Does tourism-led growth hypothesis exist in Mauritius? Evidence from disaggregated tourism markets

We use the data of total tourism market and 10 major tourism markets in Mauritius to test the validity of tourism-led growth hypothesis in the country for the period 1980–2011. Using causality techniques, we confirm the hypothesis for the total tourism market. However, tourism-led growth exists in only 6 of the 10 markets. We conclude that not all tourism markets are contributing substantially to Mauritius’ economy.     

On the performance of the Chow-Lin procedure for quarterly interpolation of annual data: Some Monte-Carlo analysis

Most of the countries of the OECD offer quarterly estimates of their national growth or of their Gross National Product. Official Statistical Agencies in western countries have to deal with the problem of estimating Quarterly National Accounts series congruently with Annual National Accounts. In Spain, the Instituto Nacional de Estadística uses the Chow-Lin disaggregation method, which is based on information provided by a group of high-frequency related variables, to estimate the quarterly components of National Accounts from annual components. In this paper, we analyse the relative quality of the estimates obtained through the Chow-Lin procedure, under different sets of hypotheses.JEL Classification: C15, C43, M40We are grateful to Maria Amparo Ripoll for her assistance. The authors also wish to thank three anonymous referees and an editor for their constructive suggestions and comments. This research was partially made during the stay of the first author at the Universidad Carlos III de Madrid. It has been partially supported by the research project DGCYT PB98-1460.     

A New Measure of Disclosure Quality: The Level of Disaggregation of Accounting Data in Annual Reports

We construct a new, parsimonious, measure of disclosure quality—disaggregation quality (DQ)—and offer validation tests. DQ captures the level of disaggregation of accounting data through a count of nonmissing Compustat line items, and reflects the extent of details in firms’ annual reports. Conceptually, DQ differs from existing disclosure measures in that it captures the “fineness” of data and is based on a comprehensive set of accounting line items in annual reports. Unlike existing measures, which are usually applicable for a subset of firms or are based on a subset of information items, DQ can be generated for the universe of Compustat industrial firms. We conduct three sets of validation tests by examining DQ's association with variables predicted by prior literature to be associated with information quality. DQ is negatively (positively) associated with analyst forecast dispersion (accuracy) and negatively associated with bid‐ask spreads and cost of equity. These associations continue to hold after we control for firm fundamentals. Taken together, results from this battery of validation tests are consistent with our measure capturing disclosure quality.     

The historical roots of India’s service-led development: A sectoral analysis of Anglo-Indian productivity differences, 1870-2000

India fell further behind the UK in terms of GDP per capita and overall labour productivity between the 1870s and the 1970s, but has been catching-up since. This paper offers a sectoral analysis of these trends. Comparative India/UK labour productivity in agriculture has declined continuously, and agriculture still accounts for around two-thirds of employment in India. Agriculture thus played a key role in India’s falling behind and has subsequently slowed down the process of catching up. Although there have been substantial fluctuations in comparative India/UK labour productivity in industry, this sector has exhibited no long run trend. The only sector to exhibit an upward trend in comparative India/UK labour productivity is services. India’s recent emergence as a dynamic service-led economy thus appears to have long historical roots. Although India has been characterised by relatively low levels of physical and human capital formation overall, its education provision has historically been unusually skewed towards secondary and tertiary levels. This has provided a limited supply of high productivity workers who have been employed predominantly in services.     

What Can Acreage Allocations Say about Crop Supply Elasticities? A Convex Programming Approach to Supply Response Disaggregation

This article has two goals. The first is to extend previous results regarding calibration of land‐constrained programming models of agricultural supply against supply elasticities to the general case of multiple constraints. The second goal is to demonstrate how the resulting calibration conditions can be used as a source of identification to disaggregate crop supply elasticities down to the level at which static information on acreage allocations is available. We propose an information‐based disaggregation algorithm to systematically generate regionalised elasticities from a single prior, and provide an empirical illustration.     

Disaggregation of Local Apartment Markets by Unit Type

Recent market segmentation research has begun to delve into the issue of whether traditional property-type categories are sufficiently homogeneous to be modeled as aggregate real estate markets. This article extends the research on rental-property market segmentation by investigating the existence of apartment submarkets determined by unit type. The study finds that one-bedroom, one-bath units; two-bedroom, one-bath units; and two-bedroom, two-bath units function as distinct submarkets differentiated by property features, neighborhood location, and temporal changes in market rent.     

An Empirical Investigation of the Effect of CFO Power on Disclosure Quality

We examine the association between chief financial officer (CFO) power and disclosure quality, measured using financial statement disaggregation disclosure and analyst forecast disclosure. Empirically, we validate that CFO power, measured by multiple dimensions, is positively associated with firms’ disclosure quality. We also find that this positive association between CFO power and disclosure quality is stronger when firms exhibit higher governance monitoring and accounting quality. Further analysis shows that our main results hold across multiple disclosure quality tests. Our findings are robust to addressing endogeneity issues using two-stage least squares, Heckman selection bias, and propensity score matching analyses. The results highlight the importance of CFO power for the accounting reporting process and decision-making.     

Estimation of Common Factors under Cross‐Sectional and Temporal Aggregation Constraints

The paper estimates a large‐scale mixed‐frequency dynamic factor model for the euro area, using monthly series along with gross domestic product (GDP) and its main components, obtained from the quarterly national accounts (NA). The latter define broad measures of real economic activity (such as GDP and its decomposition by expenditure type and by branch of activity) that we are willing to include in the factor model, in order to improve its coverage of the economy and thus the representativeness of the factors. The main problem with their inclusion is not one of model consistency, but rather of data availability and timeliness, as the NA series are quarterly and are available with a large publication lag. Our model is a traditional dynamic factor model formulated at the monthly frequency in terms of the stationary representation of the variables, which however becomes nonlinear when the observational constraints are taken into account. These are of two kinds: nonlinear temporal aggregation constraints, due to the fact that the model is formulated in terms of the unobserved monthly logarithmic changes, but we observe only the sum of the monthly levels within a quarter, and nonlinear cross‐sectional constraints, since GDP and its main components are linked by the NA identities, but the series are expressed in chained volumes. The paper provides an exact treatment of the observational constraints and proposes iterative algorithms for estimating the parameters of the factor model and for signal extraction, thereby producing nowcasts of monthly GDP and its main components, as well as measures of their reliability.     

Identifying uncertainty shocks using world diffusion index

ABSTRACT

In this study, a world diffusion index is developed to measure how uncertainty shocks have diffused among 179 economies and caused contractions in the world growth cycles. This index is simply defined as the percentage share of the number of expanding countries. It identifies four uncertainty shocks: the oil crisis of 1973; the bursting of the information technology bubble in 2000; the credit crunch of 2007; and the European debt crisis of 2010. To overcome the problem of data unavailability in emerging market economies, the annual GDP values of 179 economies are transformed through temporal disaggregation, and the dating of quarterly growth cycles is implemented as per the OECD method. The empirical findings indicate that each of the uncertainty shocks caused severe contractions in the advanced economies but that the emerging market economies experienced such contractions only during the credit crunch of 2007. Policy implications are also discussed.