Key market values for bottled wine in an emerging market: product attributes or business strategy?

ABSTRACT

This article focuses on the emerging bottled Chilean red wine market and studies the main determinants of the consumer price of wine sold on the domestic market. A hedonic price function was estimated for a sample of 810 wines using a quantile regression (QR) model. The database contains three variable groups to explain price: objective variables (national, international and vine quality designations), subjective variables (wine score) and business strategies used by wine producers. Results show that some objective variables have a greater impact on price than the wine score (a subjective variable) and business strategies, which vary for each quartile of prices analysed. Finally, this information will allow companies to design and implement marketing strategies to inform the consumer about the importance of some variables in the price of their product.     

Expert opinion and cuisine reputation in the market for restaurant meals

As food is an experience good, the market for restaurant meals is a market where the cost of acquiring information regarding quality is relatively high. In such markets consumers often turn to reputation measures to guide purchase decisions. As Australia does not have a longstanding cuisine style of its own, and given Australia has been open to substantial immigration inflows since federation, it represents an especially appropriate market to study regarding the impact of individual restaurant reputation and collective cuisine reputation on meal prices. The following study uses the hedonic price approach to investigate the implicit price of individual reputation indicators, cuisine type reputation indicators and other objective indicators in the market for restaurant meals. The empirical findings presented suggest that both individual restaurant reputation and cuisine type reputation are important. Other important factors are shown to include the quality of the restaurant wine list, the availability of private dining rooms, and whether or not there is an outdoor dining option.     

What to show on the wine labels: a hedonic analysis of price drivers of Sicilian wines

Unlike previous literature, we construct a hedonic model of wine price that incorporates all the main categories of variables simultaneously to enable a better evaluation of their importance on wine price formation. A comprehensive model has the advantage of providing more reliable estimates of the attributes' implicit prices thereby facilitating firms' pricing and improving effectiveness of wine production and marketing decisions. We utilize two different datasets of Sicilian wines collecting data from influential wine guides. Our results suggest that wine price strongly depends on objective features such as vintage, alcoholic content, geographical origin, grape variety, producer size and cellaring potential. In addition, use of containers like tonneaux and barrique positively affects prices, whereas use of concrete containers has a negative influence. No univocal indications emerge with regard to the effect of the type of company, type of viticulture and firm age. As for sensorial characteristics, our analysis provides novel evidence of the importance of olfactory variables such as aroma intensity and the presence of particular smells in the wine. Finally, current guides’ grades and firm reputation play a crucial role in determining wine prices as well.     

Heterogeneity and fine wine prices: application of the quantile regression approach

ABSTRACT

This study addresses the price heterogeneity of the five first growths of Bordeaux. We apply the quantile regression (QR) approach with market segmentation based on wine bottle price quantiles. We compute the hedonic price of wine attributes for various price segments in the market. This approach is applied to a major dataset comprising approximately 50,000 transactions over the 2003–2017 period. The findings indicate that the relative hedonic prices of several wine attributes differ significantly among deciles. The implications of our results are manifold. Vintage and Parker grades have a strong impact on the variation in wine prices, and there is a hierarchy among the five first growths of Bordeaux. There is also a premium commanded by the reputation and experience of an auction house. Since the financial crisis of 2012–2013, investors have considered that the five first growths are overrated, save for the most expensive wines; for those most expensive ones, investors prefer scarcity to liquidity. These results are of import to several actors in the fine wine market: investors, for example, could use the findings herein to better diversify their wine portfolio, while auction houses could better anticipate their future sales based on consumers’ expectation.     

Analysing Firm‐level Price Effects for Differentiated Products: The Case of Australian Wine Producers

The paper discusses and illustrates estimation methods for identifying and modelling the influence of producers on the prices for a differentiated product. A two‐step fixed effects approach is contrasted to the random effects specification. The techniques are employed to analyse prices for over 260 Australian premium wine producers. The fixed effects specification is preferred given significant correlation between wine attributes and random producer effects. The estimation of fixed producer price effects identifies statistically significant price premiums and discounts, which average 15%. Fixed producer price effects are estimated to depend on the quality reputation of the producer, its level of experience, producer size and the use of multibrands by conglomerates. In part, results indicate that price discounts are associated with producers who have low‐quality reputations, are small and recently established.     

Semiparametric versus parametric hedonic wine price models: an empirical investigation

In this article, we conduct formal statistical tests to compare a semiparametric hedonic wine price model with its parametric counterpart using a Canadian data set. The relevant test results turn out to be overwhelmingly in favour of the semiparametric specification. The estimated semiparametric model also provides clear evidence of nonlinearity between wine prices and quality when other wine attributes are controlled for.     

THE DETERMINANTS OF PRICE IN ONLINE AUCTIONS: MORE EVIDENCE FROM QUANTILE REGRESSION

This study explores how seller reputations affect auction prices and concludes that earlier findings may be biased due to the misspecification of seller reputation. This paper contributes to the literature by offering significant empirical evidence using Taiwanese internet auction data. Our study reveals that the influence of seller reputations on auction prices is significant, irrespective of the assumptions of linear or non‐linear relationships with price. However, failure to consider the non‐linear setting of seller reputation leads us to underestimate the impact of reputation when the seller's reputation score is low, but overestimates it when the seller's reputation becomes high. Using quantile regression, this study finds evidence of considerable differences in their impact on auction prices that are dependent on the distribution of price levels.     

Hedonic Wine Price Functions and Measurement Error

Accumulated theoretical and empirical evidence suggests that wine prices depend on quality, reputation and objective characteristics. Unlike previous studies, we recognize that quality and reputation are latent constructs and therefore employ factor analysis and 2SLS techniques to consistently estimate hedonic prices in the presence of attributes measured with error. The application to Australian premium wines points to significant reputation effects but insignificant quality effects. It is also illustrated that inappropriately using standard OLS procedures can seriously distort the statistical significance of attributes, the implicit marginal attribute prices, and the predictions of 'average' prices for a given set of characteristics.     

Relative importance of sectoral and aggregate sources of price changes

This paper estimates a dynamic common factor model to assess relative importance of the aggregate and the sector-specific factors that determine changes in the prices of individual products. It also examines how aggregate price changes are affected by these factors. Two different specifications of the model are estimated: the baseline model with one aggregate factor, and a second specification with two aggregate factors. In the one-actor model, the aggregate factor contributes little to the movements of changes in prices, mostly of nondurable goods whereas it seems to have important contributions to the movements of changes in prices of commodity groups mainly used as intermediate or capital goods. In the specification with two aggregate factors, the additional factor has significant effects on changes in prices of ‘farm products’ and ‘processed foods and feeds’ only. Forecast-error variance decompositions of both aggregate and disaggregate price changes suggest that sectoral factors account for most of the variability at short horizons while the contributions of the aggregate factors increase as the time horizon lengthens. The results also show that sectoral factors are not only important for relative price changes but also have significant impact on aggregate inflation. The estimated common factors have statistically significant correlations with money growth and changes in the unemployment rate.     

美元、石油和金属价格——基于VAR模型的实证研究

近年来,美元贬值以及石油价格上涨一直被认为是造成有色金属价格上涨的两个可能的原因。在这一背景下,笔者采用VAR模型分析了美元价值和石油价格变化对我国铜、黄金、白银等金属价格的冲击影响,以及在此冲击下三种金属价格间的相互影响关系。结果表明:美元价值以及黄金和白银二者之间的相互影响关系在很大程度上决定了我国黄金和白银的价格行为;而美元、石油、黄金以及白银价格的变化对于我国铜金属价格的冲击尽管是显著的,但是四者均不是铜金属价格上涨的主要原因。     

Product Emulation Strategies in The Presence of Reputation Effects And Network Externalities: Some Evidence From The Minicomputer Industry

A model of firm performance in the minicomputer industry is developed and estimated. We use an hedonic price formulation to analyze product design and pricing issues and a market share model to assess the demand effects of price-performance characteristics, installed base advantages and manufacturer reputation. The results, which are based on 1976–1983 data, demonstrate the importance of network externalities, price-performance competition and reputation. We utilize the estimated models to quantify the implications of several emulation strategies and several defensive strategies of incumbent manufacturers.     

Advertising and US alcoholic beverage demand: system-wide estimates

The effects of advertising on consumption of alcoholic beverages in the US are analysed. The goal is to obtain evidence on the importance of advertising at the level of beverage demand(beer, wine, spirits) and for total consumption of alcohol (per capita gallons of ethanol). A three-equation conditional demand system is estimated that includes own- and cros-beverage advertising as explanatory variables. Four models of the differential demand system are estimated, including the Rotterdam, AID, CBS, and NBR models, using annual US data for the period 1964-90 on beverage consumption, prices, expednitures, and real advertising. Estimates are obtained of the complete matrix of own- and cross-elascities for each beverage’ price and advertising. At the beverage level, the results indicate a positive butr very small effect of advertising on beverage consumption, with most of the impact due to wine advertising and non due to beer advertising. There is no efect of advertising in the composite demand function for alcohol. Hence, the results from system-wide modelling suggest that alcohol advertising serves to reallocate brand sales, with no effect on total ethanol consumption and very small effects on beverage consumption.     

Dynamics of fine wine and asset prices: evidence from short- and long-run co-movements

This article examines short- and long-term price linkages among the majority of fine wine and equity markets over the period of 2003 to 2012. We do not consider the price index (LIV-EX 100 or 500), as is typically undertaken in previous studies, but rather examine the auction price series of the world’s most traded wine-vintage pairs (5 Bordeaux first growth, 8 Bordeaux second growth, 5 Burgundy, 3 Rhone, 4 Italian, 5 Californian, 1 Australian and 1 Portuguese). A global equity index is also included using the Morgan Stanley Capital International World. Cointegration procedures, the Granger non-causality test, and ECM are used to analyse short- and long-run relationships among these markets. The results indicate a strong effect of financial markets on wine prices and short-term causality for certain wines. Moreover, the findings indicate short-run causality between the wines themselves, revealing a leader (exogenous) or follower (endogenous) status of certain fine wines in price dynamics, and also long-run causality for endogenous wines. This approach is relevant to portfolio diversification strategies and allows price movements to be anticipated more accurately than using an index approach.     

声誉、搜寻成本与网上交易市场均衡

本文在搜寻理论的框架内分析了在卖家声誉存在差异的情况下,网上拍卖市场搜寻成本对价格水平和价格离差的影响,进而考察了搜寻成本对网上市场声誉机制的影响。本文的结论是:尽管搜索工具提高了网上交易市场的效率,但网上交易市场仍存在不可忽视的搜寻成本;较高的搜寻成本导致不同声誉水平的卖家同时存在于网上交易市场,高声誉卖家制定的价格较高,低声誉卖家制定的价格较低;搜寻效率的提高可以降低均衡价格水平,网站提供的推广服务也可以降低搜寻成本,降低均衡价格水平。模型很好地解释了网上拍卖市场中的一些现象,也与最近文献的经验事实有较好的吻合。     

Determinants of retail wine prices: evidence from Cyprus

This study uses a detailed panel dataset for the Cyprus wine market and a fixed effects simultaneous equations model specification to investigate retail wine price determinants. Our results show that producers’ pricing policies tend to be influenced more by the level of market concentration in the wine and retail industries than by competitors’ price movements. We propose a sales response model to identify the impact of marketing drivers on sales. Wine consumption in Cyprus is unit elastic, but the impact of competitive prices and retail distribution coverage on sales is small.     

USLNG FUTURES INSTRUMENT PRICES TO TARGET NOMINAL INCOME

Nominal GNP targeting offers the advantage of allowing monetary policymakers to offset velocity shocks and cushion the impact of autonomous price shocks. Instability associated with the recognition lag can be minimized by fixing a futures instrument price linked to nominal GNP. In fact, if financial markets arc efficient, then a policy of fixing futures instrument prices would seem preferable to a policy feedback mechanism for any economic aggregate target which involves a recognition lag. This conclusion is robust with respect to a wide range of macroeconomic models.     

The asymmetric impacts of monetary policy on housing prices: A viewpoint of housing price rigidity

Previous studies have discovered the defensive characteristics of housing prices, which is also known as downward price rigidity. This paper discusses whether this feature would result in an asymmetric relationship between housing prices and monetary policy. This paper first uses the loss aversion behavior of traders to assess the viability of housing price rigidity in the housing market and to deduce further that if downward housing price rigidity actually existed, then the impact of monetary policy on housing prices should be asymmetric. For empirical tests, this paper uses data from the UK housing market and then uses the money supply as the proxy variable of monetary policy. The relationships between these two variables are observed. This paper performs estimation using both traditional and threshold error correction models by comparing the coefficients of both models. The results indicate that housing price is indeed asymmetrically adjusted to money supply. When housing prices increase to reflect a loose monetary policy, a modification behavior is evident. Conversely, housing prices cannot easily reflect a tight monetary policy. This result indicates that housing prices tend to overreact in upturn and underreact in downturn. The results imply that when implementing relevant policies for the housing market, the government should consider the asymmetry of housing price changes. Otherwise, the situation can easily result in the creation of a bubble or the collapse of the housing market because of incorrect policies.     

Alternative Land-Price Indexes for Commercial Properties in Tokyo

The System of National Accounts (SNA) requires separate estimates for the land and structure components of a commercial property. Using transactions data for the sales of office buildings in Tokyo, a hedonic regression model (the “builder’s model”) was estimated and this model generated an overall property price index as well as subindexes for the land and structure components of the office buildings. The builder’s model was also estimated using appraisal data on office building real estate investment trusts (REITs) for Tokyo. These hedonic regression models also generated estimates for net depreciation rates, which can be compared. Finally, the Japanese government constructs annual official land prices for commercial properties based on appraised values. The paper compares these official land prices with the land prices generated by the hedonic regression models based on transactions data and on REIT data. The results reveal that commercial property indexes based on appraisal and assessment prices lag behind the indexes based on transaction prices.     

Forecasting Bordeaux wine prices using state-space methods

Generic Bordeaux red wine (basic claret) can be regarded as being similar to an agricultural commodity. Production volumes are substantial, they are traded at high frequency and the quality of the product is relatively homogeneous. Unlike other commodities and the top-end wines (which represent only 3% of the traded volume), there is no futures market for generic Bordeaux wine. Reliable forecasts of prices can to large extent replace this information deficiency and improve the functioning of the market. We use state-space methods with monthly data to obtain a univariate forecasting model for the average price. The estimates highlight the stochastic trend and the seasonality present in the evolution of the price over the period 1999 to 2016. The model predicts the path of wine prices out of sample reasonably well, suggesting that this approach is useful for making reasonably accurate forecasts of future price movements.     

Are mortgage lenders guilty of the housing bubble? A UK perspective

Existing theoretical models of house prices and credit rely on continuous rationality of consumers, an assumption that has been frequently questioned in recent years. Meanwhile, empirical investigations of the relationship between prices and credit are often based on national-level data, which is then tested for structural breaks and asymmetric responses, usually with subsamples. Earlier author argues that local markets are structurally different from one another and so the coefficients of any estimated housing market model should vary from region to region. We investigate differences in the price–credit relationship for 12 regions of the UK. Markov-switching is introduced to capture asymmetric market behaviours and turning points. Results show that credit abundance had a large impact on house prices in Greater London and nearby regions alongside a strong positive feedback effect from past house price movements. This impact is even larger in Greater London and the South East of England when house prices are falling, which are the only instances where the credit effect is more prominent than the positive feedback effect. A strong positive feedback effect from past lending activity is also present in the loan dynamics. Furthermore, bubble probabilities extracted using a discrete Kalman filter neatly capture market turning points.