Earnings management by the early adopters of SFAS No. 106

Statement of Financial Accounting Standard (SFAS) No. 106 on Nonpension Postretirement Benefits (NPB) provides managers with a relatively long adoption window and choice of transition methods which can be used by affected companies to manage earnings. This paper examines whether management's choice of adoption timing is motivated by the desire to manage earnings. Fisher's [1934] exact probability analysis is used to test the hypothesis regarding profitability of a sample of 200 early and late adopters of SFAS No. 106. The results indicate that the profitability of adopting the income-reducing accounting standard (SFAS No. 106) early is significantly higher for more profitable firms than for less profitable firms.     

Industrial revolution and mortality revolution: Two of a kind?

In little more than a century life expectancy has doubled in most parts of the world. Neither facts nor theory support the view that this Mortality Revolution is due to the Industrial Revolution and the era of rapid economic growth that ensued. Rather, both revolutions mark the onset of accelerated and sustained technological change in their respective areas. They occur largely independently of each other, the later occurrence of the Mortality Revolution being due to the later development of biomedical vis-a-vis physical knowledge. Comparative study of the two should prove fruitful. Although entrepreneurship is important in each, there appear to be differences in the underlying motivations and the role of private property and other institutions. Links between technological change, on the one hand, and scale of operation, capital inputs, and education, on the other, also offer promising possibilities for comparative study.The author is grateful to Donna Hokoda Ebata and Christine M. Schaeffer for excellent assistance, the University of Southern California for financial support, and to Eileen M. Crimmins, Samuel H. Preston, Morton O. Schapiro, Roger S. Schofield, and two referees for helpful comments.     

A MACROECONOMIC PERSPECTIVE OF AFTA'S PROBLEMS AND PROSPECTS

The Association of Southeast Asian Nations (ASEAN) and the impressive economic performance of most of its members have increased the weight of the region's views in world fora. However, ASEAN has been unsuccessful in fostering a regional integration arrangement (RIA) leading to an increase in intraregional trade and foreign direct investment. In January 1992, ASEAN launched the Asean Free Trade Area (AFTA) seeking to establish a free trade area (FTA) by 2008.
Market integration increases economic interdependence and thereby raises the need for policy integration and discipline. This paper argues that a number of difficulties that ASEAN faced in promoting intraregional trade are likely to continue to affect AFTA (e.g., low economic complementarity and macroeconomic imbalances requiring large changes in equilibrium real exchange rates). The experience of other RIAs suggests other potential problems.
AFTA's prospects of evolving into deeper forms of sustainable integration are remote. Some cooperation in areas of common interest seems likely.     

Community Health Purchasing Alliances (CHPAs): how Florida CHPAs are affecting employers. A case study

Florida's health insurance reforms for small employers can be viewed as two distinct initiatives: insurance reform and the community health purchasing alliances (CHPAs). While small employer insurance reform legislation appears to have expanded access to coverage, the administrative structure of the CHPA still has a long way to go to capture the confidence of the marketplace.     

Bayesian and Frequentist Inference for Ecological Inference: The R×C Case

In this paper we propose Bayesian and frequentist approaches to ecological inference, based on R × C contingency tables, including a covariate. The proposed Bayesian model extends the binomial-beta hierarchical model developed by K ing , R osen and T anner (1999) from the 2×2 case to the R × C case. As in the 2×2 case, the inferential procedure employs Markov chain Monte Carlo (MCMC) methods. As such, the resulting MCMC analysis is rich but computationally intensive. The frequentist approach, based on first moments rather than on the entire likelihood, provides quick inference via nonlinear least-squares, while retaining good frequentist properties. The two approaches are illustrated with simulated data, as well as with real data on voting patterns in Weimar Germany. In the final section of the paper we provide an overview of a range of alternative inferential approaches which trade-off computational intensity for statistical efficiency.     

Semiparametric Estimation of a Duration Model

Within the framework of the proportional hazard model proposed in Cox (1972), Han and Hausman (1990) consider the logarithm of the integrated baseline hazard function as constant in each time period. We, however, proposed an alternative semiparametric estimator of the parameters of the covariate part. The estimator is considered as semiparametric since no prespecified functional form for the error terms (or certain convolution) is needed. This estimator, proposed in Lewbel (2000) in another context, shows at least four advantages. The distribution of the latent variable error is unknown and may be related to the regressors. It takes into account censored observations, it allows for heterogeneity of unknown form and it is quite easy to implement since the estimator does not require numerical searches. Using the Spanish Labour Force Survey, we compare empirically the results of estimating several alternative models, basically on the estimator proposed in Han and Hausman (1990) and our semiparametric estimator.     

Sectoral Shocks and Metropolitan Employment Growth

In this paper, we study the sources of industry employment growth in each of five metropolitan statistical areas (MSAs). The objective is to understand the relative importance of aggregate disturbances versus local sectoral shocks in generating observed employment fluctuations at the MSA level. The empirical evidence presented in this paper derives from structural vector autoregressions (SVARs), estimated for each of the five MSAs. Estimations use monthly employment data covering nine one-digit industrial categories for the period 1951:1–1999:8, as well as two variables that capture the influences of aggregate (i.e., national) shocks on MSAs. We find that within-MSA industry shocks explain considerably more of the forecast error variance in industry employment growth than do aggregate shocks. Sectoral shocks account for between 87 and 94% of the 36-month-ahead forecast error variance. Among individual local sectors, shocks to MSA-specific government, manufacturing, and service sector employment growth are the predominate sources of variability.     

Multivariate stable ARMA processes with time dependent coefficients

This paper considers the class of m-variate autoregressive moving average (ARMA) processes with stable innovations and time dependent coefficients. A set of suitable AR and MA regularity conditions is given to ensure existence and uniqueness of valid solutions. A simple form of the above solution is expressed in terms of one sided Green's matrix functions associated with the AR operator. We solve the prediction problem arising in this class of models. A few examples are added to support the general theory.