An Econometric Analysis of the Determinants of Fertility for China, 1952–2000

This study investigates the determinants of the fertility rate in China over the 1952–2000 period. Consistent with theory, the key explanatory variables in our fertility model are real per capita income, infant mortality rate, female illiteracy and female labour force participation rates. The long-run results and the test for cointegration are based on the Johansen (1988 Johansen, S. 1988. Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12: 231–254. [Crossref], [Web of Science ®] , [Google Scholar]) and Johansen & Juselius (1990 Johansen, S and Juselius, K. 1990. Maximum likelihood estimation and inference on cointegration – with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52: 169–210. [Crossref], [Web of Science ®] , [Google Scholar]) approach. Our long-run results conform to theory in that all variables appear with their expected signs, and the dummy variable used to capture the effects of the family planning policy indicates that in the years of the policy, fertility rates have been falling by around 10–12%. Our results suggest that socio-economic development – consistent with the traditional structural hypothesis – played a key role in China's fertility transition.     

Exploring the nexus between tourism,remittances and growth in Kenya

Recently there has been a surge in remittances inflow to Kenya while tourism receipts appears to be declining, albeit gradually. In light of these developments, the paper explores the plausible effects of tourism and remittances on per worker output. We use the annual data over 1978–2010 periods and the ARDL bounds approach within the augmented (Solow in Q J Econ 70:65–94, 1956) framework. The regression results show that tourism has a marginal net negative effect in the short-run however positive effect in the long-run. Remittances, on the other hand, have a net positive effect in short-run and negative effect in the long-run. The key results from the Toda–Yamamoto Granger non-causality (Toda and Yamamoto in J Econom 66:225–250, 1995) results show a unidirectional causation from remittances to output per worker; and from output per worker to tourism. A unidirectional ‘combined effect’ of all variables causing output and remittances, respectively are evident as well. Conclusively, tourism is one of the leading drivers of Kenyan economy. To boost gains from tourism, the sector needs to align policies to the Kenya 2030 strategic framework with significant focus on expanding markets, boosting investment, and growth. Remittances market need to be further developed strategically with the view to improving Kenyan migrant led growth initiatives with plausible links to tourism development.     

Investigating business cycle asymmetry for the G7 countries: Evidence from over a century of data

In this paper we test for asymmetric behaviour of business cycles for the G7 countries, using the entropy-based test for asymmetry suggested by Racine and Maasoumi [Racine, J.S., & Maasoumi, E. (in press-a). A versatile and robust metric entropy test of time-reversibility, and other hypotheses, Journal of Econometrics; Racine, J.S., & Maasoumi, E. (in press-b). A robust entropy based test for asymmetry. Econometric Reviews.]. We find overwhelming evidence of symmetry. In only 14% of the cases, we find some evidence of asymmetric behaviour of GDP and per capita GDP. More importantly, the period marked by the flexible exchange rate regime, over which much of the empirical work for the G7 countries has been conducted, evidence suggests that the two GDP series are symmetric.     

Purchasing Power Parity and aggregation bias for a developing country: The case of Mexico

This paper investigates long-run Purchasing Power Parity (PPP) between the US and Mexico. We use a panel of disaggregated price data between the US and Mexico with a long time series to look at two types of aggregation bias. The first is examined in Imbs et al. — which we refer to as estimator aggregation bias — and the second is put forth by Broda and Weinstein — hereafter, data aggregation bias. The findings indicate substantial estimator aggregation bias and data aggregation bias. Although estimates using aggregate data and imposing homogeneous coefficients provide little evidence of PPP, findings with disaggregated data and heterogeneous coefficient estimators offer strong support. The results also suggest the presence of small-sample bias as examined in Chen and Engel, but with little effect on the qualitative results. Tradable goods and non-tradable goods show little distinction in convergence rates. Estimated half-lives are lower under flexible than fixed exchange rates and indicate rapid convergence during the Mexican peso crisis.     

A panel data approach to the demand for money and the effects of financial reforms in the Asian countries

Alternative panel data estimation methods are used to estimate the cointegrating equations for the demand for money (M1) for a panel of 14 Asian countries from 1970 to 2005. The effects of financial reforms are analyzed with estimates for two sets of sub-samples and two break dates. Our results show that money demand function has been stable and financial reforms are yet to have any significant effects. Since there is no evidence for instability in the demand for money, the central banks of these countries should use money supply, instead of the rate of interest, as the monetary policy instrument.     

Dividend Forecast Biases in Index Option Valuation

Since the early days of option pricing theory,the assumption that the dividends on the underlying stock or index over the life of the contract are known has not been challenged. We examine the sensitivity of index option prices to the assumption of dividend uncertainty. We consider a number of issues related to the forecasting of dividends and build a dividend forecasting model that passes several rigorous tests for unbiasedness. We then generate option prices using contemporary market levels and interest rates. We find that prices generated with the actual dividends are unbiased with respect to those generated using the forecasted dividends. The magnitudes of the forecast errors, however, are sufficiently large to suggest a concern, but the percentage errors are consistently small, typically amounting to less than two percent of the option price. We conclude that the convenient assumption that the stream of future dividendsis known is probably innocuous. This revised version was published online in November 2006 with corrections to the Cover Date.     

Mean square error estimation in multi-stage sampling

Summary: Suppose for a homogeneous linear unbiased function of the sampled first stage unit (fsu)-values taken as an estimator of a survey population total, the sampling variance is expressed as a homogeneous quadratic function of the fsu-values. When the fsu-values are not ascertainable but unbiased estimators for them are separately available through sampling in later stages and substituted into the estimator, Raj (1968) gave a simple variance estimator formula for this multi-stage estimator of the population total. He requires that the variances of the estimated fsu-values in sampling at later stages and their unbiased estimators are available in certain `simple forms'. For the same set-up Rao (1975) derived an alternative variance estimator when the later stage sampling variances have more ‘complex forms’. Here we pursue with Raj's (1968) simple forms to derive a few alternative variance and mean square error estimators when the condition of homogeneity or unbiasedness in the original estimator of the total is relaxed and the variance of the original estimator is not expressed as a quadratic form.  We illustrate a particular three-stage sampling strategy and present a simulation-based numerical exercise showing the relative efficacies of two alternative variance estimators. Received: 19 February 1999     

Toward an Understanding of Religiousness and Marketing Ethics: An Empirical Study

This study examines the influence of religiousness on different components of marketing professionals' ethical decision making: personal moral philosophies, perceived ethical problem, and ethical intentions. The data are from a national survey of the American Marketing Associations' professional members. The results generally indicate that the religiousness of a marketer can partially explain his or her perception of an ethical problem and behavioral intentions. Results also suggest that the religiousness significantly influences the personal moral philosophies of marketers.     

What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment

Business Strategy and the Environment (BSE) is a premier journal dedicated to interdisciplinary research that advances business practice leading to improvements in environmental performance. Using big data analytics, this review examines the intellectual structure and the drivers of research impact of BSE in the scholarly domain. The bibliometric results suggest three major findings. First, the top three countries contributing to BSE are the United Kingdom, the United States, and China. Second, BSE's research manifests through five thematic clusters, namely, business strategy and sustainability; corporate governance and sustainability reporting; green marketing and pro-environmental behavior; innovation and environmental policy; and environmental management systems. Finally, BSE's research impact in terms of citations is significantly influenced by author affiliation (United States); article age (older), appearance (lead article and special issue), length (longer), and method (mix methods); title length (shorter title); and number of keywords (more keywords) and references (more references). Implications for BSE's readers and future contributors are discussed.