modelling the domestic and foreign tourist arrivals to tamil nadu india in recent years due to the indian federal government s and tamil nadu state government s various initiatives and promotional activities foreign and domestic tourist arrivals in tamil nadu are on the increase this article aims to model the monthly tourist arrivals foreign as well as domestic in tamil nadu for monthly time series data during the period 1998 to 2002 using univariate time series models as both time series show strong seasonal patterns we also investigate the possibility of seasonal unit roots in the domestic and foreign tourist arrivals series the results show that significant growth in domestic and foreign arrivals takes place during the months december to january growth rate for domestic tourist arrivals is positive during april and may but is negative for the foreign tourist arrivals during april and insignificant during may such information would be very useful to the tamil nadu government and the tourism industry in maximizing the usage of available tourist spot infrastructure

coordinating regime switches the canonical model of strategic complementarities between individual actions which exhibits multiple equilibria under perfect information is extended with heterogeneous agents and imperfect information agents observe their own cost of action and the history of the levels of aggregate activity the distribution of individual characteristics evolves through a random process and individuals are rational bayesians under plausible conditions there is a unique equilibrium with phases of high and low activity and random switches applications may be found in macroeconomics and revolutions

a piecewise linear approach to modeling and forecasting demand for macau tourism abstract in this paper we construct and use a piecewise linear method to model and forecast on a monthly basis the demand for macau tourism data over the period january 1991 december 2005 and a seasonally adjusted series for tourism demand are used the study examines 4 forecasting horizons ranging from 6 to 24 months in advance mean absolute percentage errors and root mean square errors are adopted as criteria for evaluating the accuracy of the forecasting exercises finally the forecasts of piecewise linear model are compared with those of autoregressive trend model seasonal autoregressive integrated moving average and its arch rival fractionally integrated autoregressive moving average models the piecewise linear model is more accurate than the three benchmark models tested and the improvement is practically significant

forecasting u s tourist arrivals using optimal singular spectrum analysis this study examines the potential advantages of using singular spectrum analysis ssa for forecasting tourism demand to do this it examines the performance of ssa forecasts using monthly data for tourist arrivals into the unites states over the period 1996 to 2012 the ssa forecasts are compared to those from a range of other forecasting approaches previously used to forecast tourism demand these include arima exponential smoothing and neural networks the results presented show that the ssa approach produces forecasts which perform statistically significantly better than the alternative methods in forecasting total tourist arrivals into the u s forecasts using the ssa approach are also shown to offer a significantly better forecasting performance for arrivals into the u s from individual source countries of the alternative forecasting approaches exponential smoothing and feed forward neural networks in particular were found to perform poorly the key conclusion is that singular spectrum analysis ssa offers significant advantages in forecasting tourist arrivals into the us and is worthy of consideration for other forecasting studies of tourism demand

tourism demand modelling and forecasting a review of recent research abstract this paper reviews the published studies on tourism demand modelling and forecasting since 2000 one of the key findings of this review is that the methods used in analysing and forecasting the demand for tourism have been more diverse than those identified by other review articles in addition to the most popular time series and econometric models a number of new techniques have emerged in the literature however as far as the forecasting accuracy is concerned the study shows that there is no single model that consistently outperforms other models in all situations furthermore this study identifies some new research directions which include improving the forecasting accuracy through forecast combination integrating both qualitative and quantitative forecasting approaches tourism cycles and seasonality analysis events impact assessment and risk forecasting

who matters in coordination problems we consider a common investment project that is vulnerable to a self fullling coordination failure and hence is strategically risky based on their private information agents who have heterogeneous investment incentives form expectations or sentiments about the project s outcome we nd that the sum of these sentiments is constant across dierent strategy proles and it is independent of the distribution of incentives as a result we can think of sentiment as a scarce resource divided up among the dierent payo types applying this nding we show that agents who benet little from the project s success have a large impact on the coordination process the agents with small benets invest only if their sentiment towards the project is large per unit investment cost as the average sentiment is constant a subsidy decreasing the investment costs of these agents will free up a large amount of sentiment provoking a large impact on the whole economy intuitively these agents insensitive to the project s outcome and hence to the actions of others are inuential because they modify their

expectations learning and business cycle fluctuations this paper explores an alternative theory based on learning dynamics in the con text of an otherwise standard stochastic growth model we consider an environment in which households and firms have an incomplete model of the macroeconomy knowing only their own objectives constraints and beliefs agents are optimizing have a completely specified belief system but do not know the equilibrium map ping between primitive disturbances the aggregate state of the economy and mar ket clearing prices by extrapolating from historical patterns in observed data they approximate this mapping to forecast variables that are exogenous to their decision problems such as the rental rate of capital and the real wage this belief structure has the property that beliefs affect the true data generating process of the economy which in turn affects belief formation the economy is therefore self referential shifts in beliefs about future returns to labor and capital affect current market clear ing prices which in turn can reinforce beliefs in this environment current prices can become less informative about future economic conditions generating fluctuations in real activity this kind of mechanism driving business cycle fluctuations is found in early writ ings on macroeconomic dynamics for example alfred c pigou 1927 on page 122 writes

financial reporting tax costs and book tax conformity abstract we investigate the role of book tax conformity in firms financial reporting activities using a unique set of publicly traded firms that were forced to switch for tax purposes from the cash method to the accrual method prior to the mandated change little trade off existed between tax planning and financial reporting goals for these firms after the change recognition criteria for tax and financial reporting purposes became more alike increasing the trade off between financial reporting and tax objectives our results suggest that required use of the accrual method for tax purposes causes firms to defer income for financial statement purposes

a management orientated approach to combination forecasting of tourism demand abstract volatility exponential smoothing regression and naive 2 models are considered singly and in combination in terms of forecasting demand for international tourism these models generate accurate predictions of tourism flows but their prime utility is when combined with other models usually models are combined by means of purely statistical criteria we show that goal programming gp offers an alternative flexible approach to model combination gp offers planners a practical solution to tourism forecasting problems since the method is more adaptable than conventional minimisation of prediction error by permitting practitioners to prioritise a series of management related goals forecasters can focus on longer and short term goals minimising forecast under and over estimation and or concentrate on prediction errors in tourism flows at various times of the year

fiscal policy in an unemployment crisis this paper shows that large scal multipliers arise naturally from equilibrium unemployment dynamics in response to a shock that brings the economy into a liquidity trap an expansion in government spending increases output and causes a fall in the unemployment rate since movements in unemployment are persistent the eects of current spending linger into the future leading to an enduring rise in income as an enduring rise in income boosts private demand even a temporary increase in government spending sets in motion a virtuous employment spending spiral with a large associated multiplier this transmission mechanism contrasts with the conventional view in which scal policy may be ecacious only under a prolonged and committed rise in government spending which engineers a spiral of increasing ination

empirical research on accounting choice abstract we review research from the 1990s that examines the determinants and consequences of accounting choice structuring our analysis around the three types of market imperfections that influence managers choices agency costs information asymmetries and externalities affecting non contracting parties we conclude that research in the 1990s made limited progress in expanding our understanding of accounting choice because of limitations in research design and a focus on replication rather than extension of current knowledge we discuss opportunities for future research recommending the exploration of the economic implications of accounting choice by addressing the three different reasons why accounting matters

costly search and recruiting a labor market model with costly search and recruiting is constructed it incorporates many features found in other models and provides new insights into the effects of externalities and transaction costs the model possesses a continuum of equilibria some of which may be pareto ranked with different rates of unemployment despite the multiplicity of equilibria comparative statics results are obtained copyright 1987 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

real time forecasting regional tourism with business sentiment surveys abstract this study provides evidence that supply side soft information retrieved from business surveys is effective in real time forecasting of hotel arrivals at the regional level we assess the effect of including business sentiment indicators in commonly used naive specifications and structural time series models using residuals and predictive diagnostics we find that both the goodness of fit and the forecasting accuracy of the augmented models are superior to those of the baseline models whence the opportunity to extend to the tourism sector the surveys on the business sentiment currently realized by the provincial chambers of commerce for the manufacturing sector allowing an effective and timely managing of local tourism market where official information is likely to be either lacking or poor in quality

modelling and forecasting australian domestic tourism abstract in this paper we model and forecast australian domestic tourism demand we use a regression framework to estimate important economic relationships for domestic tourism demand we also identify the impact of world events such as the 2000 sydney olympics and the 2002 bali bombings on australian domestic tourism to explore the time series nature of the data we use innovations state space models to forecast domestic tourism demand combining these two frameworks we build innovations state space models with exogenous variables these models are able to capture the time series dynamics in the data as well as economic and other relationships we show that these models outperform alternative approaches for short term forecasting and also produce sensible long term forecasts the forecasts are compared with the official australian government forecasts which are found to be more optimistic than our forecasts

fiscal policy in an expectations driven liquidity trap we study the effects of fiscal policy interventions in a liquidity trap in a model with nominal rigidities and an interest rate rule in a liquidity trap caused by a self fulfilling state of low confidence higher government spending has deflationary effects that reduce the spending multiplier when the zero lower bound is binding instead cuts in marginal labor tax rates are inflationary and become more expansionary when the zero lower bound is binding these findings contradict popular views about the effects of fiscal policy in a liquidity trap

the taxable and book income motivations for a lifo layer liquidation this study examines the potential determinants of lifo liquidations using a multivariate tobit model 1 unlike the univariate analysis used in prior lifo liquidation studies e g davis kahn and rozen 1984 and tse 1990 our multivariate analysis takes into account both the correlations among these potential determinants and the magnitude of lifo liquidations simple correlation analysis indicates that the sales changes and earnings changes of lifo liquidation firms are highly correlated thus while univariate support for both the declining sales and declining earnings explanations of lifo liquidations could indicate that both explanations are correct it could also be the case that support for either explanation stems from the high correlation between sales changes and earnings changes our multivariate approach helps avoid such ambiguities in interpretation and supports two conclusions first

managing interacting accounting measures to meet multiple objectives a study of lifo firms abstract using a sample of lifo users we examine the strengths and weaknesses of adopting a simultaneous equations approach to study managers adjustments of interacting accounting measures that meet multiple objectives we focus on the importance of considering differences in the costs and the effectiveness of adjusting accounting measures in addition we examine managers objectives in subsequent years and how adjustments reversals affect those objectives although generally consistent with earlier studies of lifo inventory adjustments our results indicate that modelling interacting accounting measures such as other current accruals and depreciation leads to differing conclusions about the role of taxes

monopolistic competition and the effects of aggregate demand how important is monopolistic competition to an understanding of the effects of aggregate demand on output we ask the question at three levels can monopolistic competition by itself explain why aggregate demand movements affect output can it together with other imperfections generate effects of aggregate demand in a way that perfect competition cannot if so can it give an accurate account of the response of the economy to aggregate demand movements the answers are no yes and yes

shopping externalities and self fulfilling unemployment fluctuations we propose a novel theory of self fulfilling fluctuations in the labor market a firm employing an additional worker generates positive externalities on other firms because employed workers have more income to spend and have less time to shop for low prices than unemployed workers we quantify these shopping externalities and show that they are sufficiently strong to create s complementarities in the employment decisions of different firms and to generate multiple rational expectations equilibria equilibria differ with respect to agents rational expectations about future unemployment we show that negative shocks to agents expectations lead to fluctuations in vacancies unemployment labor productivity and the stock market that closely resemble those observed in the us during the great recession

empirical tax research in accounting this paper traces the development of archival microeconomic based empirical income tax research in accounting over the last 15 years the paper details three major areas of research i the coordination of tax and non tax factors ii the effects of taxes on asset prices and iii the taxation of multijurisdictional international and interstate commerce methodological concerns of particular interest to this field also are discussed the paper concludes with a discussion of possible directions for future research r 2001 elsevier science b v all rights reserved jel classification m41 h25 k34 g32 f23

confidence crashes and animal spirits this article is an attempt to reformulate what i take to be two key insights from keyness general theory keynes 1936 the first is that there is something profoundly different about the labour market from most other markets in the economy the second is that the beliefs of participants in the asset markets have an independent influence on economic activity in the language of modern dynamic general equilibrium theory we would say that there is a continuum of labour market equilibria and that beliefs about the value of the stock market select an equilibrium the general theory contains many ideas some of which are internally inconsistent and keynes did not try to reconcile his theory with walrasian economics that task was carried out by a group of interpreters including hansen 1936 and hicks 1937 the current dominant paradigm new keynesian economics originated with the third edition of samuelson s 1955 undergraduate textbook in which he introduced the idea of the neoclassical synthesis according to this doctrine the economy is keynesian in the short run but classical in the long run the short run is defined as the period over which not all prices have had time to adjust to their walrasian levels this article introduces a different interpretation of the key ideas from the general theory 1 although my work is inspired by keynesian economics this article is not about the history of thought i offer a way of formulating the idea that market economies are not inherently self stabilising without assuming that prices or wages are prevented from adjusting to their equilibrium levels by some kind of friction instead i claim that high persistent unemployment is a potentially permanent feature of a market economy in a steady state equilibrium

a comparison of three different approaches to tourist arrival forecasting abstract forecasting plays a major role in tourism planning the promotion of tourism projects involving substantial sums of money requires an estimate of future demand and market penetration the commitment to developing tourism would be much easier if it were possible to analyse current and past tourist traffic and predict the nature of changes in tourism demand these extrapolative approaches to forecasting require historical data this paper investigates the application of three time series forecasting techniques namely exponential smoothing univariate arima and elman s model of artificial neural networks ann to predict travel demand i e the number of arrivals from different countries to hong kong exponential smoothing and arima are two commonly used statistical time series forecasting techniques the third approach neural networks is an artificial intelligence technique derived from computer science according to the analysis presented in this paper neural networks seems to be the best method for forecasting visitor arrivals especially those series without obvious pattern

the forecasting of international expo tourism using quantitative and qualitative techniques this study predicts the number of visitors to an international tourism expo to be held in korea in 2012 an unprecedented event for the host city forecasting demand for such a mega event has received only limited attention in the literature unlike most studies forecasting international tourism demand forecasting expo demand involves using both quantitative forecasting models and qualitative technique because of data limitations combining quantitative techniques with willingness to visit wtv surveys predicts the expo demand at 8 9 million visitors in comparison using the delphi method experts predict expo demand at 6 8 million visitors for this study the delphi method provides more conservative estimates than estimates from combining quantitative techniques with wtv policy implications presented are directed toward expo planners and practitioners in terms of demand and supply side application of these results in the decision making process and future challenges surrounding demand forecasting

a theory of demand shocks this paper presents a model of business cycles driven by shocks to consumer expectations regarding aggregate productivity agents are hit by heterogeneous productivity shocks they observe their own productivity and a noisy public signal regarding aggregate productivity the public signal gives rise to noise shocks which have the features of aggregate demand shocks they increase output employment and inflation in the short run and have no effects in the long run numerical examples suggest that the model can generate sizable equilibrium dsge models of the business cycle include a large number of shocks to technol ogy monetary policy preferences etc but typically do not include expectational shocks as independent drivers of short run fluctuations 1 this paper explores the idea of expectation driven cycles looking at a model where technology determines equilibrium output in the long run and consumers receive noisy signals about technology in the short run the presence of noisy signals produces expectational errors this paper studies the role of these expectational errors in gener ating volatility at business cycle frequencies the model is based on two ingredients first consumers take time to recognize permanent changes in aggregate fundamentals although they may have good information on the current state of the individual firm or sector where they operate they have only limited information regarding the long run determinants of aggregate activity second consumers have access to public information that is relevant to estimate long run productivity this includes news about technological innovations publicly released macroeconomic and sectoral statistics financial market prices and public statements by policy makers however these signals provide only a noisy forecast of the long run effects of technological innovations this opens the door to noise shocks which induce consumers to temporarily overestimate or underestimate the productive capacity of the economy

multiple expectational equilibria under monopolistic competition this paper shows that a monopolistically competitive economy with real investment can have multiple rational expectations equilibria one is associated with entrepreneurs optimistic expectations about future demand another with entrepreneurs pessimism it also shows that an optimistic expectational equilibrium pareto dominates a pessimistic equilibrium an investment subsidy can be beneficial both by reducing the original underinvestment distortion and by changing firms expectations from pessimistic to optimistic the most important assumption is increasing returns to scale and monopolistic competition makes increasing returns consistent with each producer s optimization

dynamic pricing and imperfect common knowledge abstract introducing private information into the dynamic pricing decision of firms by adding an idiosyncratic component to marginal cost can help explain two stylised facts about price changes aggregate inflation responds gradually and with inertia to shocks at the same time as individual price changes can be large the inertial behaviour of inflation is driven by privately informed firms strategically herding on the public information contained in the observations of lagged aggregate variables the model also matches the average duration between price changes found in the data and it nests the standard new keynesian phillips curve as a special case to solve the model the paper derives an algorithm for solving a class of dynamic models with higher order expectations

dynamic coordination and the optimal stimulus policies this article studies stimulus policies in a simple macroeconomic model featuring a dynamic coordination problem that arises from demand externalities and fixed costs of investment in times of low economic activity firms face low demand and hence have lower incentives for investing which reinforces their low demand expectations in a benchmark case with no shocks the economy might get trapped in a low output regime and a social planner would be particularly keen to incentivise investment at times of low economic activity however this result vanishes once shocks are considered

tourism demand for italy and the business cycle this study provides a strategy for modelling the effect of the business cycle on tourism demand under the rationale that tourism cycles are heavily influenced by lagged effects of the overall business cycle using quarterly data on overnight stays in italian hotels both domestic and inbound between 1985 and 2004 we adopt a structural time series approach to evaluate two alternative models the first with a latent cycle component lcc and the second based on specific economic explanatory variables xcv the two models are compared in terms of explanatory power best fit residual diagnostics and forecasting ability the results show similar performances the policy implication is that the xcv model can be used for calibrating countercyclical interventions in tourism policy

combining volatility and smoothing forecasts of uk demand for international tourism abstract univariate volatility models are applied to uk tourism demand to the country s most popular international destinations volatility is a concept borrowed from finance the fact that significant volatility models are found for ten of the twelve destinations examined shows that the volatility concept has relevance to tourism demand volatility models are able to quantify the impacts of positive and negative shocks on tourism demand the impacts of negative shocks vary in magnitude and duration according to the destination involved and the nature of the shock the forecasting capability of these models has never been assessed in the tourism field they are shown to generate highly accurate forecasts but become optimal when combined with forecasts obtained from exponential smoothing models two methods of combining individual forecasts are considered bias in individual volatility and smoothing models and in combinations of them is examined

dynamics of currency crises with asset market frictions abstract this paper presents a dynamic model of currency crises with frictions by construction a speculative attack is not an instantaneous event but takes a little time to deplete the country s reserves and in the event of an attack agents are uncertain about whether they will be able to act before the devaluation comes the currency will be overvalued ripe for attack for a long time before an attack takes place a discrete and sizable devaluation will occur small changes in fundamentals may trigger an attack the model brings insights about the dynamics of currency crises and the effects of some key policy variables

real business cycles and the animal spirits hypothesis abstract we calibrate a quantitative equilibrium macroeconomic model with an aggregate technology that is subject to increasing returns and show that this model may display fluctuations at business cycle frequencies even when there are no shocks to the fundamentals of the economy these fluctuations are due to the self fulfilling beliefs of investors which we call animal spirits we compare the impulse response functions predicted by our model and by two other more standard models with a four variable vector autoregression on u s data our animal spirits economy is the most successful of the three at matching broad features of the dynamic responses in the data journal of economic literature classification numbers e00 e3 e32

forecasting tourist arrivals using origin country macroeconomics this study utilizes both disaggregated data and macroeconomic indicators in order to examine the importance of the macroeconomic environment of origin countries for analysing destinations tourist arrivals in particular it is the first study to present strong empirical evidence that both of these features in tandem provide statistically significant information of tourist arrivals in greece the forecasting exercises presented in our analysis show that macroeconomic indicators conducive to better forecasts are mainly origin country specific thus highlighting the importance of considering the apparent sharp national contrasts among origin countries when investigating domestic tourist arrivals given the extent of the dependency of the greek economy on tourism income but also given the perishable nature of the tourist product itself results have important implications for policy makers in greece

non convex costs and capital utilization a study of production scheduling at automobile assembly plants i study detailed data from eleven automobile assembly plants these data display considerable cross plant heterogeneity in production scheduling to explain the observed heterogeneity i solve a dynamic programming model when desired production is below the plant s minimum e cient scale non convexities induce production bunching the plant uses less than full capital utilization on average and production is more volatile than sales when desired production is above the plant s minimum e cient scale the plant operates in a convex region of the cost curve in this case it uses high levels of capital utilization and production is less volatile than sales 2000 elsevier science b v all rights reserved jel classixcation e23 d21 l23