Decision theoretic estimation using record statistics

We consider the problem of estimating the scale parameter θ of the shifted exponential distribution with unknown shift based on a set of observed records drawn from a sequential sample of independent and identically distributed random variables. Under a large class of bowl-shaped loss functions, the best affine equivariant estimator (BAEE) of θ is shown to be inadmissible. Two dominating procedures are proposed. A numerical study is performed to show the extent of risk reduction that the improved estimators provide over the BAEE.     

The Middle-Eastern marriage pattern? Malthusian dynamics in nineteenth-century Egypt

Malthus predicted that fertility rises with income and that people regulate fertility via regulating marriage. However, evidence on the Malthusian equilibrium has been mostly confined to Europe and East Asia. We employ Egypt's population censuses of 1848 and 1868 to provide the first evidence on the preindustrial Malthusian dynamics in the Middle East and North Africa. At the aggregate level, we document rural Egyptian women having a high fertility rate that is close to the Western European level, combined with low age at marriage and low celibacy rate, that are closer to the East Asian levels. This resulted in a uniquely high fertility regime that was probably offset by the high child mortality. Next, we provide individual-level evidence on the positive correlation between fertility and income (occupation). We find that the higher fertility of rural white-collar men is attributed to their marriage behaviour, and not to marital fertility. Specifically, white-collar men's higher polygyny explains 45 per cent of their fertility advantage, whereas their higher marriage rate and lower wife's age at marriage explains 55 per cent. Therefore, polygyny was an additional factor that led to a steeper income–fertility curve than in Western Europe by enabling the rural middle class to out-breed the poor.     

The role of biomass energy consumption and economic complexity on environmental sustainability in G7 economies

This paper empirically examines the effect of biomass energy consumption and economic complexity on environmental sustainability in G7 economies. The current study attempts to report a comprehensive analysis of biomass energy and economic complexity on ecological and carbon footprints and carbon emissions. We employ data from 1990 to 2019 and adopt robust panel econometric techniques that account for the analysis's cross-sectional dependence. We conduct cointegration analysis, pooled ordinary least squares (OLS), system generalized method of moments (GMM) and conditional quantile model for our empirical analysis. The empirical findings show that both biomass energy consumption and economic complexity are detrimental to the ecological footprint and carbon footprint. Additionally, we find that globalization positively affects the environment, while we find some evidence that bureaucratic quality improves environmental quality. Finally, in line with other research, we find that economic growth has detrimental effects on the environment. Our results suggest that policymakers should be more cautious in promoting biomass as a clean energy source and that the G7 economies should take advantage of their leading position in innovation to invest more in sustainable practices and investment.     

Foreign Direct Investments,Renewable Electricity Output,and Ecological Footprints: Do Financial Globalization Facilitate Renewable Energy Transition and Environmental Welfare in Bangladesh?

Asia-Pacific Financial Markets - Phasing out fossil fuel dependency to adopt renewable energy technologies is pertinent for both ensuring energy security and for safeguarding the well-being of the...     

The use of digital footprints in the US mortgage market

We study the rise of digital footprint (DF) users in the U.S. residential mortgage market. The proportion of lenders that use a borrower's DF has witnessed remarkable growth from 6% in 2013 to 34% in 2018 in a short span – according to our analysis. We show that the use of DFs can significantly reduce a lender's overall risk and that the use of DFs can result in considerable societal benefits, by reducing the overall discriminatory forces. In sum, we provide evidence that the informational advantage associated with using a borrower's DF far outweighs that of existing traditional lending methods.     

Bootstrap rolling-window Granger causality dynamics between momentum and sentiment: implications for investors

Annals of Finance - This paper seeks to examine the unidirectional versus bidirectional Granger causality between investors’ sentiment and momentum strategies. It is based on the full sample...     

Electricity Tariff Changes and Consumer Sentiment on Household Consumption Expenditure in Malaysia

Purpose

This study investigates the impact of the current electricity tariff, represented by optimized tariff calculation, on Malaysian household’s consumption across different levels of income.

Design/methodology/approach

The input-output (IO) model has vastly been used in many energy economics literature that presented the matrix of production between various sectors in an economy. This study aggregated the 124 subsectors in IO Price Table 2015 into 12 groups of consumption of goods and services based on Household Expenditure Survey 2019 (HES 2019) to meet the study’ objectives.

Findings

This study found that in all simulations, high-income earners would be highly affected by the tariff changes. The lower the increment level in electricity tariff rate, the lower the magnitude would be on the changes of household expenditure level.

Research limitations/implications

Optimization in electricity tariff consumptions can pattern the Malaysian household’s consumption across different levels of income efficiently.

Practical implications

Useful to all consumer in the Malaysia economic business sector to predict their energy consumption up to optimum level.

Social implications

The study’s findings can benefit the society in optimiza their electricity consumption since everyone requires the energy for basic needs in their life.