Estimating a socially optimal water price for irrigation versus an environmentally optimal water price through the use of Geographical Information Systems and Social Accounting Matrices

This article develops a method for establishing water prices and their effects in order to provide policy makers an environmentally and socially optimal range of regional prices for irrigation water. Two prices are determined. The “environmentally optimal price” of water is defined as the one that internalizes the environmental costs generated by agricultural consumption. The “social optimally price” of water is defined as the one that maximizes levies on water for agriculture without affecting the regional economy. The environmentally optimal price is calculated with an economic model built over a Geographical Information System (GIS) that allows the economic quantification and valuation of the environmental cost of water in different basins. The optimal price is calculated with a demand curve for irrigation water introduced into a Social Accounting Matrix (SAM) to observe if the regional economy can accept higher prices without affecting the regional GDP. Potential water prices are established, ranging from prices that minimize the negative impact in the regional economy to those that totally internalize the environmental cost of water.     

The value relevance of brand valuation

The reports published by independent parties are often used to provide an estimation of brands due to the lack of literature and best practices regarding which brand valuation method is more value relevant and reliable than another. Over the last several years, brand valuation debate is growing in importance because of the need to provide a value of intangibles for different purposes. The purpose of this study is two-fold. First, we aim to understand whether brand valuation related to listed companies provided by three independent agencies is value relevant and therefore whether these brand valuations are taken into consideration by investors in their decision-making process. Second, we assess which of the three methods reflects the stock markets in a better way. We analyse a sample of 71 brands valuated by Interbrand, Brand Finance and BrandZ from 2013 to 2015. The results show that brand valuation provided by the independent agencies is value relevant; in addition, they reveal that the Brand Finance method, based on the royalty relief approach, is more value relevant than the others. This study contributes to the extant literature on value relevance by providing evidence on the impact of stock prices of brand agencies’ valuation.     

A REVIEW OF SELECTED ASPECTS OF THE UNITED NATIONS SYSTEM OF NATIONAL ACCOUNTS IN THE LIGHT OF COUNTRIES’ EXPERIENCES*

A review of the United Nations System of National Accounts and its implementation by countries is presently being conducted at the United Nations Statistical Office. This article presents a personal and selective account by the author of the results of that review and its consequences for the present structure of the SNA. Information is included on the level of response by countries for the tables of the SNA national accounts questionnaire. It shows that this response is at present sparce, except for the tables on GDP by end use, cost structure and kind of economic activity. On the more detailed level the feasibility of introducing integrated sector accounts into the system has been examined and different approaches compared. Country practices suggest that one way of facilitating the introduction of such accounts would be to eliminate one essential feature of the dual classification of the SNA, i.e., the distinction between quasi-corporate and other unincorporated enterprises. Other modifications of the SNA structure implied below are the introduction on a limited scale of articulation of transactions, the inclusion of additional aggregate income and balancing items, a reallocation of data between the main accounts and the supporting tables, and a better integration of the SNA matrix with the accounts and tables of the system. A reduction of the present number of independent classifications in the SNA is suggested, based on links between categories of different classifications that are assumed in country responses to the questionnaire. A suggestion is made for a uniform valuation of goods and services and income flows, to replace the present complex valuation guidelines on approximate basic and factor values and producers’ prices.     

Modelling price pressure in financial markets

We present experimental evidence that, unlike traditional assumptions in economic theory, security prices do not respond to pressure from their own excess demand. Instead, prices respond to excess demand of all securities, despite the absence of a direct link between markets. We propose a model of price pressure that explains these findings. In our model, agents set order prices that reflect the marginal valuation of desired future holdings, called “aspiration levels.”In the short run, as agents encounter difficulties executing their orders, they scale back their aspiration levels. Marginal valuations, order prices, and hence, transaction prices change correspondingly. The resulting price adjustment process coincides with the Global Newton Method. The assumptions of the model as well as its empirical implications are fully borne out by the data. Our model thus provides an economic foundation for why markets appear to search for equilibrium according to Newton’s procedure.     

HOW TO MEASURE LIVING STANDARDS AND PRODUCTIVITY

I set out a general algorithm for calculating true cost‐of‐living indices when demand is not homothetic and when the number of products may be large. The non‐homothetic case is the important one empirically (Engel's Law). The algorithm can be applied in both time series and cross section. It can also be used to estimate true producer price indices and Total Factor Productivity in the presence of input‐biased economies of scale and technical change. The basic idea is to calculate a chain index of prices but with actual budget (cost) shares replaced by compensated shares, i.e. what the shares would have been if consumers (firms) faced actual prices but their utility (output) were held constant at some reference level. The compensated shares can be derived econometrically from the same data as are required for the construction of conventional index numbers. The algorithm is illustrated by applying it to estimating true PPPs for 141 countries and 100 products within household consumption, using data from the World Bank's latest International Comparison Program.     

COMMODITY BALANCES AND NATIONAL ACCOUNTS: A SAM PERSPECTIVE

This paper is concerned with the treatment of commodity and activity balances in a national accounts context. It makes use of a general method for reducing the size of a social accounting matrix (SAM) by apportioning the elements of one or more accounts to the rest. The national accounts are looked at in terms of their usefulness for policy analysis, not least analysis of the impact of price changes. The SNA convention of separately distinguishing activities and commodities is endorsed. However, in contrast to the SNA, it is argued that for analytic purposes commodity transactions should be recorded at market prices, with a separate account for each of the markets for a given commodity in which a distinct price prevails. The SNA SAM is shown to be a reduced form of the SAM resulting from this recommended treatment of commodity transactions, while a further round of reductions (apportionments) yields SAMs which are familiar from input-output analysis, in which activities and commodities are not separately distinguished. It is argued that no special effort would be required to produce SAMs in which commodity balances are recorded at market prices as recommended here (the necessary data are also required to produce the conventional SNA tableaux), and that all reduced form versions of such SAMs, including the SNA, are inferior as a basis for the analysis of price effects on the structure of production.     

A new estimator for trade costs and its small sample properties

This paper discusses the estimation of parameters of a traditional transportation model, as it is typically present in so-called Takayama–Judge type spatial price equilibrium models. In contrast to previously used estimation methods, observations of regional prices as well as of trade costs are used in a direct estimation of the first order conditions. The proposed method uses bi-level programming techniques to minimize a weighted least squares criterion under the restriction that the estimated parameters satisfy the Kuhn–Tucker conditions for an optimal solution of the transport model. A penalty function and a smooth reformulation are used to iteratively approximate the complementary slackness conditions. Monte-Carlo simulations are used to trace out some properties of the estimator and compare it with a traditional calibration method. The analysis shows that the proposed technique estimates prices as well as trade costs more precisely than the traditional calibration method. It is suggested to apply the same method to a range of linear and quadratic models.     

Hedonic Analysis in a Spatial Context: Theoretical Problems in Valuing Location-Specific Amenities*

Hedonic analysis is frequently implemented to generate implicit prices for location-specific amenities within single markets, either in cross-city wage differentials or in intra-city rent gradients. Amenities are shown to be generally priced in both land and labour markets, with single-market valuations tending to understate true amenity values. Establishing a correct multi-market amenity valuation model is seen to depend on the resolution of a host of additional issues.     

Did the cost of living in Canada increase faster for the rich during the period 1950–1980?

The paper computes the approximate true cost of living indexes from the time series data on price and quantity of nine broadly defined goods and services to show that the cost of living increased faster for the rich in Canada during the three decades. This is due mainly to an increase in the prices of “luxury” goods and services relative to “necessity” goods and services. These conclusions are almost identical to those of several other studies which utilize a different framework and a different time period for analysis.     

Are valuation effects desirable from a global perspective?

Recent studies have emphasized the role of valuation effects due to exchange rate movements in easing the process of adjustment of the external balance of a country. This paper asks to what extent valuation effects are desirable from a global perspective as a mean to achieve an efficient allocation of resources. In a frictionless world, it is desirable to have large movements in prices and exchange rates. But once a small degree of price rigidity is introduced not only should prices be stabilized but also the response of the exchange rate should be muted. There is a minor role for valuation effects that depends both on the size and composition of assets and liabilities.     

Warrant pricing under GARCH diffusion model

The GARCH diffusion model has attracted a great deal of attention in recent years, as it is able to describe financial time series better, when comparing to many other models. This paper considers the problem of warrant pricing when the underlying asset follows the GARCH diffusion model. An analytical approximate solution for European option prices is derived by means of Fourier transform. The approximate solution can be quickly computed by the fast Fourier transform (FFT) algorithm. Monte Carlo simulations show that this approximate solution is correct and the FFT is accurate and efficient, and hence it enables us to investigate the volatility smile implied by the GARCH diffusion model. Then a method is developed to provide the maximum likelihood (ML) estimation of the GARCH diffusion model based on the efficient importance sampling (EIS) procedure. Furthermore, the empirical performance of the GARCH diffusion model applied to the valuation of Hang Seng Index (HSI) warrants traded on the Hong Kong Stock Exchange (HKEx) is investigated. Empirical results show that the GARCH diffusion model outperforms the Black–Scholes (B–S) model in terms of the pricing accuracy, indicating that the pricing model incorporated with stochastic volatility can improve the pricing of warrants.     

Price discrimination via information provision

We study price discrimination where different prices are offered as a bundle with different levels of information about a product. The seller’s price discrimination induces high valuation buyers to purchase a good without information and low valuation buyers to purchase with information. Our analysis highlights several interesting results about price discrimination: (i) the seller’s choice of information provision is the combination of full information and no information, (ii) products can be cheaper without information provision than with information provision, (iii) as a result of price discrimination, prices can be more dispersed as buyers’ valuations become largely similar, and (iv) the high valuation buyers purchase a damaged good and may earn negative surplus. Furthermore, we investigate under which circumstances price discrimination is more profitable than uniform pricing. We show that a decline in transportation costs which facilitate price discrimination can be welfare reducing.     

Does the vector error correction model perform better than others in forecasting stock price? An application of residual income valuation theory

This paper employs a multi-equation model approach to consider three statistic problems (heteroskedasticity, endogeneity and persistency), which are sources of bias and inefficiency in the predictive regression models. This paper applied the residual income valuation model (RIM) proposed by Ohlson (1995) to forecast stock prices for Taiwan three sectors. We compare relative forecasting accuracy of vector error correction model (VECM) with the vector autoregressive model (VAR) as well as OLS and RW models used in the prior studies. We conduct out-of-sample forecasting and employ two instruments to assess forecasting performance. Our empirical results suggest that the VECM statistically outperforms other three models in forecasting stock prices. When forecasting horizons extend longer, VECM produces smaller forecasting errors and performs substantially better than VAR, suggesting that the ability of VECM to improve VAR forecast accuracy is stronger with longer horizons. These findings imply that an error correction term (ECT) of the VECM contributes to improving forecast accuracy of stock prices. Our economic significance analyses and robustness tests for different data frequency are in favor of the superiority of VECM estimator.     

Empirical Analysis of Limit Order Markets

We provide empirical restrictions of a model of optimal order submissions in a limit order market. A trader's optimal order submission depends on the trader's valuation for the asset and the trade-offs between order prices, execution probabilities and picking off risks. The optimal order submission strategy is a monotone function of a trader's valuation for the asset. We test the monotonicity restriction in a sample of order submissions and their realized outcomes from the Stockholm Stock Exchange. We do not reject the monotonicity restriction for buy orders or sell orders considered separately, but reject the monotonicity restriction for buy and sell orders considered jointly.     

INDEX NUMBERS AND THE COMPUTATION OF FACTOR PRODUCTIVITY1

For purposes of analyzing the nature and meaning of index number formulas to be used in the calculation of factor productivity, a distinction is made between interetemporal comparison of factor productivity for a single country and contemporaneous comparison of factor productivity in two different countries. In the former case, the country in question is supposed ideally to be realizing fully its production possibilities, and the concern is seen as appraisal of shifts in such possibilities over time due to the advance of technological knowledge. Following Moorsteen such an advance is taken to be represented by the change in capacity to produce a standard mix of outputs per unit of a standard mix of inputs. Any mix might be standard, but those actually realized at the times in question are of particular interest. The index number formulas to be applied then depend on the assumed shape of the functions representing production possibilities. The conventional practice of aggregating output arithmetically and inputs geometrically, for example, is in order where production possibilities are given by an elaborated Cobb-Douglas function, but achieves only more or less approximate results otherwise. The analysis necessarily bears also on the prices at which inputs and outputs are to be valued. For the case of contemporaneous comparison of different countries, technological knowledge is taken ideally to be the same in the countries considered. Hence the concern is to gauge differences in production efficiency, i.e., realization of production possibilities. With production capacity understood to reflect any shortfall from possibilities, and hence production inefficiency in that sense, the analysis proceeds much as before, but given the fact of inefficiency determination of suitable prices for valuation of inputs and outputs becomes relatively difficult. Alternative expedients, none entirely satisfactory, are explored.     

PRICES AND PRICE ANALYSIS IN THE FRAMEWORK OF THE NATIONAL ACCOUNTS

The paper discusses the role of prices in the framework of the new System of National Accounts (SNA) in terms of three major uses: (1) deflation, (2) price indicators, and (3) price analysis. Following a brief review of the price and quantity measures required by the new SNA with its emphasis on deflation of commodity flows and input-output accounts, in addition to the more conventional deflation of final demand categories, the paper discusses some of the conceptual, methodological and data problems involved in implementing the various uses of prices in the new SNA. Implementing the use of prices as deflators depends, in part, on the concept of output selected (national versus domestic; gross versus net), and which of six concepts of valuation, ranging from purchasers'value to true factor cost, is used. Some of the difficulties in deflating nonmarket flows (e.g., interplant transfers) and industry value added, based on the double deflation method, are discussed. In concept price deflators, which have shifting weights, cannot be used as price indicators, which should have fixed weights. In practice, this is often disregarded and the deflators are used as price indicators. The paper support the SNA recommendation for the development of price indexes with fixed weights to be used as price indicators, in addition to the implicit price deflators. Research in the United States indicates that differences in weights can result in different price measures for various subperiods, components of demand and sector output. Periodic revisions in weights to provide more current fixed weights for price and quantity indexes in each subperiod may minimize the problem but it introduces a new problem—lack of comparability with the constant price tables in the SNA which have fixed weights for the entire period. The new SNA provides a comprehensive and integrated framework for price analysis including the analysis of the structure of aggregate price changes, the industrial origin of final demand prices, and the impact of price change in one sector of the economy on the rest of the economy. Some major gaps which need to be overcome in order to implement the use of the new SNA for price analysis include the development of industry capital stock estimates, separate estimates of proprietors’income, reconciliation of value added and distribution share estimates, and the development of a wide variety of information to supplement the conventional input-output tables in the SNA. Implementing the various objectives of price measures within the framework of the accounts will require a number of improvements in existing price measures and expanding the scope of coverage. “List” prices should be superseded by “transactions” prices and better techniques and data need to be developed to provide for quality adjustment of prices. Coverage will need to be expanded to include services, freight rates, trade margins, government expenditures, and also fill in gaps for many manufactured products. Finally, where possible, use of unit values as price indexes or deflators, e.g., imports and exports, should be replaced by direct price measures.     

Food Prices Policy in Israel: A Strategic Instrument

Abstract:

The goal of this research is to demonstrate a significant importance of state policy of food prices supervision in Israel. The article begins with a detailed discussion of the healthy food basket’s components, based on the Israeli Ministry of Health recommendations. Next, we present the prices of the goods included in the basket, and a calculated estimate of the per capita cost of funding the basket. Based on this cost figure, we assess the economic ability of Israeli households to purchase the basket. The results show that two lowest quintiles would have trouble paying the price of a basic health food basket. Further, it describes the food prices in Israel and its significance, Israel’s food market and the major regulatory tools associated with the food market. In the end, we define the need for short-term and longer-term regulation of food costs, and the necessity of expanding competition in the food market.     

AN INDEX NUMBER APPROACH TO THE INTERNATIONAL COMPARISON OF CONSUMPTION: WESTERN EUROPE AND THE UNITED STATES*

The quantity index comparing the per capita consumption of one country vis-à-vis the other often gives widely different figures, depending on which country's prices are used as “weights”. In this paper, this gap between two quantity indexes is divided into a substitution effect and an income effect by assuming common tastes between nations. For this division, we estimate the points of over-compensated variation and under-compensated variation in income from Gilbert and Kravis’data. The results of our estimation show that the income effect is smaller than the substitution effect. But the sign of the income effect indicates that this effect is generally in the same direction as the difference between two quantity indexes. Translated into the Bortkiewicz covariance, this means that the income elasticities are inversely related to the relative prices; the higher the income elasticity of a good, the lower is its price in the high income country relative to the low income country. Since we only approximate the points of exactly compensated variation in income, we cannot estimate “true” quantity indexes. However, our result implies that the two indexes in Gilbert and Kravis’data do form the upper and lower boundaries to the true index-numbers.     

Bounded dividends, earnings and fundamental stock values

This paper applies a model of fundamental share prices based on a bounded dividends process, with earnings as the upper bound, to assess the deviations of actual prices for over- and under-valuations. The fundamental model extends the traditional present value of future dividends analysis to allow for the effect of an earnings-dividends trade-off effect. The simple fundamental model includes a closed form share price solution which may be calibrated to generate fundamental values from which to assess actual prices for over or under valuations. The properties of the model are explored with a simulation example. The empirical example is based on S&P data and the analysis provides evidence of persistent over-valuations since the late 1990’s. Expressed another way, the analysis highlights the role of factors, other than dividends and earnings in the determination of actual asset prices since the late 1990s.     

Improvement of a Bio-Economic Mathematical Programming Model in the Case of On-Farm Source Inputs and Outputs

We present a two-step process for solving nonlinear farm activity models inside a linear framework under the assumption that market prices approximate the shadow prices of the model’s constraints. In the event of market imperfections or missing prices (for example non-marketed outputs), the previous assumption is not justified and the derived solution is not optimal. To circumvent this problem and to avoid nonlinear algorithms that may prove unwieldy for large models, we propose an iterative computation method, based on the re-estimation of shadow prices in each step until a converging solution is found. The method is applied to the bio-economic model AROPAj, which consists of a number of linear programming (LP) farm sub-models representing different farming systems across the European Union. For most of LPs producing non-marketed outputs a converging solution is obtained in two iterations, while the remaining LPs lead to periodic solutions of very low amplitude.