Economic ModellingPub Date : 2025-09-22DOI: 10.1016/j.econmod.2025.107300
Jakub Moučka, Daniel Němec
{"title":"Improving macroeconomic model credibility: Reducing reliance on frictions through observed inflation expectations","authors":"Jakub Moučka, Daniel Němec","doi":"10.1016/j.econmod.2025.107300","DOIUrl":"10.1016/j.econmod.2025.107300","url":null,"abstract":"<div><div>This paper reassesses the credibility of rational expectations in dynamic stochastic general equilibrium (DSGE) models by examining their limitations in capturing real-world macroeconomic dynamics. Using the Smets and Wouters model as a baseline, we incorporate various survey-based measures of inflation expectations to evaluate their effects on model fit and forecasting accuracy. The framework is extended to include financial frictions, unemployment, time-varying inflation targets, and news shocks. Results show that incorporating observed inflation expectations improves model fit, reduces posterior uncertainty around shocks, and lowers reliance on ad hoc rigidities such as indexation and investment adjustment costs, particularly in case of U.S. data. However, these expectations do not consistently improve the model’s ability to replicate key macroeconomic moments. The magnitude and direction of improvements vary across model variants and between the U.S. and the Euro area. Robustness checks suggest that observed expectations help mitigate the effects of structural breaks. Overall, the findings enhance model predictions and challenge the sufficiency of relying solely on rational expectations in DSGE models.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"153 ","pages":"Article 107300"},"PeriodicalIF":4.7,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2025-09-20DOI: 10.1016/j.econmod.2025.107295
Yong Ma , Shuaibing Li , Xiaojun Liu
{"title":"Forecasting energy commodity returns: Can weak factors and nonlinearity help?","authors":"Yong Ma , Shuaibing Li , Xiaojun Liu","doi":"10.1016/j.econmod.2025.107295","DOIUrl":"10.1016/j.econmod.2025.107295","url":null,"abstract":"<div><div>This study investigates whether incorporating nonlinear structures and weak factors can improve the predictive accuracy of energy commodity returns. Existing literature emphasizes the utility of technical indicators and dimensionality reduction techniques, but it often overlooks nonlinear dynamics and the role of weak factors. To address these gaps, we apply the scaled sufficient forecasting (sSUFF) method, a novel dimension reduction approach, to enhance return predictions. Empirical results show that sSUFF outperforms traditional methods both in-sample and out-of-sample. It remains robust across varying economic conditions and performs particularly well during periods of heightened market volatility, such as the COVID-19 pandemic and the Russia–Ukraine conflict. sSUFF’s advantage arises from its ability to capture nonlinear patterns and effectively distinguish between strong and weak predictors. Economically, sSUFF-based forecasts yield higher investor returns, highlighting their practical value in financial forecasting and their relevance to investment strategies, risk management, and policy decisions.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"153 ","pages":"Article 107295"},"PeriodicalIF":4.7,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2025-09-19DOI: 10.1016/j.econmod.2025.107313
Xinhong Wu , Xinmei Wu
{"title":"How does bank digitalization benefit firm borrowing? Evidence from China","authors":"Xinhong Wu , Xinmei Wu","doi":"10.1016/j.econmod.2025.107313","DOIUrl":"10.1016/j.econmod.2025.107313","url":null,"abstract":"<div><div>This paper studies whether and how bank digitalization affects firm borrowing. While prior work emphasized the promising impact of digital finance on broadening financial accesses, the role of bank-specific digitalization from the perspective of borrowers remains underexplored. Based on the dataset of Chinese non-financial listed firms from 2010 to 2020, our results show that higher bank digitalization leads to reduced firm borrowing costs (−3.77 %), increased long-term loan ratios (+7.20 %), and lower collateralized loan ratios (−2.24 %). These effects are driven by two key mechanisms of enhanced risk control and cost-saving. Additionally, the positive role of bank digitalization in benefiting firm borrowing would be more pronounced for firms with smaller scale, non-state ownership, and higher productivity. Overall, our findings enrich the understandings on financial inclusion agenda and provide policy insights for improving bank digitalization.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"153 ","pages":"Article 107313"},"PeriodicalIF":4.7,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2025-09-18DOI: 10.1016/j.econmod.2025.107312
Nasir Khan , Sami Mejri , Arturo Leccadito , Sang Hoon Kang
{"title":"Geopolitical risk, macroeconomic factors and different assets during the war periods: Implications for herding and portfolio diversification","authors":"Nasir Khan , Sami Mejri , Arturo Leccadito , Sang Hoon Kang","doi":"10.1016/j.econmod.2025.107312","DOIUrl":"10.1016/j.econmod.2025.107312","url":null,"abstract":"<div><div>This study examines dynamic connectedness and portfolio optimization among Gold, Bitcoin, Silver, Green bond, the S&P500 index, and expected geopolitical risk (GPR) during the Russia–Ukraine and Palestine–Israel conflicts. It employs a comprehensive array of methodologies, including the wavelet quantile vector autoregression method, revealing weak static and time-varying shock spillovers, and the wavelet cross quantilogram, elucidating heterogeneous and changing intrinsic dynamics across time frequency and quantiles. The frequency causality in quantiles reveals strong bidirectional causality across all quantiles and timescales between GPR and the five assets. These findings suggest that GPR and the five assets are marginally integrated with variable shock transmission across scales and frequency ranges. The extreme causality shock transmission indicates that the five assets may provide hedging and diversification opportunities at specific times. The findings of portfolio optimization reveal that tailored asset combinations and horizon-specific weight adjustments are essential to mitigate potential GPR-related downside risks during market stress. In the short and medium term (up to 32 days), optimal portfolio construction favours substantial allocations to Green Bonds to hedge risks from positions in Bitcoin and Silver. Over longer investment horizons (beyond 32 days) higher weights to Gold and the S&P 500 become more effective for mitigating downside risks.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"153 ","pages":"Article 107312"},"PeriodicalIF":4.7,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2025-09-18DOI: 10.1016/j.econmod.2025.107311
Naveen Kumar, Dibyendu Maiti
{"title":"Climate change, state capacity and uneven growth: A disaggregated analysis of India","authors":"Naveen Kumar, Dibyendu Maiti","doi":"10.1016/j.econmod.2025.107311","DOIUrl":"10.1016/j.econmod.2025.107311","url":null,"abstract":"<div><div>This study examines how rising temperatures affect India’s long-term economic growth, both at aggregate and disaggregated levels across regions, sectors, and seasons. Existing research has predominantly relied on pooled estimation with panel data that inadequately address heterogeneity, temperature dynamics, and underlying transmission mechanisms, particularly at disaggregated levels. A cross-sectionally augmented auto-regressive distributed lag model (CS-ARDL) is estimated using panel data that capture state-specific weather-output relationships, long-term impacts, temperature persistence, intra-annual variability, unobserved heterogeneity, and cross-regional spillovers. The findings reveal that, on average, a 1 °C annual temperature variation reduces economic growth by 3.89%, nearly twice the previous estimate. Second, results suggest that annual temperature variation diminishes growth by damaging productivity through reduced ecosystem services, labour, and capital efficiency. Third, state capacity plays a moderating role in shaping regional vulnerability to temperature shocks. Fourth, impacts are heterogeneous, varying by season (greater in winter), region (higher in southern and hotter regions), and across sectors.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"153 ","pages":"Article 107311"},"PeriodicalIF":4.7,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2025-09-16DOI: 10.1016/j.econmod.2025.107308
Xia Fang , Yun Zhang , Shuqing Lv , Longxin Tan
{"title":"Does digital finance spatial correlation drive income convergence?","authors":"Xia Fang , Yun Zhang , Shuqing Lv , Longxin Tan","doi":"10.1016/j.econmod.2025.107308","DOIUrl":"10.1016/j.econmod.2025.107308","url":null,"abstract":"<div><div>Digital finance significantly boosts household incomes and reduces regional disparities. Although digital finance can narrow income inequality, the spatial impact of digital finance on income convergence remains inadequately examined. This study evaluates whether and how the spatial correlation with central digital finance regions promotes income convergence, by employing a modified gravity model and data from Zhejiang Province in China. The empirical evidence shows that digital finance spatial correlation can contribute to income growth. Notably, low-income regions derive a stronger growth impetus by enhancing spatial correlation with central digital finance regions, narrowing the income inequality with high-income regions. Specifically, capital flow, technological innovation, and business creation are three effective mechanisms. Heterogeneity analysis demonstrates that the convergence effect is particularly significant for regions with mountains and without high-speed rail (HSR) stations, underscoring the spatial penetration capabilities of digital finance. Governments should encourage more cross-regional digital finance cooperation to achieve balanced regional development.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"153 ","pages":"Article 107308"},"PeriodicalIF":4.7,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2025-09-16DOI: 10.1016/j.econmod.2025.107294
Michael Ryan, Mark J. Holmes
{"title":"The effect of uncertainty on output: Instruments, identification, and the role of investment","authors":"Michael Ryan, Mark J. Holmes","doi":"10.1016/j.econmod.2025.107294","DOIUrl":"10.1016/j.econmod.2025.107294","url":null,"abstract":"<div><div>This study investigates the impact of uncertainty shocks on output in New Zealand between 1985Q2 and 2018Q4 using the Internal and External Instrument versions of the Structural Vector Autoregression model. While the existing literature has relied almost exclusively on the External Instrument approach, this method requires the invertibility of the uncertainty shock, whereas the Internal Instrument approach does not. We formally test for, and reject, invertibility in our application, reflecting that uncertainty frequently arises from concerns about future policy or economic fundamentals. As the two instrumental variable models produce quantitatively different impulse responses for output, we empirically illustrate the importance of testing for invertibility and using the results to guide model selection. We also find that the effects of uncertainty shocks on New Zealand’s output are larger than previously documented — with investment a key transmission channel — suggesting that counter-cyclical policy may need to respond more aggressively to uncertainty-driven downturns.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"152 ","pages":"Article 107294"},"PeriodicalIF":4.7,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2025-09-13DOI: 10.1016/j.econmod.2025.107302
Qing Peng , Haisheng Yang , Jie Li
{"title":"Gender gap in working span, employment, and labor productivity","authors":"Qing Peng , Haisheng Yang , Jie Li","doi":"10.1016/j.econmod.2025.107302","DOIUrl":"10.1016/j.econmod.2025.107302","url":null,"abstract":"<div><div>The sex-differential retirement age policy in China results in a shorter working span of 5–10 years for women than for men. Using a transferable utility model, we document that this gender gap negatively impacts employment and labor productivity. Delaying women’s retirement to 55–60 years would increase urban employment by 0.43–0.80 percentage points and improve labor productivity by 13%–22%. However, such reforms could disrupt young mothers’ careers, as grandmothers play an important role in childcare. Our counterfactual simulations show that if 10% of young mothers with two children quit their jobs, it could decrease aggregate output by 6.11%. Therefore, improving public childcare services is crucial to support the transition of postponing women’s retirement.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"152 ","pages":"Article 107302"},"PeriodicalIF":4.7,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2025-09-11DOI: 10.1016/j.econmod.2025.107309
Xiaoliang Chen , Junjie Guo , Junming Zhang
{"title":"How does aging population affect China's monetary policy effectiveness: Empirical evidence and theoretical analysis","authors":"Xiaoliang Chen , Junjie Guo , Junming Zhang","doi":"10.1016/j.econmod.2025.107309","DOIUrl":"10.1016/j.econmod.2025.107309","url":null,"abstract":"<div><div>This paper investigates how aging population affects the effectiveness of China's monetary policy. While existing literature has shown that aging population weakens monetary policy transmission in developed countries, its implications for emerging economies like China remain unclear. Using the local projection method and Chinese data across varying aging phases, our estimates indicate that the output stimulus from monetary policy is reduced by over 30 % as the population ages. To uncover the underlying mechanism, we construct a New Keynesian DSGE model with perpetual youth, showing that aging dampens monetary policy effectiveness primarily through the investment channel. Unlike developed countries, this effect arises because aging reduces labor supply and lowers the marginal return to capital, weakening investment responses. Our findings suggest that China's recent reform to delay retirement age can mitigate this decline, offering a policy lever to sustain monetary effectiveness amid demographic headwinds.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"152 ","pages":"Article 107309"},"PeriodicalIF":4.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Economic ModellingPub Date : 2025-09-11DOI: 10.1016/j.econmod.2025.107305
Hirofumi Fukuyama , Roman Matousek , Nickolaos G. Tzeremes
{"title":"Detecting skimping in bank production process with non-performing loans: A distance minimization approach","authors":"Hirofumi Fukuyama , Roman Matousek , Nickolaos G. Tzeremes","doi":"10.1016/j.econmod.2025.107305","DOIUrl":"10.1016/j.econmod.2025.107305","url":null,"abstract":"<div><div>We propose a minimum-distance efficiency model that incorporates material-balance constraints and treats non-performing loans (NPLs) as an explicit, undesirable output. Unlike radial distance functions, our non-radial formulation lets each input and output adjust independently. This flexibility uncovers latent inefficiencies most notably skimping. Skimping arises when managers cut loan-monitoring costs today at the expense of future asset quality. Applied to U.S. commercial banks over 2003–2017, the model shows that institutions reporting high short-run cost efficiency often experience a subsequent rise in NPLs, suggesting potential skimping behavior. For every bank, the estimator delivers a tailored vector of adjustments for assets, staff, loans, securities, and NPLs that would move it to the best-practice frontier, thus supplying managers with concrete, risk-aware performance targets. By linking operating choices, credit-risk outcomes, and overall efficiency within a single framework, the study offers regulators and practitioners a more informative tool for diagnosing performance shortfalls and designing corrective strategies.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"152 ","pages":"Article 107305"},"PeriodicalIF":4.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}