International Journal of Empirical Economics

This study examines how digital transformation technology (DTT) adoption affects the speed of total factor productivity (TFP) convergence using Korean firm-level data from 2017 to 2023. We confirm the presence of TFP convergence in both manufacturing and non-manufacturing sectors. We find that DTT adoption is associated with higher TFP growth in both sectors. However, the speed of convergence slo…

How do the adding of new products and the dropping of old products by incumbent firms interact with aggregate economic activities over the business cycle? This paper empirically examines the effects of demand and supply shocks on product dynamics by constructing an unique firm-product data set from the Japanese Census of Manufactures. The data are available annually and are more disaggregated tha…

This paper examines the pricing power of Indian manufacturing firms at the 2-digit level of the National Industrial Classification (NIC), using input and output price indices derived from Supply and Use Tables and wholesale price data. Pricing power, defined as a firm’s ability to raise prices without losing demand, is crucial for maintaining profitability amid economic uncertainties like trade p…

Digital governance (DG) plays a significant role in effectively executing a number of economic activities, thereby promoting sustainable development. Not only this, but it can also play a critical role in energy management. However, only a few studies are available on how DG impacts energy markets. Therefore, the main focus of this research is to examine how DG impacts coal consumption (CC). A pa…

E-commerce has revolutionized the way firms and businesses operate and compete in the world economy. This paper examines the impact of e-commerce competition on product churning in the manufacturing sector, using a unique dataset of Korean manufacturing establishments. Our empirical results suggest that in the era of e-commerce competition, only manufacturers with foreign markets, exporters, are …

This study investigates the defensive properties of green assets against geopolitical shocks and their implications for portfolio diversification across green and non-green cryptocurrency, exchange-traded fund (ETF) and commodity markets. Utilising daily data from 2018 to 2025, we apply quantile-based time series methods with a graphical network approach to examine the asymmetric relationships be…

This paper provides the first comprehensive empirical analysis of the determinants of attendance in NCAA Division I women’s basketball. We use a national game-level dataset from the 2023–2024 season and a separate longitudinal panel covering 2015–2016 through 2023–2024. Using OLS, Tobit, and GLM, we show that attendance — measured as a fraction of arena capacity — is strongly associated with team…

This study analyses the stability of financial linkages in the Middle East and North Africa (MENA) across time horizons and under extreme market conditions. A set of novel econometric models combining frequency and quantile analysis is applied. We investigate the connectedness of MENA stock markets using a quantile frequency connectedness approach based on the quantile vector autoregressive (QVAR…

This study examines the reaction of the Egyptian stock market to global economic policy uncertainty (EPU), controlling for key macro-financial variables such as exchange rates, inflation, T-bill rates, gold prices, and global equity markets. Using monthly data since the inception of the EGX30 index, the study utilises rolling correlation analysis and an autoregressive distributed lag (ARDL) model…

It has become indisputable that Africa’s tremendous natural resource potential has not translated into the eradication of its various underdevelopment pathogens. Like other pathogens, food insecurity, while exacerbated by climate change, is also influenced by governance issues. This study, therefore, investigates the direct and indirect effects of government effectiveness on food security through…

This paper models the month-over-month change in euro-denominated (EUR) long-term interest rate swap yields. It shows that the change in the short-term interest rate has an economically and statistically significant effect on the change in EUR swap yields of different maturity tenors in the subsequent period, after controlling for various macroeconomic and financial variables, such as the month-o…

The percentage of foreign born residents in the United States has steadily risen over the past half century. This increase has been even more marked for athletes where, in some cases, the foreign born percent on professional sports rosters has approached 30%. We examine the impact this rise has had on Major League Baseball. In contrast to the previous literature which use aggregate data, we inves…

Due to the rapid growth of the Chinese housing market over the past ten years, forecasting home prices has become a crucial issue for investors and authorities alike. In this research, utilising Bayesian optimisations and cross validation, we investigate Gaussian process regressions across various kernels and basis functions for monthly residential real estate price index projections for ten sign…

Throughout history, governments and investors have relied on predictions of prices for a broad spectrum of commodities. Using time-series data covering 08/23/2013–04/15/2021, this study investigates the challenging problem of predicting scrap steel prices, which are issued daily for the northeast China market. Previous research has not sufficiently taken into account estimates for this significan…

In recent years, the concurrent occurrences of the COVID-19 pandemic and the Russian invasion of Ukraine have led to global disruptions in supply chains and a surge in commodity prices. Major advanced economies have experienced an increase in inflation rates and a decline in economic activity. Against this economic backdrop, this paper aims to address the strained condition of supply chains by em…

As we enter the digital era, the digital economy provides an opportunity for China’s manufacturing industry to achieve ‘smart manufacturing’ and provides important support for China to move from a ‘big manufacturing country’ to a ‘strong manufacturing country’. This paper constructs an indicator system for the level of digital economy development in Chinese cities by determining the connotation o…