Socioeconomic variations in perceived barriers to recreation participation among would‐be participants

Abstract

The effects of fifteen barriers to participation were examined among people who expressed a desire for but were unable to participate in a new recreational activity. Work commitments, overcrowding of facilities, and lack of partners were the three main barriers. The effects of barriers were not perceived uniformly across the sample but varied between subgroups defined according to socioeconomic variables: the people most likely to be affected by barriers to participation included the poor, the elderly, and single parents. The extent to which recreation practitioners can and should respond to these kinds of research findings is discussed, and several ways in which the effects of barriers to participation might be modified or alleviated are evaluated.     

东西部地区利用外资方式的实证分析与比较

西部地区吸收外商直接投资占全国的比例长期以来一直处于很低的水平。东西部地区吸收外商直接投资存在巨大反差。文章从东西部地区利用外资方式的实证分析入手，对东西部地区利用外资方式的变化进行对比分析；运用外商对华直接投资方式的决策模型剖析和判断西部地区区位变量的滞后状态；并据此针对西部地区利用外资提出部分观点与建议。     

Inflation Triggers in Transition Economies: Their Evolution and Specific Features

Analysis of thirty inflation episodes in sixteen European transition economies, using the probit panel model with fixed effects, uncovers inflation triggers that overlap with those obtained in either developing or developed countries or both. However, we found some transition-specific features. Thus, the relative contribution of the triggers evolves as transition progresses, such that the early dominance of the output gap, the fiscal deficit, and elections are subsequently subdued by a rise in food and oil prices, the exchange rate regime, and the current account deficit. The last two triggers could be linked to deep financial integration in Europe and the consequent large flow of capital toward European transition economies in the 2000s, a phenomenon not observed in any other part of the world. In addition, the exchange rate regime as an inflation starter in transitional Europe may be due to its convergence with developed Europe and the resulting real appreciation of currency.     

Dynamic Interactions Among Macroeconomic Variables and Stock Indexes in Taiwan,Hong Kong,and China

This study analyzes dynamic interactions among macroeconomic variables and the stock markets of Taiwan, Hong Kong, and China by incorporating the long-term and short-term comovements, which can shed some light on the long-term and short-term market efficiency/inefficiency in the region. The number of common cycles is investigated in these markets and each stock index series is decomposed into its trend and cyclical components. The authors observe that foreign stock markets have greater influence on the domestic market than domestic macroeconomic variables do. This implies that policymakers need to consider not only macroeconomic variables but also the effects of markets on one another when markets are integrated.     

The RAS Approach in Updating Input–Output Matrices: An Instrumental Variable Interpretation and Analysis of Structural Change

The main purposes of the paper are to reconsider the rationale of the RAS method, and to attempt to improve on its interpretation and usefulness. The substitution and fabrication factors in the RAS method are interpreted as statistical estimates obtained by the method of instrumental variables. This enables the computation of asymptotic standard errors for the factors and the relative precision of the predicted technical coefficients. Furthermore, an adjustment cost minimization model to describe how a sector determines its substitution and fabrication factors is presented. The solutions of the model provide another rationale for the RAS method, and the associated Lagrangian multipliers can be useful for assessing structural constraints and structural change.     

Instrumental variable estimation based on grouped data

The paper considers the estimation of the coefficients of a single equation in the presence of dummy intruments. We derive pseudo ML and GMM estimators based on moment restrictions induced either by the structural form or by the reduced form of the model. The performance of the estimators is evaluated for the non-Gaussian case. We allow for heteroscedasticity. The asymptotic distributions are based on parameter sequences where the number of instruments increases at the same rate as the sample size. Relaxing the usual Gaussian assumption is shown to affect the normal asymptotic distributions. As a result also recently suggested new specification tests for the validity of instruments depend on Gaussianity. Monte Carlo simulations confirm the accuracy of the asymptotic approach.     

A saddlepoint approximation to the distribution of the sum of independent non‐identically uniform random variables

Calculating the probability of the corresponding significance point is important for finite sample sizes. However, it is difficult to evaluate this probability when the sample sizes are moderate to large. Under these circumstances, consideration of a more accurate approximation for the distribution function is extremely important. Herein, we performed a saddlepoint approximation in the upper tails for the distribution of the sum of independent non‐identically uniform random variables under finite sample sizes. Saddlepoint approximation results were compared with those for a normal approximation. Additionally, the order of errors of the saddlepoint approximation was derived. © 2014 The Authors. Statistica Neerlandica © 2014 VVS.     

Estimating panel data models in the presence of endogeneity and selection

We consider estimation of panel data models with sample selection when the equation of interest contains endogenous explanatory variables as well as unobserved heterogeneity. Assuming that appropriate instruments are available, we propose several tests for selection bias and two estimation procedures that correct for selection in the presence of endogenous regressors. The tests are based on the fixed effects two-stage least squares estimator, thereby permitting arbitrary correlation between unobserved heterogeneity and explanatory variables. The first correction procedure is parametric and is valid under the assumption that the errors in the selection equation are normally distributed. The second procedure estimates the model parameters semiparametrically using series estimators. In the proposed testing and correction procedures, the error terms may be heterogeneously distributed and serially dependent in both selection and primary equations. Because these methods allow for a rather flexible structure of the error variance and do not impose any nonstandard assumptions on the conditional distributions of explanatory variables, they provide a useful alternative to the existing approaches presented in the literature.     

A Cross-Country Empirical Analysis of International Reserves

Using data from more than 100 economies for the period of 1975 to 2005, we conduct an extensive empirical analysis of the determinants of international reserve holdings. Four groups of determinants, namely, traditional macro variables, financial variables, institutional variables, and dummy variables that control for individual economies’ characteristics are considered. We find that the relationship between international reserves and their determinants is significantly different between developed and developing economies and is not stable over time. The estimation results indicate that, especially during the recent period, a developed economy tends to hold a lower level of international reserves than a developing one. Furthermore, there is only limited evidence that East Asian economies including China and Japan are accumulating an excessive amount of international reserves.     

RISK MEASURES FOR NON-INTEGRABLE RANDOM VARIABLES

We show that when a real-valued risk measure is defined on a solid, rearrangement invariant space of random variables, then necessarily it satisfies a weak compactness, also called continuity from below, property, and the space necessarily consists of integrable random variables. As a result we see that a risk measure defined for, say, Cauchy-distributed random variable, must take infinite values for some of the random variables.