment in Currency Unions: Another Dimension to the Endogeneity of the Optimum Currency Area Criteria?

In a rational expectations model, wages and prices should respond more to shocks in currency unions than under adjustable pegs because of the absence of exchange rate adjustment. This is an aspect of the endogeneity of the optimum currency area criteria that has been largely ignored. Empirical evidence from three currency unions tends to suggest some degree of endogeneity of price flexibility, but the rate of adjustment is slow. Self‐selection into currency unions by countries with naturally greater price flexibility does not appear to be a significant factor.     

Closed‐Form Solutions to Bundling Problems

This paper investigates the case of a monopolist selling two distinct goods to a group of m traders who are characterized by their reservation prices, which are drawn independently from uniform distributions over the intervals [ 0, R₁] and [ 0, R₂] . Closed‐form solutions are derived for optimal prices, quantities, profits, and consumers' surplus under situations of separate sales, pure bundling, and mixed bundling. This allows a clear comparison of the price, output, and welfare effects of various forms of bundling. We further investigate situations of positive marginal cost, positive and negative correlation of reservation values, and substitutes and complements.     

Equilibrium in incomplete markets: II : Generic existence in stochastic economies

We model multiperiod securities markets with differential information. A price system that admits no free lunches is related to martingales when agents have rational expectations. We introduce the concept of resolution time, and show that a better informed agent and a less informed agent must agree on the resolution times of commonly marketed events if they have rational expectations and if there are no free lunches. It then follows that if all elementary events are marketed for a less informed agent then any price system that admits no free lunches to a better informed agent must eliminate any private information asymmetry between the two. We provide an example of a dynamically fully revealing price system that is arbitrage free and yields elementarily complete markets.     

Price Discrimination under Customer Recognition and Mergers

This paper studies the interaction between horizontal mergers and price discrimination by endogenizing the merger formation process in the context of a repeated purchase model with two periods and three firms wherein firms may engage in behavior‐based price discrimination (BBPD). From a merger policy perspective, this paper's main contribution is twofold. First, it shows that when firms are allowed to price discriminate, the (unique) equilibrium merger gives rise to significant increases in profits for the merging firms (the ones with information to price discriminate), but has no ex‐post effect on the outsider firm's profitability, thereby eliminating the so‐called (static) “free‐riding problem.” Second, this equilibrium merger is shown to increase industry profits at the expense of consumers' surplus, leaving total welfare unaffected. This then suggests that competition authorities should scrutinize with greater zeal mergers in industries where firms are expected to engage in BBPD.     

Leading Indicators for Euro‐area Inflation and GDP Growth*

In this paper, we evaluate the role of a set of variables as leading indicators for Euro‐area inflation and GDP growth. Our leading indicators are taken from the variables in the European Central Bank's (ECB) Euro‐area‐wide model database, plus a set of similar variables for the US. We compare the forecasting performance of each indicator ex post with that of purely autoregressive models. We also analyse three different approaches to combining the information from several indicators. First, ex post, we discuss the use as indicators of the estimated factors from a dynamic factor model for all the indicators. Secondly, within an ex ante framework, an automated model selection procedure is applied to models with a large set of indicators. No future information is used, future values of the regressors are forecast, and the choice of the indicators is based on their past forecasting records. Finally, we consider the forecasting performance of groups of indicators and factors and methods of pooling the ex ante single‐indicator or factor‐based forecasts. Some sensitivity analyses are also undertaken for different forecasting horizons and weighting schemes of forecasts to assess the robustness of the results.     

World Economic Prospects

Overview: World growth cut as financial woes persist

• This month sees our world GDP forecast for 2016 cut to 2.3%, from 2.6% previously. Our new forecast implies this year will be the weakest for the world economy since 2009.
• Our 2016 growth forecast was over 3% in mid‐2015. But the economic backdrop has worsened markedly since, with steep drops in stock markets, slumping commodities and widening credit spreads.
• We flagged the risks from the financial market sell‐off last month and conditions have improved little since. Worse, there are some signs that weakness in the real economy may be broadening.
• This month's global downgrade partly reflects familiar factors such as worsening emerging markets: we now expect even deeper recessions in Brazil and Russia.
• The US forecast has also been downgraded again, to 2% from 2.4% last month. This in part reflects a soft Q4 GDP reading, one worrying detail of which was a weaker performance by consumer spending.
• Signs of a slowdown in services were also visible in the PMI surveys for January in the US and Eurozone. Partly as a result, our Eurozone growth forecast has been cut this month to 1.6% from 1.8%.
• With world industry already stagnant, signs of weakness spreading to services are unwelcome. We are particularly concerned that the financial market slump will create a negative global credit and confidence shock.
• Another concern is that the collapse in world stock prices is starting to have ‘negative wealth effects’. For most consumers, wealth effects are more likely to be generated by house price moves. In this respect, there is some room for optimism – house prices are still growing in most of the main economies.
• But housing is weakening in some emerging countries and world house and stock prices have tended to move together since 2007.
• Pressures on policymakers to act remain strong and are increasingly focused on using negative interest rates – as in Japan and Sweden in the last month.

     

Loyalty Rewards Facilitate Tacit Collusion

Using a dynamic overlapping‐generations model, we show that loyalty rewards robustly facilitate tacit collusion. We compare the sustainability of tacit collusion when uniform prices are used, when loyal customers are rewarded without using commitment, and when loyalty rewards are implemented by committing to offering customers either lower fixed repeat‐purchase prices or fixed repeat‐purchase discounts. We find that, relative to uniform prices, rewarding loyalty without using commitment on the equilibrium path makes tacit collusion easier to sustain, because a deviating firm is unable to steal one period of industry profit before losing all future profits. When loyalty rewards are offered by firms committing to repeat‐purchase prices, collusion is even easier to sustain, because a deviating firm cannot renege on its discounted price for repeat‐purchase customers. When firms commit to repeat‐purchase discounts, they also commit to lowering the price for their repeat‐purchase customers if they undercut the regular price, rendering tacit collusion to be even more readily sustainable. Our results hold whether products are homogeneous or horizontally differentiated as in a Hotelling model.     

A New Keynesian model with staggered price and wage setting under learning

This paper provides a study of the implications for economic dynamics when the central bank sets its nominal interest rate target in response to variations in wage inflation. I provide results on the existence, uniqueness, and stability under learning of rational expectations equilibrium for alternative specifications of the manner in which monetary policy responds to economic shocks when nominal rigidities are present. Monopolistically competitive producers set prices via staggered price contracts, and households set nominal wages in the same fashion. In this setting, the conditions for determinacy and learnability of rational expectations equilibrium differ from a model where only prices are sticky. I find that when the central bank responds to wage and price inflation and to the output gap, a Taylor principle for wage and price inflation arises that is related to stability under learning dynamics. In other words, a moderate reaction of the interest rate to wage inflation helps to avoid instability under learning and indeterminacy.     

Pooling forecasts in linear rational expectations models

Estimating linear rational expectations models in a limited-information setting requires replacing the expectations of future, endogenous variables either with instrumented, actual values or with forecast survey data. Applying the method of Gottfries and Persson [Empirical examinations of the information sets of economic agents. Quarterly Journal of Economics 103, 251–259], I show how to augment these methods with actual, future values of the endogenous variables to improve statistical efficiency. The method is illustrated with an application to the US hybrid new Keynesian Phillips curve, where traditional, lagged instruments and the median forecast from the Survey of Professional Forecasters both appear to miss significant information used by price-setters, so that forecast pooling with actual values improves the statistical fit to inflation.     

Comovements and asymmetric tail dependence in state housing prices in the USA: A nonparametric approach

We reexamine the methods used in estimating comovements among US regional home prices and find that there are insufficient moments to ensure a normal limit necessary for employing the quasi‐maximum likelihood estimator. Hence we propose applying the self‐weighted quasi‐maximum exponential likelihood estimator and a bootstrap method to test and account for the asymmetry of comovements as well as different magnitudes across state pairs. Our results reveal interstate asymmetric tail dependence based on observed house price indices rather than residuals from fitting autoregressive–generalized autoregressive conditional heteroskedasticity (AR‐GARCH) models.