This paper analyses the pass-through of gas shocks to inflation in the euro area. First, it uses a Bayesian Structural Vector Autoregressive (BSVAR) framework to estimate the effects of gas supply shocks on headline inflation in the euro area and its four largest economies. A gas supply shock that increases gas prices by 10 % raises euro area headline inflation by 0.6 percentage points after one year. The transmission of gas supply shocks is driven by direct and indirect effects, i.e. by households consuming gas products and by second-round effects through production costs. We document cross-country heterogeneity arising from differences in reliance on energy commodities across consumption and production, as well as from variation in the regulation of retail energy prices. Second, we build a New Keynesian Dynamic Stochastic General Equilibrium (NK-DSGE) model augmented with energy and show that indirect effects account for approximately 75 % of the cumulative response of headline inflation after three years.
{"title":"The pass-through to inflation of gas price shocks","authors":"Lucia López , Florens Odendahl , Susana Párraga Rodríguez , Edgar Silgado-Gómez","doi":"10.1016/j.jedc.2025.105218","DOIUrl":"10.1016/j.jedc.2025.105218","url":null,"abstract":"<div><div>This paper analyses the pass-through of gas shocks to inflation in the euro area. First, it uses a Bayesian Structural Vector Autoregressive (BSVAR) framework to estimate the effects of gas supply shocks on headline inflation in the euro area and its four largest economies. A gas supply shock that increases gas prices by 10 % raises euro area headline inflation by 0.6 percentage points after one year. The transmission of gas supply shocks is driven by direct and indirect effects, i.e. by households consuming gas products and by second-round effects through production costs. We document cross-country heterogeneity arising from differences in reliance on energy commodities across consumption and production, as well as from variation in the regulation of retail energy prices. Second, we build a New Keynesian Dynamic Stochastic General Equilibrium (NK-DSGE) model augmented with energy and show that indirect effects account for approximately 75 % of the cumulative response of headline inflation after three years.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"182 ","pages":"Article 105218"},"PeriodicalIF":2.3,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-26DOI: 10.1016/j.jedc.2025.105228
James Hebden, Fabian Winkler
We propose an efficient procedure to solve for policy counterfactuals in sequence space. Forecasts of the variables relevant for the policy problem, and their impulse responses to anticipated policy shocks, constitute sufficient information to construct valid counterfactuals. Knowledge of the structural model equations or filtering of structural shocks is not required. The underlying model has to be linear but occasionally binding constraints are allowed under quasi-perfect foresight. We solve for deterministic and stochastic paths under instrument rules as well as under optimal policy with commitment or subgame-perfect discretion. As an application, we compute counterfactuals of the U.S. economy after the pandemic shock of 2020 under several monetary policy regimes.
{"title":"Computation of policy counterfactuals in sequence space","authors":"James Hebden, Fabian Winkler","doi":"10.1016/j.jedc.2025.105228","DOIUrl":"10.1016/j.jedc.2025.105228","url":null,"abstract":"<div><div>We propose an efficient procedure to solve for policy counterfactuals in sequence space. Forecasts of the variables relevant for the policy problem, and their impulse responses to anticipated policy shocks, constitute sufficient information to construct valid counterfactuals. Knowledge of the structural model equations or filtering of structural shocks is not required. The underlying model has to be linear but occasionally binding constraints are allowed under quasi-perfect foresight. We solve for deterministic and stochastic paths under instrument rules as well as under optimal policy with commitment or subgame-perfect discretion. As an application, we compute counterfactuals of the U.S. economy after the pandemic shock of 2020 under several monetary policy regimes.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"182 ","pages":"Article 105228"},"PeriodicalIF":2.3,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-25DOI: 10.1016/j.jedc.2025.105222
Christopher Gust , Edward Herbst , David López-Salido
Under finite horizon planning, households and firms evaluate a full set of state-contingent paths along which the economy might evolve out to a finite horizon but have limited ability to process events beyond that horizon. We show–analytically and empirically–that such a model accounts for an initial underreaction and subsequent overreaction of inflation forecasts. A planning horizon of four quarters can account for the evidence on the predictability of inflation forecast errors and macroeconomic data. Our identification and estimation strategies combine full-information methods based on aggregate data with regression-based estimates that directly use inflation expectations data.
{"title":"Inflation expectations with finite horizon planning","authors":"Christopher Gust , Edward Herbst , David López-Salido","doi":"10.1016/j.jedc.2025.105222","DOIUrl":"10.1016/j.jedc.2025.105222","url":null,"abstract":"<div><div>Under finite horizon planning, households and firms evaluate a full set of state-contingent paths along which the economy might evolve out to a finite horizon but have limited ability to process events beyond that horizon. We show–analytically and empirically–that such a model accounts for an initial underreaction and subsequent overreaction of inflation forecasts. A planning horizon of four quarters can account for the evidence on the predictability of inflation forecast errors and macroeconomic data. Our identification and estimation strategies combine full-information methods based on aggregate data with regression-based estimates that directly use inflation expectations data.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"182 ","pages":"Article 105222"},"PeriodicalIF":2.3,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-24DOI: 10.1016/j.jedc.2025.105224
Beatrice Cherrier , Aurélien Saïdi , Francesco Sergi
In this article, we document Michel Juillard’s contribution to macroeconomics. Best known as the creator of the computer package Dynare, Juillard’s impact extends far beyond software development. We trace his training and career from his first encounter with computers in high school through his ongoing work on Dynare. His contribution to macroeconomics, we argue, is threefold: intellectual (devising algorithms and addressing specific computational problems for a class of models), technical (writing code and developing a computer package), and institutional (establishing and maintaining the governance structures that ensure Dynare’s sustainability as a digital commons). Juillard’s career highlights broader questions about adapting Ostrom’s framework to digital commons development, the principles that govern software development, and the place computational economics should occupy in the history of macroeconomics.
{"title":"“Write your model almost as you would on paper and Michel will take care of the rest!” Michel Juillard’s contribution to macroeconomics in historical perspective","authors":"Beatrice Cherrier , Aurélien Saïdi , Francesco Sergi","doi":"10.1016/j.jedc.2025.105224","DOIUrl":"10.1016/j.jedc.2025.105224","url":null,"abstract":"<div><div>In this article, we document Michel Juillard’s contribution to macroeconomics. Best known as the creator of the computer package Dynare, Juillard’s impact extends far beyond software development. We trace his training and career from his first encounter with computers in high school through his ongoing work on Dynare. His contribution to macroeconomics, we argue, is threefold: intellectual (devising algorithms and addressing specific computational problems for a class of models), technical (writing code and developing a computer package), and institutional (establishing and maintaining the governance structures that ensure Dynare’s sustainability as a digital commons). Juillard’s career highlights broader questions about adapting Ostrom’s framework to digital commons development, the principles that govern software development, and the place computational economics should occupy in the history of macroeconomics.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"182 ","pages":"Article 105224"},"PeriodicalIF":2.3,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-15DOI: 10.1016/j.jedc.2025.105207
Thomas Conlon , John Cotter , Ioannis Ropotos
The paper studies the determinants of firm-level tail dependence of companies with respect to foreign markets using machine learning. We measure dependence for a comprehensive international set of firms using copulas and we find that left tail dependence is consistently stronger than right tail dependence with their gap widening in recessionary periods. We then apply random forest regressions to identify and characterize the factors that account for the total panel variation of tail risk. The World Uncertainty Index, the R2 integration measure and coskewness with respect to foreign markets are the most important determinants. For US firms individual ownership variables such as the number of total or foreign investors dominate the remaining firm-level characteristics in explaining tail dependence. Our results contribute to the understanding of crash risk in the modern global financial landscape with implications for asset managers.
{"title":"Drivers of firm-level tail dependence: A machine learning approach","authors":"Thomas Conlon , John Cotter , Ioannis Ropotos","doi":"10.1016/j.jedc.2025.105207","DOIUrl":"10.1016/j.jedc.2025.105207","url":null,"abstract":"<div><div>The paper studies the determinants of firm-level tail dependence of companies with respect to foreign markets using machine learning. We measure dependence for a comprehensive international set of firms using copulas and we find that left tail dependence is consistently stronger than right tail dependence with their gap widening in recessionary periods. We then apply random forest regressions to identify and characterize the factors that account for the total panel variation of tail risk. The World Uncertainty Index, the R2 integration measure and coskewness with respect to foreign markets are the most important determinants. For US firms individual ownership variables such as the number of total or foreign investors dominate the remaining firm-level characteristics in explaining tail dependence. Our results contribute to the understanding of crash risk in the modern global financial landscape with implications for asset managers.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"182 ","pages":"Article 105207"},"PeriodicalIF":2.3,"publicationDate":"2025-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-13DOI: 10.1016/j.jedc.2025.105216
Jaevin Park
I study the efficiency of issuing inside money under the risk of fraud in a competitive equilibrium. In the model, bankers can issue money with their franchise values and/or by holding real assets, but they can also fake the quality of the asset at a proportional cost. When the supply of assets is scarce and the counterfeiting cost is intermediate, multiple equilibria can arise with a self-fulfilling liquidity dry-up, where the haircut in the collateral transaction increases and aggregate liquidity shrinks simultaneously. This equilibrium allocation is suboptimal because the individual bankers cannot internalize the effect of issuing money on the prices and the pledgeability of the assets in general equilibrium. We find that imposing an entry cost is more effective in correcting pecuniary externality because the counterfeiting incentive can be discouraged by a positive franchise value. Maximum haircut requirements have an advantage of eliminating a self-fulfilling liquidity dry-up.
{"title":"Inside money, fraud and self-fulfilling liquidity dry-up","authors":"Jaevin Park","doi":"10.1016/j.jedc.2025.105216","DOIUrl":"10.1016/j.jedc.2025.105216","url":null,"abstract":"<div><div>I study the efficiency of issuing inside money under the risk of fraud in a competitive equilibrium. In the model, bankers can issue money with their franchise values and/or by holding real assets, but they can also fake the quality of the asset at a proportional cost. When the supply of assets is scarce and the counterfeiting cost is intermediate, multiple equilibria can arise with a self-fulfilling liquidity dry-up, where the haircut in the collateral transaction increases and aggregate liquidity shrinks simultaneously. This equilibrium allocation is suboptimal because the individual bankers cannot internalize the effect of issuing money on the prices and the pledgeability of the assets in general equilibrium. We find that imposing an entry cost is more effective in correcting pecuniary externality because the counterfeiting incentive can be discouraged by a positive franchise value. Maximum haircut requirements have an advantage of eliminating a self-fulfilling liquidity dry-up.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"181 ","pages":"Article 105216"},"PeriodicalIF":2.3,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-04DOI: 10.1016/j.jedc.2025.105203
Xinrui Duan , Li Guo , Frank Weikai Li , Jun Tu
We demonstrate that valuation uncertainty and information arrival are critical stock characteristics determining whether individual factors in leading factor models are influenced by sentiment or limited attention. Therefore, the ability of a factor model to explain cross-sectional stock returns depends on including two distinct types of factors: those that capture sentiment and those that tackle limited attention. Yet, many leading factor models include factors for sentiment but fall short in incorporating factors for limited attention. Our findings are important, guiding future research towards developing new factor models that more effectively capture both sentiment and limited attention compared to existing models. This includes uncovering powerful factors capable of simultaneously capturing sentiment and limited attention.
{"title":"Do factor models capture both sentiment and limited attention?","authors":"Xinrui Duan , Li Guo , Frank Weikai Li , Jun Tu","doi":"10.1016/j.jedc.2025.105203","DOIUrl":"10.1016/j.jedc.2025.105203","url":null,"abstract":"<div><div>We demonstrate that valuation uncertainty and information arrival are critical stock characteristics determining whether individual factors in leading factor models are influenced by sentiment or limited attention. Therefore, the ability of a factor model to explain cross-sectional stock returns depends on including two distinct types of factors: those that capture sentiment and those that tackle limited attention. Yet, many leading factor models include factors for sentiment but fall short in incorporating factors for limited attention. Our findings are important, guiding future research towards developing new factor models that more effectively capture both sentiment and limited attention compared to existing models. This includes uncovering powerful factors capable of simultaneously capturing sentiment and limited attention.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"181 ","pages":"Article 105203"},"PeriodicalIF":2.3,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-03DOI: 10.1016/j.jedc.2025.105205
Miroslav Gabrovski , Mario Rafael Silva
The Diamond-Mortensen-Pissarides model has been the primary workhorse for analyzing the dynamics of unemployment, vacancies, and market tightness over the business cycle. However, it predicts a near-perfect comovement between these variables and labor productivity, whereas the empirical correlation is only mild. We resolve this discrepancy by extending the model to incorporate sunk entry costs and finitely elastic vacancy creation, and by carefully distinguishing between business opportunity destruction and match separation as distinct sources of job loss. These features render vacancies a partially predetermined, positively valued stock variable. If the destruction rate is low, then most vacancies are inherited from the past and reflect historical rather than current productivity, breaking the tight unemployment-productivity link, while preserving strong correlations among labor market variables. We show that, when calibrated to information on job turnover and recall rates, the model reproduces the empirical contemporaneous and dynamic correlations between labor market variables and productivity while preserving the strong correlation between unemployment, vacancies, and the market tightness observed in the data.
{"title":"Unemployment and labor productivity comovement: the role of firm exit","authors":"Miroslav Gabrovski , Mario Rafael Silva","doi":"10.1016/j.jedc.2025.105205","DOIUrl":"10.1016/j.jedc.2025.105205","url":null,"abstract":"<div><div>The Diamond-Mortensen-Pissarides model has been the primary workhorse for analyzing the dynamics of unemployment, vacancies, and market tightness over the business cycle. However, it predicts a near-perfect comovement between these variables and labor productivity, whereas the empirical correlation is only mild. We resolve this discrepancy by extending the model to incorporate sunk entry costs and finitely elastic vacancy creation, and by carefully distinguishing between business opportunity destruction and match separation as distinct sources of job loss. These features render vacancies a partially predetermined, positively valued stock variable. If the destruction rate is low, then most vacancies are inherited from the past and reflect historical rather than current productivity, breaking the tight unemployment-productivity link, while preserving strong correlations among labor market variables. We show that, when calibrated to information on job turnover and recall rates, the model reproduces the empirical contemporaneous and dynamic correlations between labor market variables and productivity while preserving the strong correlation between unemployment, vacancies, and the market tightness observed in the data.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"181 ","pages":"Article 105205"},"PeriodicalIF":2.3,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.jedc.2025.105199
Junhong Yu , Xinfeng Ruan , Zheqi Fan
Motivated by the widespread use of implied volatility in the Black-Scholes-Merton (BSM) model, we shift the concept to implied jumps using the Merton jump-diffusion (MJD) model, aiming to extract jump-related information in an analogous manner. Such a novel attempt introduces challenges in the estimation process, and thus, we propose a hybrid estimation procedure that incorporates a pre-search step to identify reliable initial values for the model parameters, thereby enhancing estimation accuracy. Using the daily cross-section of option prices, we construct two new indices: the Implied Jump Expectation Index (JIX) and the Jump Volatility Index (JVIX) to represent implied jump. Our empirical results indicate the implied jump combined with the implied diffusive risk under the MJD model significantly provides incremental predictive power for shortly future realized volatility compared with VIX9D and the historical components of HAR models. Also, we document that JIX has significantly predictive power for the next-day market return even under the market extreme events or high economic uncertainty.
{"title":"Merton (1976) implied jump","authors":"Junhong Yu , Xinfeng Ruan , Zheqi Fan","doi":"10.1016/j.jedc.2025.105199","DOIUrl":"10.1016/j.jedc.2025.105199","url":null,"abstract":"<div><div>Motivated by the widespread use of implied volatility in the Black-Scholes-Merton (BSM) model, we shift the concept to implied jumps using the Merton jump-diffusion (MJD) model, aiming to extract jump-related information in an analogous manner. Such a novel attempt introduces challenges in the estimation process, and thus, we propose a hybrid estimation procedure that incorporates a pre-search step to identify reliable initial values for the model parameters, thereby enhancing estimation accuracy. Using the daily cross-section of option prices, we construct two new indices: the Implied Jump Expectation Index (JIX) and the Jump Volatility Index (JVIX) to represent implied jump. Our empirical results indicate the implied jump combined with the implied diffusive risk under the MJD model significantly provides incremental predictive power for shortly future realized volatility compared with VIX9D and the historical components of HAR models. Also, we document that JIX has significantly predictive power for the next-day market return even under the market extreme events or high economic uncertainty.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"180 ","pages":"Article 105199"},"PeriodicalIF":2.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.jedc.2025.105201
Giovanni Barci
I study the dynamic causal relationship between monetary policy and macroeconomic downside risk, focusing on structural asymmetries in recessions and expansions. I find that a monetary easing during economic slowdowns reduces downside risk by about twice as much as a monetary tightening during booms increases it. If this asymmetry is not properly accounted for, it could lead to an overly cautious behaviour by policymakers when tightening during booms; the conclusion also holds when considering monetary contractions occurring during highly-leveraged expansions. Results align with theoretical models that include a financial accelerator mechanism. I obtain evidence by building downside risk indicators as linear combinations of relevant quantiles of the conditional forecast density of output growth. Generalised state-dependent impulse response functions to structural shocks of quantiles linear combinations are recovered using a novel econometric framework that mixes structural VAR and quantile regressions, both adapted to accommodate smooth-transition parameters.
{"title":"The effects of monetary policy on macroeconomic downside risk: state-dependence matters","authors":"Giovanni Barci","doi":"10.1016/j.jedc.2025.105201","DOIUrl":"10.1016/j.jedc.2025.105201","url":null,"abstract":"<div><div>I study the dynamic causal relationship between monetary policy and macroeconomic downside risk, focusing on structural asymmetries in recessions and expansions. I find that a monetary easing during economic slowdowns reduces downside risk by about twice as much as a monetary tightening during booms increases it. If this asymmetry is not properly accounted for, it could lead to an overly cautious behaviour by policymakers when tightening during booms; the conclusion also holds when considering monetary contractions occurring during highly-leveraged expansions. Results align with theoretical models that include a financial accelerator mechanism. I obtain evidence by building downside risk indicators as linear combinations of relevant quantiles of the conditional forecast density of output growth. Generalised state-dependent impulse response functions to structural shocks of quantiles linear combinations are recovered using a novel econometric framework that mixes structural VAR and quantile regressions, both adapted to accommodate smooth-transition parameters.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"180 ","pages":"Article 105201"},"PeriodicalIF":2.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}