Price transmission in the Spanish bovine sector: the BSE effect

A regime-switching vector error correction model is applied to monthly price data to assess the impact of Bovine Spongiform Encephalopathy (BSE) outbreaks on price relationships and patterns of transmission among farm and retail markets for bovines in Spain. To evaluate the degree to which price transmission is affected by BSE food scares, a BSE food scare index is developed and used to determine regime switching. Results suggest that BSE scares affect beef producers and retailers differently. Consumer prices are found to be weakly exogenous and not found to react to BSE scares, while producer prices are conversely adjusted. The magnitude of the adjustment is found to depend on the magnitude of the BSE scare.     

The role of retail market power and state regulations in the heterogeneity of farm‐retail price transmission of private label and branded products

Given the leading role of private label brands in the fluid milk market, it is of special interest to focus on possible differences in farm‐retail price transmission between private label and branded milk as well as the causes of heterogeneity. This article examines the heterogeneous effects of private label and branded products on price transmission in the fluid milk market using a panel threshold asymmetric error correction model. Results indicate that upward retail‐price adjustment is faster than the downward price adjustment for both private label and branded milk. The speed of adjustment of private label products is significantly faster than branded products in three different price regimes. We further investigate the reasons of heterogeneity in farm‐retail price transmission of private label milk. We find that both retailer market power and state pricing regulations contribute to the heterogeneity in asymmetric price transmission. Higher retailer market power causes retail prices of private label milk to rise faster and to fall slower. The existence of a state pricing regulation slows down the adjustment speed of retail prices of private labels back to the long‐run equilibrium, regardless of whether the retail price is low or high.     

Testing vertical price transmission for Vietnam's Robusta coffee

Vietnam has undergone market reforms over the last three decades; and as a consequence, the coffee sector has become increasingly market‐driven. The success of the government's liberalisation policies in terms of market efficiency is investigated by examining the transmission of both positive and negative price changes for Robusta coffee between export and farmgate prices. We used a threshold vector error correction model and high‐frequency daily data. The primary result here is that of a symmetric price transmission between export and farm‐level prices. This result holds when tested with weekly price data, derived from the daily data. Farmgate prices respond faster to decreases than increases in export prices when the long‐run deviation exceeds a certain threshold. These price changes are transmitted within several days. This research also confirms the importance of transaction costs, and other price frictions mostly ignored in prior analyses for coffee.     

Export Restrictions and Smooth Transition Cointegration: Export Quotas for Wheat in Ukraine

We extend previous modelling approaches to identify domestic price effects of export controls. We allow for smooth transition between free‐trade price transmission regimes and those under export restricting regimes, using a smooth transition cointegration (STC) approach, rather than the more common assumption that regime changes are abrupt. Our approach has the advantage that the switch in the price transmission regime may be induced not only by an actual but also by an expected policy change. Results confirm the gradual nature of the transition between the regimes, which reflect trader heterogeneity and wheat storage decisions. We find that the STC approach outperforms alternative model approaches in terms of both regime classification and goodness of fit, when explaining Ukrainian domestic wheat prices under export controls. In particular, application of the Markov‐switching error correction model (MSECM) to the same data generates results which do not reflect any identifiable economic reality (in contrast to Götz et al., 2013 ).     

A roller coaster ride: an empirical investigation of the main drivers of the international wheat price

Over the last decade, commodity prices have registered substantial booms and busts marked by extreme volatility. Wheat in particular, one of the main nonoil commodities, has registered a roller coaster in price levels which seems to be inconsistent with supply and demand fundamentals. To acutely investigate the drivers of wheat prices and quantify their impact, a vector error correction model (VECM) has been used. The exogenous variables have been distinguished into four groups: market‐specific factors, broad macroeconomic determinants, speculative components, and weather variables. The quadriangulation of the determinants will enable us to better understand the movements in wheat price and identify the specific role of each component. The results show that a mix of factors are contributing to wheat price movements, including speculation, global demand, and real effective exchange rate.     

Destabilizing role of futures markets on North American hard red spring wheat spot prices

The objective of the paper is to determine if the futures prices of hard red spring wheat (HRSW) have stabilizing or destabilizing impact on spot HRSW price in North America. Several important results emerge from thorough empirical analysis. First, both Granger causality tests and directed acyclic graph algorithms (DAGs) point to two-way causality between futures and spot HRSW prices and thus endogeneity in both prices formation. To the contrary, both procedures suggest that ending stocks are exogenous to spot and futures HRSW prices. Both vector error correction model and impulse response functions point to a large and long-lasting impact of a shock to futures price on spot price level. Finally, variance decomposition analysis indicates that futures prices are responsible for the bulk of spot price volatility in both short and long run. Our result is consistent with those of theoretical models suggesting that when production (supply side) is the dominant disturbance, spot price is destabilized in both the short and the long run by futures prices. An important implication of this research is the need for alternative market mechanisms or alternative farm policy measures that would mitigate price risk and ensure sustainable farming of American HRSW farmers.     

Transaction Cost Thresholds in International Rice Markets

Recent episodes of high and volatile prices for grains such as rice have raised concerns about their implications for hunger and poverty. We model price relationships between international rice prices and 221 domestic prices in 47 developing countries that import rice. We use a threshold vector error correction model that accounts for transaction costs of trade in spatial price transmission, and an improved regularised Bayesian threshold estimator for threshold models. Our results show that threshold values are higher after 2008 than before, which suggests that transaction costs in international rice trade have increased in recent years. Threshold values are highest for Latin American countries followed by African and Asian countries, and higher for retail than for wholesale prices. Since 2008, price transmission is slower in countries that responded to high and volatile prices with domestic market‐based interventions such as price controls and faster in countries that responded by lowering tariffs and by implementing production support measures.     

Price formation in the German biodiesel supply chain: a Markov‐switching vector error‐correction modeling approach

Changing linkages between agricultural and energy markets have attracted considerable attention in research and policy discussions during recent years. As one of the largest biofuel markets worldwide, the German biodiesel market is of particular interest. It has grown rapidly since the beginning of the new millennium, with this growth being driven mainly by political interventions. Vertical price transmission channels along the biodiesel supply chain are analyzed in this study. We examine the relationship between diesel and biodiesel prices, and between rapeseed oil, soy oil, and biodiesel prices between 2002 and 2008. Due to pronounced changes in market conditions and the policy framework, a regime‐dependent Markov‐switching vector error‐correction model is used. The regimes are characterized by markedly different price adjustment behaviors. Before 2005 and from late 2007 onward, a regime characterized by the strong orientation of biodiesel prices toward diesel prices dominates. Between 2005 and 2007, biodiesel and rapeseed oil prices are mutually interdependent. Frequent switches between the regimes of the price dynamics during this period indicate a high extent of uncertainty and instability in the market.     

Price and Volatility Transmission and Market Power in the German Fresh Pork Supply Chain

We investigate the relationship between the transmission of price volatility and market power in the German fresh pork supply chain. We use a theoretical model underpinning this relationship followed by an empirical application that uses monthly farm, slaughterhouse and retail pork price data for the period 2000–2011. We examine both the relationships of market power with price level transmission and price volatility transmission in the chain. We use a vector error correction model and least squares regressions to analyse price transmission and price volatility transmissions, respectively. Results show that retail market power limited both types of transmissions. Competition inducing policy measures coupled with measures that support price risk management initiatives of chain actors are suggested.     

Forecasting the German forest products trade: A vector error correction model

In the forest sector often very complex models are used that take into account a variety of factors. In addition to variables that describe the natural production of wood, into these models flow among others also such variables that depict nature conservation legislation, market contexts, etc. The limited availability of large amounts of data and more particularly of precise data to all these subject areas considerably weakens the validity of the models. Our study therefore takes up the challenge to develop a model, as simple as possible, that can help to estimate export and import volumes as well as export and import prices of raw timber in Germany. To this end, we apply the technique of time series analysis and develop a simple model that allows for short-term and medium-term forecasting in the German forest sector. We show that using a vector error correction model (VECM) can succeed in a relatively simple modelling of future quantities and prices of raw timber for Germany.     

Does the Exchange Rate Matter to Agricultural Bilateral Trade between Canada and the U.S.?

This study examines the effects of the Canada–U.S. exchange rate on bilateral trade of agricultural goods between the two countries and on U.S. farm income. Special attention is given to agricultural trade between the two countries under the Canada–U.S. Free Trade Agreement (CUSTA). This study utilizes two time series models: the vector error correction model (VECM) and the vector moving average model (VMA) with quarterly time series data from 1983 to 2000. It is found that the exchange rate has a significant impact on U.S. agricultural trade with Canada, but the impact on U.S. agricultural price and income is insignificant. The exchange rate between the two currencies is found to be weakly exogenous in the U.S. agricultural sector, which answers a fundamental question about the role of the exchange rate in Canada–U.S. bilateral trade for agricultural products. In addition, the results point to a significant, though minimal, effect on bilateral trade due to CUSTA.     

Notes on farm‐retail price transmission and marketing margin behavior

Perfect farm‐retail price transmission sometimes is taken to mean an elasticity of price transmission (EPT) equal to 1. We show that this definition is inconsistent with Gardner's (1975) model. We also show that the absolute marketing margin (defined as the difference between the retail price and farm price) responds differently to shifts in retail demand, input supply, and technical change in the marketers’ production function than does the relative marketing margin (defined as the ratio of the retail price to the farm price). The empirical implications of these results are discussed in some detail.     

Bayesian Estimation and Selection of Nonlinear Vector Error Correction Models: The Case of the Sugar-Ethanol-Oil Nexus in Brazil

Nonlinear adjustment toward long-run price equilibrium relationships in the sugar-ethanol-oil nexus in Brazil is examined. We develop generalized bivariate error correction models that allow for cointegration between sugar, ethanol, and oil prices, where dynamic adjustments are potentially nonlinear functions of the disequilibrium errors. A range of models are estimated using Bayesian Monte Carlo Markov Chain algorithms and compared using Bayesian model selection methods. The results suggest that the long-run drivers of Brazilian sugar prices are oil prices and that there are nonlinearities in the adjustment processes of sugar and ethanol prices to oil price but linear adjustment between ethanol and sugar prices.     

Price Cycles and Asymmetric Price Transmission in the U.S. Pork Market

Economists have proposed several plausible explanations for observed price transmission asymmetries in commodity markets. Unfortunately, the econometric methods commonly used in such studies cannot empirically distinguish pricing behavior under the competing theories. We argue that the theories may be classified by firm responses to high- and low-frequency price cycles and use Engle's band spectrum regression to test the symmetry of high- and low-frequency cycles in weekly pork prices. The findings indicate that changes in wholesale prices are asymmetrically transmitted to retail prices in relatively low-frequency cycles, which does not support search costs and other high-frequency explanations. Conversely, wholesale pork prices asymmetrically adjust to changes in farm prices at all frequencies.     

Price transmission,asymmetric adjustment and threshold effects in the cotton supply chain: a case study for Vidarbha,India

This study examines price transmission asymmetries in Vidarbha's (India) cotton supply chain from 2002 to 2012. The analysis takes account of thresholds in price adjustments toward their long‐run equilibrium. The first stage considers the price dynamics between international and Indian domestic cotton prices. The second stage considers price transmission from domestic to farm gate cotton prices in Vidarbha. Results from the first stage indicate that Indian and international cotton markets are well‐integrated. In contrast, the second stage reveals significant threshold‐type nonlinearities as well as asymmetries in price transmission between domestic and farm gate prices. The short‐run dynamics suggest that the pass‐through from domestic to farm gate prices is larger when domestic prices decrease than when they increase. Moreover, back of the envelope calculations suggest that the loss in revenue for a typical farmer from a decrease in domestic price is larger than the gains from an increase in domestic price of the same magnitude. The implication is that traders benefit from price fluctuations at the expense of farmers. Evidence from fieldwork in Vidarbha suggest that asymmetries revealed in this analysis may be linked to trader's market power and inadequate market information among farmers.     

Vertical price transmission in timber and lumber markets

Timber and lumber markets are linked and integrated through prices at several stages along timber supply chain. In this study, the degree of vertical integration and the presence of asymmetric price transmission are investigated for sawtimber and lumber products in the southern and western United States. The data utilized are quarterly stumpage price, delivered timber price, and lumber price of softwood between 1977 and 2011. Linear and threshold cointegration models are used for long-term price analyses, and symmetric and asymmetric error correction models are used for short-term price analyses. The integration in the early stage (i.e., stumpage/delivered timber price pair) is found to be stronger than that in the latter stage (i.e., delivered/lumber price pair). The South shows slightly stronger market cointegration than the West. Asymmetric price transmission is found along the timber supply chain. In the long term, prices are more responsive when the price margin is increased than decreased.     

Retail Price Fixity as a Facilitating Mechanism

Previous theoretical explanations for retail price fixity show that fixed retail prices can be consistent with either competitive or imperfectly competitive behavior. We develop a conceptual model of retail pricing wherein fixed price points are facilitating mechanisms for tacit collusion. A non-cooperative equilibrium in fixed retail prices is supported through credible threats to revert to Nash pricing if cheating is suspected. We test the implications of this model using a two-stage, ordered probit approach in weekly supermarket pricing data. The results show that price fixity does support collusive equilibria among retailers, but other factors may also explain retail price behavior.     

The impacts of animal disease crises on the Korean meat market

Employing the error correction method and historical decomposition with direct acyclic graphs, we quantify the impacts of domestic and overseas animal disease crises on the Korean meat market. We have the following findings: (a) the market partially recovered 16 months after the domestic foot‐and‐mouth outbreak (FMD) in 2000, and 13 months after the domestic avian influenza (AI) incidents and the U.S. bovine spongiform encephalopathy (BSE) discovery in 2003; (b) animal disease outbreaks had differentiated impacts by disease type and at different levels of meat supply chain. Retail price margin increased relative to the farm and wholesale levels; and (c) disease outbreaks caused changes of dynamic interdependence between prices by meat type at different levels of meat supply chain.     

The Canadian Beef and Pork Sectors: New Found Relevance of Live Market Information

The structure of price transmission both vertically (between links in the market channel) and horizontally (between market areas) for beef and pork in Canada is examined. The analysis of vertical price transmission indicates that farmgate prices lead retail prices. The hypothesized relationship between retail and farmgate prices is that the farmgate demand curve is shifted by wholesaler anticipation of the retail price changes. Such a situation would place greater importance on the live markets since prices determined in these markets would eventually be reflected in the retail market. The results have further implications for the determination of price margins and related policy issues.     

Dynamics of rice prices and agricultural wages in the Philippines

Rice trade liberalization in the Philippines should decrease domestic rice prices impacting both agricultural wages and the welfare of agricultural wage earners. This study examines the short-run and long-run relationship between rice prices and agricultural wages in the Philippines using a neoclassical wage determination model. Three empirical frameworks are used—a cointegration/error correction framework, which assumes nonstationary variables in long-run equilibrium, a first difference model that assumes nonstationary variables but no long-run equilibrium, and an OLS framework that assumes the model variables are stationary. Conclusions are reasonably robust across the three empirical frameworks with wages adjusting positively to rice price changes with a short-run elasticity of 0.29 to 0.57, and a long-run elasticity of 0.70 to 1.0 in preferred models. An analysis of welfare implications suggests that although households that are heavily reliant on agricultural wages for income will be adversely affected by rice price decreases, other households will benefit.