A dynamic model of demand for Mediterranean tourism

A dynamic econometric model was specified in order to estimate tourism consumption changes by Northern European countries and the USA for major Mediterranean destinations. The model employed a flexible framework for modelling short-term dynamics as well as the long run effects of a range of variables of specific interest to the countries considered. The estimated model provided useful information for tourism demand. The income elasticities demonstrated considerable differences in tourism demand preferences between origin countries and between traditional and newly developing destinations. The own and substitute price elasticities indicated the importance of effective prices in determining tourism receipts of the destinations.     

An empirical study of outbound tourism demand in the UK

A general to specific methodology is used to construct UK demand for outbound tourism models to twelve destinations. A tourism destination preference index is introduced to take into account social, cultural and psychological influences on tourists' decisions concerning their overseas holiday destinations. The tests support the existence of a cointegration relationship for each of 11 UK overseas holiday destinations. The corresponding error correction models are estimated. The empirical results show that the long-run income elasticities for all destinations range from 1.70 to 3.90 with an average of 2.367. The lowest and highest short-run income elasticities are 1.05 and 3.78 respectively, with an average of 2.216. The estimates of the income elasticities imply that overseas holidays are highly income elastic while the own-price elasticities suggest that the demand for UK outbound tourism is relatively own-price inelastic. In terms of the significance of substitution prices in the regression equations, Ireland is the favourite substitute destination for UK outbound tourists. Ex post forecasts over a period of six years are generated from the ECM models and the results compared with those of a naive model, an AR(1) model, an ARMA(p,q) model, and a VAR model. The forecasting performance criteria show that the ECM model has the best overall forecasting performance for UK outbound tourism.     

Sun,sand and September 11: a model of tourism demand for the Maldives

Tourism is a key source of income for many small island economies, and so it is important to understand its determinants in such countries. We estimate a tourism demand model for the Maldives’ five main source markets and find that, in addition to the usual foreign income and own price variables, the cost of travel and of visiting alternative destinations (often missing from studies of this nature) almost always have a significant role. In addition, the country’s own marketing efforts prove effective at influencing demand. Finally, we find evidence the War on Terror has persistently depressed demand from some markets.     

A system of equations model of UK tourism demand in neighbouring countries

This paper uses a system of equations model to examine tourism demand during periods of destination country transition and integration into the wider international community. The Almost Ideal Demand System model is applied to the UK demand for tourism in the neighbouring destinations, France, Spain and Portugal. Spain and Portugal are interesting cases as, during the period under consideration, they experienced a process of transition from economies with characteristics typical of developing countries, only entering the World Bank's industrialized countries classification in the 1980s. The paper examines the evolution of tourism demand during these countries' transition from ‘developing’ to ‘developed’ status. Consideration of France as a neighbouring destination also allows the behaviour of tourism demand to be compared between relatively rich and poor countries. The results show the extent to which the cross-country behaviour of demand becomes more or less similar over time with respect to changes in expenditure and effective prices. The expenditure elasticities are greater for Spain than France during the initial period, indicating that tourism can assist countries to ‘catch-up’ with their richer neighbours. However, this outcome is not always the case and may not persist, as Portugal had a low initial expenditure elasticity and Spain's relatively high expenditure elasticity decreased over time. Destinations' sensitivity to changes in their own and competitors' prices can also change over time, as indicated by the increases in the own- and cross-price elasticities for Spain, compared with the decreases for France and Portugal. The cross-price elasticity estimates indicate substitutability between the immediate neighbours, Portugal and Spain, and France and Spain.     

Empirical analysis of corn and soybean basis in Canada

The article examines the factors affecting the basis for corn and soybeans using several time-series techniques to account for potential structural breaks, seasonality, residual serial correlation and structural breaks, as well as potential endogeneity and nonstationarity. The spatio-temporal empirical framework is based on storage and trade theories which assume the relationship between nondelivery location’s spot price and futures price of a storable commodity depends on opportunity cost of capital, warehousing costs, a convenience yield and shipping costs. The interest rate effect is strong for both crops with shipping costs also affecting soybean basis and own inventory levels positively correlated with corn basis. The effect of the wedge between the price of carrying physical grain and the maximum storage rate on basis is positive for both crops. The empirical results, which are robust to multiple estimators, provide stronger evidence of a structural break for the soybean basis than for the corn basis.     

Effect of the global financial meltdown on India’s aggregate export volumes

ABSTRACT

This paper sets up a demand-supply model to analyse India’s export performance (in terms of volumes rather than values) between 2000Q1–2014Q4. The main objective is to determine the impact of the financial meltdown of 2008 on India’s export performance. During the meltdown period, decline in price by India’s competitors in the international market resulted in (1) loss of competitiveness of India’s export goods and (2) a complete breakdown of the price mechanism affecting India’s export demand. Though export supply was not significantly affected by the meltdown episode we find evidence that exporting firms turned towards the domestic market to cope with the loss in export. The meltdown episode began to significantly affect India’s export demand and supply equations from 2009Q3. The demand and supply equations after that period became so unstable that ‘nothing worked’ for India’s exporters as they tried to counter the decline in export. Hence there was ample reason for them to panic and seek the government’s help. Government policies aimed at boosting export demand did have a positive impact on India’s export performance. Government policies to boost export supply had no impact except being palliative for the exporters at their moment of crisis     

Toward Reasonable Capitalism: The Role of John R. Commons’s Price and Business Cycle Theories

Abstract

John R. Commons thought that prices should be stable and that the law of supply and demand should be controlled by the power of the state through patent law and by protecting bargaining equality. Commons also thought that prices should be stabilized by macro monetary policy. These means would allow the realization of a “reasonable price.” Commons called the objective and measurable value in money, which is determined by a court ruling, “reasonable value.” Analysis of Commons’s price and business cycle theories point toward the realization of both “reasonable price” and “reasonable value” and toward “reasonable capitalism” that can replace banker capitalism.     

Tourism Taxes: Implications for Tourism Demand in the UK

Before one can understand tax implications for the tourism industry, one must understand the sensitivity of tourism demand. Using a recently developed theoretical framework, we model inbound tourism demand in the UK. The results suggest that tourism demand in the UK is very price sensitive and that measures which result in increasing tourism prices will have a significant negative impact on tourist arrivals. It is believed that a reduction in the VAT rate could boost UK's tourism sector, depending on the extent to which a decrease in taxation is passed on in the form of price reductions. The results also suggest that arrivals from neighboring countries are 98% higher than from distant origins; however, expenditure per capita of the former is 52% lower than the latter. We also found that common language between the origin and the destination increases arrivals 7% more than non‐native English‐speaking origins.     

The long-run behaviour of the terms of trade between primary commodities and manufactures: a panel data approach

This paper examines the Prebisch and Singer hypothesis using a panel of twenty-four commodity prices from 1900 to 2010. The modelling approach stems from the need to meet two key concerns: (i) the presence of cross-sectional dependence among commodity prices; and (ii) the identification of potential structural breaks. To address these concerns, the Hadri and Rao (Oxf Bull Econ Stat 70:245–269, 2008) test is employed. The findings suggest that all commodity prices exhibit a structural break whose location differs across series, and that support for the Prebisch and Singer hypothesis is mixed. Once the breaks are removed from the underlying series, the persistence of commodity price shocks is shorter than that obtained in other studies using alternative methodologies.     

Convergence in car prices among European countries

This article contributes to the literature on price convergence in Europe by investigating the existence of stochastic and deterministic convergence of car prices in the EU15 countries. We apply recently developed econometric techniques that allow for multiple structural breaks to an up-to-date dataset. We find considerable evidence of both types of convergence in our sample of countries and car models, therefore suggesting a tendency for relative prices to equalize over time. In addition, we find evidence regarding the importance in this convergence process of both legislative changes taking place in the years 1996 and 2002, and the implementation of Economic and Monetary Union (EMU).     

Educational attainment,growth and poverty reduction within the MDG framework: simulations and costing for the Peruvian case

Using quarterly data, 1999:Q2–2009:Q3, we empirically examine the key macro determinants of housing prices for China’s residential market. Employing Granger causality and Vector Auto-Regression (VAR) models, we find that there exists strong bivariate causality between house price increases and its determinants. The variance decomposition suggests that speculative factors reflected by past increases in real house price contribute a relatively larger proportion to house price rises relative to fundamental factors.     

Measuring persistence of U.S. city prices: new evidence from robust tests

This article revisits the empirical analysis in Cecchetti et al. (Int Econ Rev 43:1081–1099, 2002) involving long-span U.S. city prices, who estimated the persistence of U.S. price differentials to be around 9 years. After controlling for the structural breaks in the data, we find that U.S. city price level differentials are I(0) stationary processes with the median half-life of convergence ranged between 1.5 and 2.6 years, estimates that are in accordance with what should be expected from a highly integrated economy as the United States. Our results are also robust to a pairwise test of price level convergence.     

Investigation of institutional changes in the UK housing market using structural break tests and time-varying parameter models

This paper investigates the effects of institutional changes within the UK housing market in recent decades using structural break tests and time-varying parameter models. This approach is motivated by models of institutional change drawn from the political science literature which focus on the existence of both fast-moving and slow-moving institutional changes and the interactions between them as drivers of the dynamics of asset prices. As a methodological contribution, we use several time-varying parameter models for the first time in investigations of institutional change. Our findings support the existence of both structural breaks and continuous variance in parameters. This contributes to our understanding of the housing market in two respects. Firstly, the dates of structural breaks appear to better match unexpected market shocks rather than remarkable political events, and this supports prior institutional theory. Secondly, assessment of the effect of slow-moving institutional changes shows that people’s biased expectations rather than the economic fundamentals have increasingly played an important role in driving housing prices in the short run although fundamentals continue to drive house prices to converge to their long-run equilibrium.     

中国入境旅游客源地结构变化影响因素的实证研究

在构建新的旅游地引力模型基础上,以1998～2008年面板数据为例,实证分析了影响我国入境旅游地区结构变化的主要因素。结果表明,影响亚洲国家进入中国境内旅游的最重要的两个因素是我国物价水平和旅游接待能力,因此,我们要用价格支撑价值、增加旅游产品附加值等策略来降低其对价格上涨的反感程度,同时需进一步改善我国的旅游基础设施;影响欧洲和北美洲国家进入中国境内旅游的最重要因素是地理距离,故要尽可能从心理和文化上"缩短"与欧洲、北美洲国家的相对距离来提升我国的入境旅游的吸引力。     

Speculation and corn prices

It is commonly asserted that speculative trading activities are largely behind the high and volatile food commodity price behaviour since 2006. In this article, we revisit this hypothesis by investigating how different speculative measures affect our conclusion on the role of speculation. Four speculative measures are considered, including index trading activities, non-commercial net long positions, Working’s speculative index, and an excessive speculative volume index. These four measures imply different underlying hypotheses about the role of speculation on commodity price movements and encompass most of the measures used in the recent literature on the role of speculation in commodity markets. Using a structural vector autoregressive (SVAR) model, we show a mixed impact of speculative trading on corn prices depending on the measure used. While shocks to index trading activities and excess speculation as measured by Working’s T have either zero or negative impact on corn prices, a positive shock to non-commercial net positions or the Tadesse index significantly increases the price of corn. However, the magnitude of the impact is not large, at most about $0.30 per bushel in real terms. Our findings are robust to structural breaks, alternative ordering of variables, and an alternative specification of the model.     

On the Effects of Asset Purchase Programs on Emerging Stock Markets

ABSTRACT

It is well documented that there has been a relationship between stock markets and unconventional monetary policies. However, most research concentrates on developed economies and analyzes the effects of shocks from such polices on stock prices. This paper is different from this research in that we investigate the impact of surprises from the Fed’s and the ECB’s announcements on the stock returns and volatility in Gulf Cooperation Council (GCC) countries using GARCH models. We find that a positive surprise associated with a fall in the U.S. Treasury yield causes an increase in ADX returns. We show significant effects of the ECB’s shocks on price returns. In particular, announcement that induces a decline in yield spreads in Italian sovereign bonds leads to higher stock prices. We also document a significant impact of surprises both by the Fed and ECB on volatility. However, the estimates are mixed. We note that volatility went down in response to the ECB’s policies, while they increased after the Fed’s asset purchases. Finally, when we distinguish surprises by their sign, the GJR-GARCH model estimates indicate that the effect on the volatility which is, perhaps surprisingly, symmetric for both types of news.     

Monopoly Price Dispersion Under Demand Uncertainty

When a monopolist sets its price before its demand is known, then it may set more than one price and limit the availability of its output at lower prices. This article adds demand uncertainty and price rigidities to the standard model of monopoly pricing. When there are two states of demand and the ex post monopoly price is greater when demand is high then the monopolist's optimal ex ante pricing strategy is to set two prices and limit purchases at the lower price.     

Cointegration and causal relationships among steel prices of Mainland China, Taiwan, and USA in the presence of multiple structural changes

Variation in the price of steel is an important factor to take into consideration when discussing cost control and management decisions in the construction industry. We employ various conventional and advanced econometrics methods to examine the interrelationships of steel prices in three related markets during the time period June 2002 to May 2010: Mainland China (CH), Taiwan (TW), and the United States (US). We adopt the Gregory and Hansen (GH) test and regime-switching (RS) model for cointegration, both of which accommodate endogenous structural break(s), to produce a more accurate analysis of a period in the presence of structural change(s). The empirical result of the RS cointegration test with respect to multiple structural breaks suggests a long-run equilibrium relationship among the three variables considered. This finding differs from the result of the GH test but confirms the result of the conventional Johansen test. Furthermore, the results of the Granger causality test indicate that both CH and US steel prices have great influence on the TW steel price; the Taiwanese steel market is closely linked with China and US steel markets in the long run.     

Macroeconomic expectations and time varying heterogeneity:evidence from individual survey data

ABSTRACT

The goal of this paper is to investigate forecast heterogeneity and time variability in the formation of expectations using disaggregated monthly survey data on macroeconomic indicators provided by Bloomberg from June 1998 to August 2017. We show that our panel of forecasters are not rational and are moderately heterogeneous and thus confirm that previously well-established results on asset prices hold for macroeconomic indicators. We propose a flexible hybrid forecast model defined at any time as a combination of the extrapolative, regressive, adaptive and interactive heuristics. Controlling for endogenous structural breaks, we find that experts adjust their forecast behaviour at any time with some inertia in extrapolative and adaptive profiles. Changes in the formation of expectations are triggered mostly by financial shocks, and uncertainty is dealt with by using complex processes in which the fundamentalist component overweighs chartist activity. Forecasters whose models combine different relevant rules and display high temporal flexibility provide the most accurate forecasts. Authorities can then stabilize the domestic markets by encouraging fundamentalists’ forecasts through increased transparency policy.     

Stochastic convergence of per capita carbon dioxide emissions and multiple structural breaks in OECD countries

This research applies an innovative panel data stationarity testing procedure developed by Carrion-i-Silvestre et al. [Carrion-i-Silvestre, J.L., Barrio-Castro, T.D. and Lopez-Bazo, E., 2005. Breaking the panels: An application to the GDP per capita, Econometrics Journal 8, 159–175.], which has the advantage of recognizing multiple structural breaks and the presence of cross-section dependence in order to re-investigate the hypothesis that per capita carbon dioxide (CO₂) emissions stochastically converge for 21 OECD countries from 1950 to 2002. Remarkably, the evidence clearly indicates that the panel dataset of relative per capita CO₂ emissions is stationary after the structural breaks and cross-sectional dependence are introduced into the model. These findings offer strong policy implications for governments, regardless of whether they are in “convergent group” or “divergent group” countries. We also find that the structural breaks in the 1960s and over the 1970–1982 period are associated with time periods of fossil fuel becoming the main source of productivity, higher oil prices, and the development of nuclear power.