Financial distress,financial constraint and investment decision: Evidence from Brazil

This paper analyses the presence of financial constraint in the investment decisions of 367 Brazilian firms from 1997 to 2004, using a Bayesian econometric model with group-varying parameters. The motivation for this paper is the use of clustering techniques to group firms in a totally endogenous form. In order to classify the firms we used a hybrid clustering method, that is, hierarchical and non-hierarchical clustering techniques jointly. To estimate the parameters a Bayesian approach was considered. Prior distributions were assumed for the parameters, classifying the model in random or fixed effects. Ordinate predictive density criterion was used to select the model providing a better prediction. We tested thirty models and the better prediction considers the presence of 2 groups in the sample, assuming the fixed effect model with a Student t distribution with 20 degrees of freedom for the error. The results indicate robustness in the identification of financial constraint when the firms are classified by the clustering techniques.     

Interstate switched access demand analysis

The breakup of the Bell System in 1984 led to the adoption by the Federal Communications Commission of a system of tariff charges that are paid to local exchange carriers by business and residential telephone subscribers, and interexchange carriers such as AT&T. These charges are designed to recover the costs associated with providing access to the public switched network to complete interstate calls. This system is known as the FCC Access Charge Plan. Flat-rate fees, named Subscriber Line Charges, are imposed on telephone subscribers, while usage-based charges are billed to interexchange carriers. These are called Carrier Common Line and Traffic Sensitive rates. Since CCL and TS rates are based on network usage, forecasts of switched access demand are required to set them properly.This paper presents an econometric model of interstate switched access demand developed and utilized by AT&T to produce forecasts of 1988 demand in connection with the Annual 1988 Access Tariff Filings. The model is estimated in a state-level pooled cross-sectional time-series framework, with dynamics introduced via polynomial distributed lags on price and income. It represents an extension of the econometric demand model developed and used by the FCC a year earlier to determine a reasonable forecast of 1987 Carrier Common Line switched access demand. Estimated demand elasticities and forecasts are provided. The model forecasts are also compared to those from other models.     

Military in politics and budgetary allocations

This paper investigates the effect of military involvement in politics on budgetary allocations for defence. We employ a variety of econometric models, including pooled OLS and panel data with fixed effects and control for other known determinants of military spending. To deal with endogeneity issues, we also use an IV methodology and find that a higher degree of military involvement in policy-making increases the probability that the military obtain a larger share of output.     

(En-)‘lightening’ children: Assessing the impacts of access to electricity on learning achievement levels

The welfare impacts of electrification are well documented in the literature, including the effects of electricity on school enrolment. However, the spillover effects of electrification on children's achievement levels are scarce. We use three complementary but distinct econometric models to establish a causal relationship between electrification and test scores using nationally representative household panel data from India. We find positive results irrespective of the choice of econometric model, and these results seem to be mediated by changing time-use patterns of children with access to electricity. We first exploit the plausibly exogenous variation in access to electricity due to a universal electrification program in the state of West Bengal in India and we find positive effects of electrification on children's test scores. By age group, we find that younger cohorts benefit more in terms of their reading scores than older cohorts. Then, to ascertain external validity of these results, we replicate them over a nationally representative sample using fixed effects and instrumental variables estimation and find similar results. At the intensive margin, we find that access to more hours of electricity positively affects test scores. We identify an increase in time spent by children on study-related activities as the potential channel for these results.     

CASUAL EMPLOYMENT IN AUSTRALIA: INCIDENCE AND DETERMINANTS

Casual employment as a fraction of the employed labour force has expanded substantially during the period 1984 through 1993. This paper examines the incidence of this growth by gender, sector and industry. Separate shift-share and econometric procedures analyse ABS pooled time-series, cross-section data for the period 1984 through 1992. The shift-share analysis decomposes intra-industry growth. The fixed effects estimation results suggest recent casual employment growth in Australia is demand determined.     

Discriminating among alternative production functions in Polish industry

Large scale econometric models for both market-type and socialist centrally planned economies generally specify production relationships in the form of an aggregate production function. This paper addresses the problem of specifying the functional form of the production function for a socialist centrally planned economy: Poland. Three production functions, Cobb-Douglas, CES and VES, are estimated and a non-nested test for functional form is performed using a pooled cross section-time series regression technique. The estimates of the Cobb-Douglas specification are slightly superior to those of the CES and VES specifications, but the latter provide important detail for historical analysis and interesting implications for growth.     

Multifactor consumption based asset pricing models using the US stock market as a reference: Evidence from a panel of developed economies

This article considers a panel framework to test consumption based asset pricing models driven by a US stock market reference for a number of developed economies. Specifically, we focus on a linearized form of what might be seen as a consumption-based capital asset pricing model in a pooled cross section panel with two-way error components. The empirical findings of this multifactor model using a range of specifications indicate that there is a significant unobserved heterogeneity captured by cross-country fixed effects when consumption growth is treated as a common factor. However, the cross-sectional impact of home consumption growth can vary over the countries, where unobserved heterogeneity in the rate of risk aversion can also be addressed by random effects.     

基于地理加权回归模型的省域工业全要素生产率分析

全要素生产率(TFP)是一个国家或地区经济增长质量和技术进步、管理效率提高的重要标志。运用空间统计的Moran指数以及空间计量经济学的地理加权回归(Geographical Weighted Regression)模型方法,基于2003年中国31个省、直辖市和自治区的工业企业统计数据,对省级区域工业全要素生产率进行了测算分析。全要素生产率实证测算分析结果发现,空间Moran指数可测算省域工业生产率的空间效应,地理加权回归模型也可将影响省域全要素生产率的来源分解成各省域的局部影响,空间计量经济学模型在计量检验和测算我国31个省域工业全要素生产率中具有较好效果。     

Industry profit margins and concentration: evidence from UK manufacturing

This paper examines the determination of UK manufacturing industry profit margins using a panel of data from 1980 to 1991. In particular, we test whether industry concentration is important in shaping margins. Our results indicate that for both pooled cross-section data and for fixed effects models there is a robust positive correlation between industry margins and market concentration. However, the formulation of the margin matters for establishing this association. For those margins where a net revenue measure is used in the denominator of the margin then we are able to isolate the predicted relationship. However, for those margins that use gross revenue in the denominator the matter is more complex. Without controlling for a measure of material costs in the estimating equations then a simple concentration effect cannot be isolated.     

Demand for telephone lines and universal service in Spain

In this paper we analyse the effects of some proposed tariff scenarios on universal service in Spain. For that, we use a model of demand for telephone lines to derive an econometric model of the net demand for new access lines, for the period 1980–1993, using quarterly observations. We use cointegration techniques to obtain long and short run equations. We conclude that a tariff restructuring that lowers the installation charge and domestic traffic rates while moderately raising recurring charges might have a small effect on the net demand for new lines. This suggests that the objective of universal service may be compatible with some of the tariff structures that have been recently considered in Spain.     

TESTING THE QUANTAL RESPONSE HYPOTHESIS

We develop a nonparametric test for consistency of player behavior with the quantal response equilibrium (QRE). The test exploits a characterization of the equilibrium choice probabilities in any structural QRE as the gradient of a convex function; thereby, QRE‐consistent choices satisfy the cyclic monotonicity inequalities. Our testing procedure utilizes recent econometric results for moment inequality models. We assess our test using lab experimental data from a series of generalized matching pennies games. We reject the QRE hypothesis in the pooled data but cannot reject individual‐level quantal response behavior for over half of the subjects.     

An economic framework for forecasting land-use and ecosystem change

This paper develops a joint econometric–simulation framework to forecast detailed empirical distributions of the spatial pattern of land-use and ecosystem change. In-sample and out-of-sample forecasting tests are used to examine the performance of the parcel-scale econometric and simulation models, and the importance of multiple forecasting challenges is assessed. The econometric–simulation method is integrated with an ecological model to generate forecasts of the probability of localized extinctions of an amphibian species. The paper demonstrates the potential of integrating economic and ecological models to generate ecological forecasts in the presence of alternative market conditions and land-use policy constraints.     

The gravity model analysis: an application on MERCOSUR trade flows

This paper explores the determinants of bilateral trade flows between Mercosur countries. To this aim, a gravity model is applied to annual bilateral exports between 75 countries in 1980–2008. The model is augmented with variables that are relevant in determining the volume and direction of international trade using two alternative estimation methods; pooled ordinary least squares and panel fixed effects. The results reveal that the influence of the agreement on trade has been positive but moderate. As a whole, Mercosur has had positive effects, and this agreement can be reinforced with the deepening of their relationships and the entry of new members.     

Price or Quantity Competition? Oligopolistic Structures in International Commodity Markets

International commodity markets may be characterized by price or quantity competition and by product differentiation. As an illustration, this paper presents a set of models of the Japanese market for imported beef. The models are evaluated using a non-nested econometric test. The one which best fits the data is a Stackelberg model with price leadership by Australia. This result provides evidence on the explicit nature of the game being played by exporters, unlike the applied conjectural variations approach which provides only an index of how competitive the market is.     

Employment changes, the structure of adjustment costs, and plant size

In this paper, we analyze the pattern of employment adjustment using a rich panel of Norwegian plants. The data suggest that the frequency of episodes of zero net employment changes is inversely related to plant size. We develop and estimate a simple “q” model of labor demand, allowing for the presence of fixed, linear and quadratic components of adjustment costs. The econometric evidence supports the existence of purely fixed components, unrelated to plant size. As a result, the range of inaction is wider for smaller plants. The quadratic component of costs is also always important. In most specifications fixed costs are higher for employment contractions. The quadratic component is higher during employment contractions compared to expansions for small plants, while this is not true for larger plants.     

Panel data inference under spatial dependence

This paper focuses on inference based on the standard panel data estimators of a one-way error component regression model when the true specification is a spatial error component model. Among the estimators considered, are pooled OLS, random and fixed effects, maximum likelihood under normality, etc. The spatial effects capture the cross-section dependence, and the usual panel data estimators ignore this dependence. Two popular forms of spatial autocorrelation are considered, namely, spatial autoregressive random effects (SAR-RE) and spatial moving average random effects (SMA-RE). We show that when the spatial coefficients are large, test of hypothesis based on the standard panel data estimators that ignore spatial dependence can lead to misleading inference.     

Economic Fundamentals and Exchange Rate Movements

This paper provides a non-parametric test of modern exchange rate models that is an alternative to econometric methods. The economic fundamentals from three well-known exchange rate theories are used to devise quarterly net predictions for the movement of sterling against four major currencies over the period 1973-98. Each model is examined under six expectations mechanisms. Although the test can lead to very diverse predictions from different models, it is shown that there is very little difference in the predictive success of rival exchange rate theories. The paper shows that the role assigned to market expectations is more crucial to the success of the models than the particular specification of the fundamental variables.We find some weak evidence to suggest that extrapolative and adaptive expectations mechanisms seem to offer a better specification of exchange rate expectations as compared to regressive and rational expectation mechanisms. One significant advantage of the test is that it can readily deal with hybrid models and heterogeneous expectations; however, neither route seems to improve exchange rate forecasts.     

A macroeconomic approach to the income-tax work-effort relationship

In this paper, we analyse the dynamic relationship between hours worked per employee (per self-employed) and marginal income tax-rate shocks in terms of both a comparative-dynamics model and a stochastic general equilibrium econometric model. The econometric model is estimated for Germany, UK and USA over the post-1960 period using the GMM estimation technique. Estimates in both models show that increases in the marginal income-tax rate exert negative effects on hours worked by both employees and the self-employed, but the response of the employees who are subject to tax withholding is stronger than the response of the self-employed.     

Intrinsic heterogeneity in expectation formation

We introduce the concept of Misspecification Equilibrium to dynamic macroeconomics. Agents choose between a list of misspecified econometric models and base their selection on relative forecast performance. A Misspecification Equilibrium is a stochastic process in which agents forecast optimally given their choices, with forecast model parameters and predictor proportions endogenously determined. Under appropriate conditions, the Misspecification Equilibrium will exhibit Intrinsic Heterogeneity, in which all predictors are used at all times, even in the neoclassical limit in which only the most successful predictors are used. This equilibrium is attainable under least-squares learning and dynamic predictor selection based on average profits.     

A contribution to the theory and empirics of Schumpeterian growth with worldwide interactions

This paper proposes an integrated theoretical and methodological framework characterized by technological interactions to explain growth processes from a Schumpeterian perspective. Global interdependence implied by international R&D spillovers needs to be taken into account in both the theoretical and empirical models. For this task, spatial econometrics is the appropriate tool. The econometric model we propose includes the neoclassical growth model as a particular case. We can therefore explicitly test the role of R&D investment in the long-run growth process against the Solow growth model. Finally, the properties of our spatial econometric specification allow the explicit evaluation of the impact of home and foreign R&D spillovers.