Price behaviour in the Italian manufacturing industry

This paper sets out to test the hypothesis that the price-cost margins of Italian manufacturing industries are influenced by excess domestic demand and by international prices of manufactured products. Using annual data (1956–1982) a mark-up equation is estimated for each of the twelve industries in which the manufacturing sector has been disaggregated. The ratio of industry price to average total cost is functionally related to the ratio of international price to domestic cost and a measure of excess demand. On the basis of the estimates, which are obtained by Maximum Likelihood techniques, and some specification tests, it is concluded that both factors influence pricing behaviour although their effect is not uniformly significant in every sector.     

Optimal pricing when rational consumers anticipate monitoring cost

This article considers a monopolistic firm’s optimal pricing decision over two periods among dynamic pricing, preannounced pricing and single pricing. In the models, consumers rationally determine whether to exhibit strategic waiting by weighing their costs against prospectively lower price. Our analysis yields three main results. First, single pricing that completely eliminates strategic waiting surely would be dominated by intertemporal pricing when facing rational consumers. Second, preannounced pricing may actually yield lower revenue than dynamic pricing when considering its effect on the reduction of consumer monitoring cost. Only when monitoring costs under dynamic pricing and under preannounced pricing are equal, is firm revenue weakly greater under preannounced pricing than under dynamic pricing. Third, in dynamic pricing equilibrium, increasing monitoring cost may increase firm revenue, consumer surplus and social welfare simultaneously.     

Estimation of Equivalence Scales Under Convertible Rationing

This paper provides estimates of equivalence scales based on three Quadratic Almost Ideal type models of the food share with coupon resale, and on their extended versions. A chief feature of the models is the method of dealing with infrequency of zero expenditure on coupon goods through imputation. The models are applied to an Iranian wartime budget survey. The results indicate little scope for measurement error. However, they also reveal a strong cross‐section price effect, which proves robust to a variety of checks. The effect of price heterogeneity proves critical in identification of the scale estimates, providing relatively rare empirical evidence consistent with the Base Independence (BI) hypothesis. The BI food share estimates of cost of children have plausible values.     

Optimal pricing of public lotteries and comparison of competing mechanisms

This article establishes optimal pricing rules for rationing indivisible units of rival and otherwise nonexcludable goods by lottery or a hybrid of a lottery and outright sale by posted price. Given the distributional objective of maximizing expected consumer surplus, the solutions to unconstrained and constrained versions of the pricing problem may be expressed in classic inverse elasticity form, with the lottery price appearing as an entry fee, user fee or a combination of the two. Numerical analysis of a rich class of private value distributions indicates that sizable gains in expected consumer surplus can be realized over competitive pricing and zero pricing.     

Consumer allocation models: Choice of functional form

The functional form of consumer allocation models should be able to satisfy theoretical properties derived from the theory of consumer demand. The paper sketches four approaches that meet this condition. Of course, also empirical performance matters. Next to naive goodness-of-fit comparison, non-nested hypothesis testing can be employed. The latter technique is applied to a comparison of four versions of differential demand systems: the Rotterdam system, a version of the Almost Ideal Demand (AID) system, the CBS system and the NBR system. These systems are artificially nested in a more general model using scalar weights in contrast to Barten and McAleer (1991) who use matrix weights for this purpose. Annual data over the period 1921–1981 for The Netherlands for four major groups of consumer expenditure have been used for the empirical application. The CBS system dominates the others.     

The three regimes of the IS-LM model: A non-Walrasian analysis

Three different versions of the IS-LM model are generally found in the literature: A first version assumes both price and wage rigid, and excess supply on the two markets. A second version assumes a rigid wage, but a flexible price clearing the goods market. Finally, a third version assumes that both markets are cleared. We develop in this paper a synthetic model which displays the three above cases as particular regimes of the same model, by formalizing the implicit assumption of Keynesian models that the price and wage levels are rigid downwards, but flexible upwards. The resulting non-Walrasian equilibria can be of three types, which correspond to the three versions of the IS-LM model described above. In each case we show how production and employment are determined, and compute the multipliers for fiscal and monetary policy. Finally, the parameter space is partitioned into three subregions corresponding to each regime.     

Re-testing Prebisch–Singer hypothesis: new evidence using Fourier quantile unit root test

The Prebisch–Singer hypothesis in economics asserts that over time the relative price of primary goods relative to manufactured goods should experience a downward trend. To test the hypothesis, we must first establish the unit root properties of the relative price term and then regress the stationary series on a trend term. We use the quantile unit root test which allows for both smooth unknown numbers and the form of breaks in the trend function through a Fourier function to show that the relative price of 23 out of 24 primary goods is stationary. However, the Prebisch–Singer hypothesis is supported only in half of the primary commodities.     

Non‐Homothetic Multisector Growth Models

Multisector growth (MSG) models are dynamic versions of computable general equilibrium (CGE) models. Non‐homothetic preference (utility) functions are required for the evolution of factor allocations and industrial structures in accordance with consumption expenditure patterns implied by the non‐unitary income elasticities observed in all budget data since Engel in the 1850s. But comparative static general equilibrium solutions and particularly solving the dynamics of MSG models require explicit specifications of all demand and cost (price) functions. On the demand side, the constant differences of elasticity of substitution (CDES) non‐homothetic indirect utility functions and Roy's identity provide the explicit Marshallian demand functions and budget shares. Sectorial constant elasticity of substitution (CES) cost functions and Shephard's lemma provide the explicit relative commodity price functions and the sectorial cost shares and capital–labor ratios. Walrasian equilibria are given by one equation and the multisector dynamics by three differential equations. Benchmark solutions are given for three cost regimes of a 10‐sector MSG model. History patterns of industrial/allocational evolutions are recognized.     

Further Evidence from Survey Data on Australian Manufacturing Price Changes*

Three data sets from two different quarterly surveys have been used in estimating six standard models of price change behaviour. Results for Total Manufacturing Industry, for all three data sets, show prices respond to both actual cost movements and commodity market excess demand conditions. For most ASIC two-digit industries, prices respond rapidly to actual cost movements, and for many industries they also respond directly to excess demand conditions. No single excess demand measure is appropriate for all industries. The magnitude of orders and inventories influences is very small, but capacity utilization contributions seem far from trivial. Industry results are frequently sensitive to the survey used and/or to the method used to weight individual firm's responses.     

Panel cointegration estimates of the user cost elasticity

The effect of user cost on the capital stock is an issue of central importance in economics, with implications for tax policy, economic development, growth, monetary policy, business cycle models, and other areas. Estimating the user cost elasticity raises serious simultaneity problems because of the large fluctuations in investment demand at business cycle frequencies. If shifts in the supply curve (due to technological change and tax reforms) are more persistent than shifts in demand, cointegration techniques, which emphasize long-run movements, can reduce the simultaneity problem. If shocks to capital demand are partially idiosyncratic, the use of firm-level panel data should also reduce the simultaneity problem. In this paper, we therefore use cointegration techniques to estimate the user cost elasticity on panel data. Specifically, we employ a newly constructed data set with a long time series of firm-level data on the capital stock and with detailed industry-specific data on the interest rate, the price of investment goods, risk, and taxes.     

Manufacturer's pricing strategy in a two-level supply chain with competing retailers and advertising cost dependent demand

The paper studies a two-echelon supply chain comprising one manufacturer and two competing retailers with advertising cost dependent demand. The manufacturer acts as the Stackelberg leader who specifies wholesale price for each retailer. The two retailers compete with each other in advertising and they have different sales costs. The manufacturer uses one of the following two pricing strategies: (i) setting the same wholesale price for both the retailers irrespective of the difference in their sales costs; (ii) setting different wholesale prices for the retailers depending on their sales costs. Two models are developed. In the first model, the manufacturer shares a fraction of each retailer's advertising cost while in the second model, the manufacturer does not share any retailer's advertising expenses. In both the models, we derive the retailers' and manufacturer's optimal strategies. A numerical example is given to illustrate the theoretical results developed in each model. Computational results show that it is always beneficial for the manufacturer to adopt different wholesale pricing strategy for the retailers.     

Bitcoin price and its marginal cost of production: support for a fundamental value

This study back-tests a marginal cost of production model proposed to value the digital currency Bitcoin. Results from both conventional regression and vector autoregression (VAR) models show that the marginal cost of production plays an important role in explaining Bitcoin prices, challenging recent allegations that Bitcoins are essentially worthless. Even with markets pricing Bitcoin in the thousands of dollars each, the valuation model seems robust. The data show that a price bubble that began in the Fall of 2017 resolved itself in early 2018, converging with the marginal cost model. This suggests that while bubbles may appear in the Bitcoin market, prices will tend to this bound and not collapse to zero.     

The analysis of consumer demand in Greece. Model selection and dynamic specification

The paper analyses the pattern of consumer demand in Greece exploring systematically the questions of the functional form of demand that best fits the data, the appropriate dynamic structure and the empirical validity of the constraints of demand theory. A general dynamic Almost Ideal demand model for four categories of consumer non-durables for the period 1958–1994 is estimated. The maintained specification rejects the static AI, its counterparts implied by the partial adjustment and autoregressive disturbances models and, upon applying a non-nested test, the Rotterdam specification. However, it cannot reject homogeneity and symmetry nor the hypothesis of structural stability.     

Network externalities, discrete demand shifts, and submarginal‐cost pricing

Abstract.  The introduction of a new product often causes a massive (discrete) demand shift to the new product. This study demonstrates that if a large‐scale demand shift to a new product is accompanied by network externalities, it may result in 'submarginal‐cost pricing,' by which the seller sets its price below the marginal cost. This finding casts new light on dumping and safeguard issues in the real world. JEL classification: D42     

How do firms adjust their prices in Turkey? Micro-level evidence

This article investigates the pricing behaviour of Turkish firms over the period 1988–2006 on the basis of firm-level micro data. The duration of prices is found to be 3.9 months on average. There is no clear heterogeneity across main groupings in the frequency of price changes, but more dependence on imported goods reduces price stickiness. Price decreases are less frequent than price increases, indicating downward rigidity in prices. There is evidence in favour of both time and state-dependent price setting behaviours. Further, there is a low degree of synchronization of price changes across firms, whereas price increases tend to be more synchronized than price decreases. Ordered probit models show that price adjustments depend on the type of the shock: the pass-through of a change in the cost is faster than changing demand. Besides, estimated probabilities of price adjustments with 5-years rolling windows reveal that inflation targeting has succeeded in bringing down the probability of price increases, whereas downward price rigidity has not weakened yet.     

Dynamic adjustment of supply under Buyers' forced substitution

This paper presents a dynamic version of the static model analysed in Chapter 8 of Kornai (1980). A multi-commodity model is considered, where global excess supply prevails but excess demand persists for certain goods. It is assumed that the goods are storable, and the buyer purchases more than his demand fornon-shortage goods (he makes forced substitution) to satisfy his global demand.This paper investigates the seller's adjustment process and presents alternative assumptions for the supply, the demand, and the allocation rule under which the shortage disappears in a finite period of time.My indebtedness to J. Kornai is multi-sided: it was he, who formalized the theory: it was he, who created the underlying static model, finally the idea of the dynamic analysis is also due to him. I express my obligations to J. Kornai, B. Martos and an anonymous referee for their comments on an earlier version of my paper. Of course, I am alone responsible for any shortcomings of the model.     

Testing misspecified non-nested factor demand systems: Some Monte Carlo results

Empirical factor demand analysis is a topic in which a choice must be made among several competing non-nested functional forms. Each of the commonly used factor demand systems, such as Translog, Generalized Leontief, Quadratic, and Generalized McFadden, exhibits statistical inadequacy when tested for the absence of residual autocorrelation, homoskedasticity and normality. This does not necessarily imply that the whole system is invalid, especially if misspecification affects only a subset of the equations forming the entire system. Since there is no theoretical guidance on how to select the model which is most able to capture the relevant features of the data, formal testing procedures can be useful. In the literature, paired and joint univariate non-nested tests (e.g. Davidson-MacKinnon's J and P tests, Bera-McAleer test and Barten-McAleer test) have been discussed at length, whereas virtually no attention has been paid to multivariate non-nested tests. In this paper we show how multivariate non-nested tests can be derived from their univariate counterparts, and we apply these tests to compare alternative factor demand systems. Since the outcome of a non-nested test is likely to be influenced by the type of misspecification affecting the competing models, we investigate the empirical performance of a multivariate non-nested test using new Monte Carlo experiments. The competing models are compared indirectly via a statistically adequate model which is considered as if it were the DGP. Under such circumstances, the distribution of the non-nested test of an incorrect null, when it is evaluated at the DGP, tends to be closer to the distribution of the test under the correct null, at least in small samples. A non-nested test is expected to select the model which is closest to the DGP. Moreover, we investigate the empirical behaviour of a non-nested test when the DGP has, in turn, autoregressive, heteroskedastic and non-normal errors. Finally, we provide some suggestions for the applied researcher. First version received: November 1999/Final version received: May 2001     

A note on implicit inventory behavior in cyclical macroeconomic models with excess demand

The paper is concerned with dynamic models that allow for non-zero excess demand on goods markets but abstain from considering possible feedback effects of stock-piling. That is, inventories are only implicitly determined. Consistency requires that they do not fall below zero and, relative to output, do not grow beyond all bounds. With respect to periodic motions, conditions for consistency as well as for inconsistency are derived. It is indicated that a priori, in particular in the presence of long-run growth, inconsistency may not be an exception.     

The cost of capital,asset prices,and the effects of monetary policy

The primary objective of this paper is to study the interaction between monetary policy, asset prices, and the cost of capital. In particular, we explore this issue in a setting where individuals face idiosyncratic risk. Incomplete information also provides a transactions role for money so that monetary policy can be studied. In contrast to standard monetary growth models which focus on the transmission of monetary policy to the demand for capital goods, we incorporate a separate capital goods sector so that the supply response to monetary policy is taken into account. Consequently, in contrast to the standard monetary growth model, monetary policy plays an important role in investment activity through the relative price of capital goods. Moreover, different sources of productivity can affect the degree of risk sharing. Although the optimal money growth rate falls in response to an increase in productivity in either sector of the economy, monetary policy should react more aggressively to the level of productivity in the capital sector.     

Numeraire choice in normalized quadratic functional forms

A semi-nested test procedure is developed for choosing the numeraire for a normalized quadratic profit function when too few observations exist for nested hypothesis testing and when too many alternatives exis for conventional non-nested testing. Sensitivity of empirical results to choice of numeraire price is examined using agricultural data for the US and ten multistate regions. Few test conclusions vary by numeraire but own price input demand elasticities differ greatly.