How to Understand High Food Prices

Agricultural price booms are better explained by common factors than by market‐specific factors such as supply shocks. A capital asset pricing model‐type model shows why one should expect this and Granger causality analysis establishes the role of demand growth, monetary expansion and exchange rate movements in explaining price movements over the period since 1971. The demand for grains and oilseeds as biofuel feedstocks has been cited as the main cause of the price rise, but there is little direct evidence for this contention. Instead, index‐based investment in agricultural futures markets is seen as the major channel through which macroeconomic and monetary factors generated the 2007–2008 food price rises.     

World Commodity Prices and Domestic Retail Food Price Inflation: Some Insights from the UK

We focus on two aspects of the links between world commodity prices and retail food price inflation: first, the effects of exchange rates and other input costs, and second; the effects of the duration of shocks on world commodity markets, not just the magnitude of price spikes (the latter often commanding most attention). The UK offers a natural and rather unexplored setting for the analysis. Applying time series methods to a sample of 259 monthly observations over the 1990(9)–2012(3) period we find substantial and significant long‐term partial elasticities for domestic food price inflation with respect to world food commodity prices, the exchange rate and oil prices (the latter indirectly via a relationship with world food commodity prices). Domestic demand pressures and food chain costs are found to be less substantial and significant over our data period. Interactions between the main driving variables in the system tend to moderate rather than exacerbate these partial effects. Furthermore, the persistence of shocks to these variables markedly affects their effects on domestic food prices.     

Importing High Food Prices by Exporting: Rice Prices in Lao PDR

Lao PDR has extensive export controls on its staple food, glutinous rice, which keep domestic prices low relative to international prices. Using price, harvest, and export data this paper analyses how glutinous rice prices in Laos PDR are related to those in its trading partners, Thailand and Vietnam. We find that rice prices in Lao PDR are more likely to rise following a good harvest year than a bad or a normal year. This is consistent with export controls being relaxed after good harvests, leading to an increase in exports early in the season and rising prices later as stocks are depleted. There is thus a case for removal of trade restrictions since they give rise to price spikes while keeping the long‐term price of glutinous rice low, and thereby hinder increases in income from agriculture. However, since high rice prices are likely to affect the poor negatively in the short to medium term, a combination of an export tax and cash transfers is recommended during the transition period. Although this is a case study of Lao PDR, the findings may equally apply to other developing countries that export their staple food.     

Posted Prices and Bid Affiliation: Evidence from Experimental Auctions

In most experimental auctions, researchers ask participants to bid on the same item in multiple potentially binding rounds, posting the price submitted by the top bidder or bidders after each of those rounds. If bids submitted in later rounds are affiliated with posted prices from earlier rounds, this practice could result in biased value estimates. In this article, we discuss the results of an experiment designed explicitly to test whether posted prices affect bidding behavior. We find that for familiar items, high posted prices lead to increased bids in subsequent rounds. Our results have implications for researchers conducting experimental auctions.     

On the Comovement of Commodity Prices

We present strong evidence against the excess-comovement hypothesis—that the prices of commodities move together beyond what can be explained by fundamentals. Prior studies employ broad macroeconomic indicators to explain common price movements, and potentially correlated fundamentals are not controlled for. We use inventory and harvest data to fit a partial equilibrium model that more effectively captures the variation in individual prices. The model explains the majority of the comovements among commodities with high price correlation, and all of the comovements among those with marginal price correlation. Common movements in supply factors appear to play an important role in the observed comovements in commodity prices.     

Commodity Prices and Unit Root Tests

Price theory suggests that commodity prices should be stationary series. Yet, tests for unit roots rather frequently imply that these prices are not stationary. This seeming inconsistency is investigated by applying alternative specifications of unit root tests to prices of corn, soybeans, barrows and gilts, and milk. The preponderance of evidence suggests that nominal prices do not have unit roots, but the results are sensitive to the specification of the test equation. Accounting for a structural change that shifts the mean appears to be an important issue in unit root tests.     

Monetary Impacts and Overshooting of Agricultural Prices in an Open Economy

This article's focus is on the time adjustment paths of the exchange rate and prices in response to unanticipated monetary shocks. First, we expand the theoretical specification of the overshooting hypothesis by generalizing Dornbusch's model to include a third sector (i.e., agricultural prices). Second, we employ Johansen's cointegration test along with a vector error correction model to investigate whether agricultural prices overshoot in an open economy. The empirical results indicate that agricultural prices adjust faster than industrial prices to innovations in the money supply, affecting relative prices in the short run, but strict long-run money neutrality does not hold.     

Supermarket Promotions and Food Prices: A Note

Using a sample comprising nearly 250,000 weekly prices from the largest seven UK supermarket chains, this note investigates two pricing practices that have attracted public interest: the tendency for promotions to ‘disguise’ rises in non‐sale prices and the inflation of prices prior to sales which ‘exaggerate’ the discount. Analysing price dynamics before and after periods of promotional discounting results show post‐sale prices are typically lower than pre‐sale prices, contrary to the disguise hypothesis. We do, however, find evidence of exaggeration of the discount, which may potentially explain why prices fall after discounts, although the evidence is not sufficiently widespread for this to be the sole cause. Results parallel the competition authority's view of supermarket promotions and point to the useful contribution that retail price microdata might play in keeping prices in check in countries where highly concentrated retail sectors raise similar concerns.     

Urban Sprawl and Farmland Prices

A theoretical model of farmland valuation is developed to explicitly account for three effects of urban sprawl: conversion of farmland to urban uses, effect on agricultural returns, and speculative effect as represented by farmland conversion risk. This model is estimated using county-level data in the continental United States. Evidence is found for all three effects of urban sprawl on farmland values. Counties more accessible to major urban centers have higher net agricultural returns. Subsidiary evidence supports that the latter effect may be attributed to survival of (or conversion to) high-valued agriculture around urban centers.     

Measuring the functional efficiency of agricultural futures markets

This article presents a method for measuring the functional efficiency of agricultural futures markets in terms of social welfare using a standard futures market structural model. Employing the concept of social surplus, it can be shown that, when futures prices are used to estimate future spot prices, the errors in prediction produce to some degree resource misallocation, which in turn results in welfare losses. Therefore, the social welfare associated with the presence of futures markets can be measured using a Social Loss index. The indicator was calculated for the period 1975–2015 and for several subperiods, which allow us to analyse functional efficiency before and after the 2007–2008 spikes in the prices of agricultural commodities. Futures contracts for 12 products are evaluated. The products are grouped in three different categories: ‘soft products’, ‘livestock’ and ‘grains and oilseeds’. The results indicate that livestock contracts tended to be more efficient than the rest of the contracts during the whole period, but in 2008–2015 their efficiency decreased vis‐á‐vis the rest of the products. Nevertheless, 2008–2015 proved to be the most efficient subperiod, confirming the remarkable development of agricultural futures markets over time.     

Futures markets and price stabilisation: An analysis of soybeans markets in North America

The objective of this paper was to determine whether the futures markets have a stabilising or destabilising impact on soybean's spot prices in North America. Directed acyclic graphs (DAGs) are used to test for causality between futures prices, spot prices and ending stocks, followed by time series econometric analysis. The DAGs point to the two-way causal link between futures and spot prices and a lack of a causal link between inventory/stocks and spot price volatility. Time series results, including cointegration, vector error correction, impulse response and variance decomposition analysis, indicate a large impact from futures markets on the level and volatility of soybean spot prices in both the short and long run. These results have potentially important implications, as the impact of commodity price volatility is typically asymmetric across different actors. Farmers, for example, unlike speculators, utilise price risk management (PRM) instruments such as futures markets to mitigate price risks and appear to suffer from intensified volatility precisely because of their use of these instruments. Therefore, additional policies to cope with commodity price volatility, such as direct price controls or mitigation of consequences, can have critical stabilising functions supporting farmers' welfare and regional (rural) development.     

论土地价格的本质及其来源

研究目的：论证土地价格的本质及来源,凝练土地经济学规律。研究方法：归纳与演绎法,文献研究法。研究结果：土地作为自然资源和生产要素,在人类社会出现土地私人占有以后就出现了土地价格;土地价格是在交换过程中形成的,是土地占有或放弃占有的对价;土地价格是土地利用能力的标尺,是土地财产价值量的经济表征;土地的本质属性决定了土地价格变化的特殊性;土地价格最终取决于土地利用能力,土地价格是其预期收益的购买价格。研究结论：土地价格最终来源于土地产出品价格,应遵循这一基本规律认识和解决土地经济问题。     

城市基准地价评估中的容积率修正问题探讨

容积率是基准地价评估中最重要的修正因素之一,通过比较现行的几种容积率修正方法,并结合研究项目的调查资料,对基准地价评估中的容积率的修正及其修正方法的选择和修正过程进行了系统的研究,同时运用回归拟合的方式建立了容积率与地价的相关函数,在方法应用上进行了有益的探讨.     

Imperfect Price Deflation in Production Systems

Numéraire prices that are measured with error create challenges for econometric estimation. A straightforward approach for a model with linear input demands, such as generated from a quadratic normalized profit function, is proposed where the numéraire price is measured with error. Numéraire measurement error is likely because expected output price is measured imperfectly by actual output price. An approach using generalized method of moments is developed to estimate such errors-in-variables (EIV) systems that avoids use of extra-sample data or additional structural specifications. Monte Carlo examination of small sample properties shows promise. Measurement error is statistically significant using aggregate U.S. agricultural data.     

Estimating the Structure of Market Reaction to News: Information Events and Lumber Futures Prices

We develop a new event-study technique, the distributional event response model (DERM), appropriate to relatively slowly evolving information events. We apply the model to twelve years of daily lumber futures prices and analyze the effects of three different types of information releases: ( a ) monthly housing starts estimates, ( b ) aperiodic administrative and judicial announcements about U.S.–Canada trade disputes, and ( c ) novel and unprecedented court decisions related to the Endangered Species Act (ESA). The information releases are different in ways that predict their relative speeds of impoundment in prices. We find that housing start events are absorbed more quickly than trade events, which are absorbed more quickly than ESA events.     

On Jumps and ARCH Effects in Natural Resource Prices: An Application to Pacific Northwest Stumpage Prices

Continuous-time models of natural resource prices usually preclude the possibility of large changes (jumps) resulting from unexpected events. To test for the presence of jumps and/or ARCH effects, we combine bounds and the Monte Carlo test technique to obtain finite-sample, level-exact p -values. We apply this methodology to stumpage prices from the Pacific Northwest and find evidence of jumps and ARCH effects. To assess the impact of neglecting jumps on the decision to harvest old-growth timber, we develop an autonomous, infinite-horizon stopping model for which we provide a new method of resolution. Our numerical results show the importance of modeling jumps explicitly.     

The Working Curve and Commodity Storage under Backwardation

There remains controversy over whether the empirical curve relating intertemporal commodity price spreads and stocks, originally drawn by Holbrook Working in 1933 (i.e., the Working curve), is a valid stylized fact in commodity markets. The core of the controversy is the portion of the curve representing commodity stocks under backwardation. In this article we analyze the original data used by Working, plus more disaggregated numbers. We find that the Working curve is indeed valid. The diversity of stockholders and different stockholding motives most likely explain the empirical Working curve relationship.     

Bubbles,Froth and Facts: Another Look at the Masters Hypothesis in Commodity Futures Markets

The Masters Hypothesis suggests that long‐only index funds were the main cause of a massive increase in commodity prices in 2007–2008 and 2011–2012. Central to the Masters Hypothesis are three basic tenets: (i) long‐only commodity index funds were directly responsible for driving futures prices higher; (ii) the deviations from fundamental value were economically very large; (iii) the impact was pervasive across commodity futures markets. There has been a great deal of empirical research on the Masters Hypothesis and commodity market bubbles. However, surprisingly few studies have found evidence that directly support the main tenets of the Masters Hypothesis. Some have attributed the lack of supporting evidence to the low‐power of time‐series tests, market efficiency issues and a lack of conditioning variables within models. In this paper, we address each of these issues using updated data and new empirical approaches. Still, price behaviour consistent with the Masters Hypothesis is surprisingly difficult to find in the data. This is an important finding given the on‐going policy debate and regulations proposed or being implemented to limit speculative positions in these markets.     

Futures markets and real estate public equity: Connectivity of lumber futures and Timber REITs

This paper investigates connectivity between lumber futures contracts, Timberland REITs, the FTSE NAREIT U.S. REIT index, spot prices, and timberland capitalization rates, and contributes to this tranche of research by empirically linking the price discovery process of Timberland Real Estate Investment Trusts to lumber futures. We employ VEC and GARCH models, providing evidence that lumber futures have a positive significant long- and short-run equilibrium relationship with publicly traded Timber REIT prices, connecting a specific futures commodity with its theoretically entwined real estate equity index. As such, exogenous factors that influence Timber REIT prices are documented leading to possible diversification/risk reduction strategies.     

GIS在城市地价动态宏观监测中的应用

基准地价的评估，常根据监测样点地价的变化来反映城市总体地价水平的变化。本文在传统研究方法的基础上运用GIS技术以地价监测样点信息为基础，通过TIN和监测样点地价建立地价分布三维模型，运用内插地价等值钱图与城市用地基准地价底图的叠加来宏观分析城市地价面的变化，引起价格变化的原因，为政府高效合理利用土地提供依据。