Tobit or OLS? An empirical evaluation under different diary window lengths

Researchers analysing time-use data often estimate limited dependent variable models because time spent must be nonnegative and cannot be more than the total amount of time in a given observation period. While the traditional empirical technique applied to such cases is maximum likelihood estimation of a Tobit (censored regression) model, recent debate has questioned whether linear models estimated via Ordinary Least Squares (OLS) are preferable. On the one hand, Tobit models are deemed necessary to address the significant censoring (i.e. large numbers of zeroes) typically found in time-use data, in the face of which OLS estimators would be biased and inconsistent. Yet, optimization occurs over a longer period than that covered by the typical time diary (often a day), and thus some argue that reported zeroes represent a measurement problem rather than true nonparticipation in the activity, in which case OLS would be preferred. We provide direct empirical evidence on this question using the Australian Time Use Surveys, which record time-use information for two consecutive diary days, by estimating censored and linear versions of a parental child care model for both 24-hour and 48-hour windows of observation in order to determine the empirical consequences of estimation technique and diary length.     

Credit growth,current account and financial depth

Exploring the determinants and dynamics of the current account balance is one of the priorities of academic literature and policy circles. Although the effects of structural variables are deeply analysed, a lesser attention has been paid to the impact of financial variables. Drawing on standard empirical current account models and with a large sample of industrial and developing countries, we report a significant deterioration in the current account balance in case of an increase in the credit growth. Moreover, we find that this link is substantially stronger for the developing ones motivating a closer examination. Therefore, we further advance our analysis and show that credit growth causes a stronger impact on the current account balance for lower levels of financial depth. In other words, at the early stages of financial development, acceleration in the credit growth might cause a larger deterioration in the current account balance; thus, it might be suggested that monetary policy and macro-prudential measures aimed at preventing financial excess might be more effective to reduce the external imbalances at the early stages of financial deepening.     

Financial structure in the age of globalization

Using a large panel data set covering 160 countries over the period 1990 to 2010, this article aims to address the question of how financial structure (bank-based versus market-based system) changes when economies are liberalized and opened to international capital markets. Specifically, in this study, globalization is characterized not only by trade and financial integration but also by other important aspects, such as social globalization, political globalization and cultural globalization. The empirical results support the impacts of globalization on financial structure, which are, however, diverse and strongly depend on the way to measure globalization and financial structure. Our finding also reveals a significant change in financial structure after the globalization process, except the case of low-income countries, in which financial structure seems to be not correlated with either globalization process or other macroeconomic variables.     

A two-stage translog marginal cost pricing approach for Floridian hospital outputs

Since the passage of the Affordable Care Act (ACA) of 2010, issues still remain regarding the mandated purchase of insurance to ensure more universal coverage. One such issue is the pricing of these insurance packages and whether or not the reimbursements will cover necessary services. Therefore, policy concerns exist that increasing the number of insured individuals may not curtail costs. Conversely, providers may not wish to treat patients covered by excessively frugal plans such as Medicaid; hence the trade-offs between access and cost control. In this article, we present findings from a cost function and a productivity approach to determine the marginal cost of providing inpatient hospital care for hospitals operating in Florida during 2005. Using these methodological approaches, we are able to use the marginal rate of transformation to determine the relative marginal costs while controlling for hospital technical and allocative inefficiency. Our work differs from earlier articles as we avoid the Greene problem for cross-sectional models through a two-step approach. By including both reimbursement rates under conditions of hospital efficiency, we can ascertain payment schemes that should, at least in theory, cover necessary costs for patient care without leading to excessive input usage.     

Realized EquiCorrelation: a bird’s-eye view of financial stress on equity markets

This article addresses the issue of measuring the level of aggregate financial stress on stock markets, which is a central issue for investors and policy-makers. To this end, Realized EquiCorrelation (REC) is obtained by plugging realized volatility as an input into the Dynamic EquiCorrelation (DECO) model where both the continuous and jump components of realized volatility are considered. An application is provided for the 20 major stock markets over January 2000–May 2014 using intra-day data. The results remarkably pick up financial stress periods.     

Does R&D,human capital and FDI matter for TFP in OECD countries?

ABSTRACT

This study investigates the interplay between research and development (R&D), human capital (HC), foreign direct investment (FDI) and total factor productivity (TFP) in OECD countries. We divide the sample into two sub-groups; the European and the non-European states so as to account for underlying country heterogeneity. The analysis follows a panel data approach over the period 1995–2015, taking into account the modelling on non-stationarity, long-run relationships and short-run dynamics with a panel VAR. Both R&D and HC have a positive effect on TFP, whilst FDI has a positive and significant effect only in the case of non-European countries. Moreover, the contribution of R&D is higher than that of HC and FDI in all cases. Thus, based on these findings, policymakers should design and implement policies to increase resources invested in R&D, with a consistent ongoing spending review, to attract foreign direct investment, especially for the majority of the European and some of the non-European countries and to improve education system on a more productive innovation and research base.     

Biotechnology as a Technological Paradigm in the Global Knowledge Structure

The aim of this study is to analyse whether the receipt of public R&D funding determines firm's R&D strategy selection. This issue is crucial, as previous studies have shown that each R&D strategy is associated to a higher, or lower, innovation performance. We consider three R&D strategies – make, buy, make–buy – and three different sources of public funding – regional, state and other (such as EU). The model estimation is performed through a multinomial logit model with random effects with a sample of 457 large firms for the period 1992–2005, taken from the Spanish Survey of Business Strategies. The main finding is that the source of the funding influences whether firms select the make, buy or make–buy strategy. Additionally, because of the panel structure of the sample, we observe that the effect of public funding on the R&D strategy selection lasts longer for state and regional funds than for other funds.     

A Framework for Reconsidering the Lake Wobegon Effect

The Lake Wobegon Effect (LWE) describes the potential measurement-error bias introduced into survey-based analyses of education issues. Although this effect potentially applies to any student-report variable, the systematic overreporting of academic achievements such as grade point average is often of preeminent concern. This concern can be easily circumvented if official records data are available; however, many researchers can only access student-reported data. In this article, the authors examine whether using student-survey data in place of official records data meaningfully biases regression estimates. They motivate their contribution by noting a useful statistical feature of overreporting on bounded variables such as grade point average. Specifically, the misreports will be negatively correlated with the true grade point average, yielding a form of nonclassical measurement error that actually counteracts the bias. The authors connect this observation to reliability ratios used in labor economics, which are simple ways to adjust for attenuation bias, when needed. In two applications, we find that it is unnecessary to correct for the LWE bias because it is so small.     

The Limitations of Karl Marx' Social Economics ∗

Studies of the relationship between political democracy and economic inequality have produced diverse findings. This study attempts to mitigate some conceptual and methodological problems inherent in such studies by using multi-indicator concepts of inclusive democracy and economic inequality. Data from the five major historically and culturally homogeneous South Asian countries covering 1980–2003 suggest some bidirectional, positive relationship between inclusive democracy and economic inequality indicating that democracy and equality may not be fully compatible in this region. The paper offers contextual explanations and some mechanisms that may have led to these findings for the region, somewhat deviating from the conventional arguments.     

Merger Waves and Firm Growth: Contemporary Historical Evidence

This article presents the outcomes of an evaluation of the impact of the series of mergers of the local exchange companies that have taken place between 1988 and 2001 on an important measure of performance of the firms undergoing the mergers. The analysis reveals that after firms have undertaken one merger they experience little or no growth after such mergers, but the impact of second mergers on firm growth have been negative. If an important motive in undertaking mergers has been to enhance firm growth, then the merger waves that have been approved and consummated have led to performance declines. The impacts of the merger wave on the growth of the telecommunications sector firms have been negative.