{"title":"Gains from trade: Demand, supply, and idiosyncratic shocks","authors":"Ruben Dewitte, Bruno Merlevede, Glenn Rayp","doi":"10.1002/jae.3051","DOIUrl":"10.1002/jae.3051","url":null,"abstract":"<div>\u0000 \u0000 <p>Firm-level sales are often used as a proxy for productivity to quantify welfare gains from trade (GFT) using firm-level data. This approach ignores the fact that heterogeneity in firm-level sales is driven by factors other than productivity. Our theoretical and empirical analysis reveals that using sales as a proxy conflates persistent productivity with transitory demand and supply shocks, resulting in an over-dispersed productivity distribution. Assigning this shock-inflated productivity to a modeled economy's supply-side results in overestimated GFT. We show how to obtain unbiased productivity estimates, aggregate trade elasticities, and GFT estimates by exploiting the revenue production function from a single-source country.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140828213","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}
{"title":"Tests for equal forecast accuracy under heteroskedasticity","authors":"David I. Harvey, Stephen J. Leybourne, Yang Zu","doi":"10.1002/jae.3050","DOIUrl":"10.1002/jae.3050","url":null,"abstract":"<div>\u0000 \u0000 <p>Heteroskedasticity is a common feature in empirical time series analysis, and in this paper, we consider the effects of heteroskedasticity on statistical tests for equal forecast accuracy. In such a context, we propose two new Diebold–Mariano-type tests for equal accuracy that employ nonparametric estimation of the loss differential variance function. We demonstrate that these tests have the potential to achieve power improvements relative to the original Diebold–Mariano test in the presence of heteroskedasticity, for a quite general class of loss differential series. The size validity and potential power superiority of our new tests are studied theoretically and in Monte Carlo simulations. We apply our new tests to competing forecasts of changes in the dollar/sterling exchange rate and find the new tests provide greater evidence of differences in forecast accuracy than the original Diebold–Mariano test, illustrating the value of these new procedures for practitioners.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676748","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}
{"title":"Scaling and measurement error sensitivity of scoring rules for distribution forecasts","authors":"Onno Kleen","doi":"10.1002/jae.3056","DOIUrl":"10.1002/jae.3056","url":null,"abstract":"<p>This paper examines the impact of data rescaling and measurement error on scoring rules for distribution forecast. First, I show that all commonly used scoring rules for distribution forecasts are robust to rescaling the data. Second, the forecast ranking based on the continuous ranked probability score is less sensitive to gross measurement error than the ranking based on the log score. The theoretical results are complemented by a simulation study aligned with frequently revised quarterly US gross domestic product (GDP) growth data, a simulation study aligned with financial market volatility, and an empirical application forecasting realized variances of S&P 100 constituents.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140623852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Danilo Leiva-León, Gabriel Perez Quiros, Eyno Rots
{"title":"Real-time weakness of the global economy","authors":"Danilo Leiva-León, Gabriel Perez Quiros, Eyno Rots","doi":"10.1002/jae.3054","DOIUrl":"10.1002/jae.3054","url":null,"abstract":"<div>\u0000 \u0000 <p>We propose an empirical framework to measure the real-time weakness of the global economy. This framework relies on nonlinear factor models to identify recessionary and expansionary episodes, fitted to several macroeconomic variables, for the largest advanced and emerging economies. The country-specific inferences are then combined to construct both a Global Weakness Index and a Global Intensity Index. As new economic data become available from different regions, this information is continually updated to provide high-frequency, real-time insights into (i) the strength of the global economy, (ii) the economic regions supporting this strength, (iii) country-specific and global risk assessments, and (iv) the intensity of recessionary and expansionary episodes.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140623846","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}
{"title":"Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics","authors":"James Mitchell, Aubrey Poon, Dan Zhu","doi":"10.1002/jae.3049","DOIUrl":"10.1002/jae.3049","url":null,"abstract":"<p>Quantile regression methods are increasingly used to forecast tail risks and uncertainties in macroeconomic outcomes. This paper reconsiders how to construct predictive densities from quantile regressions. We compare a popular two-step approach that fits a specific parametric density to the quantile forecasts with a nonparametric alternative that lets the “data speak.” Simulation evidence and an application revisiting GDP growth uncertainties in the United States demonstrate the flexibility of the nonparametric approach when constructing density forecasts from both frequentist and Bayesian quantile regressions. They identify its ability to unmask deviations from symmetrical and unimodal densities. The dominant macroeconomic narrative becomes one of the evolution, over the business cycle, of multimodalities rather than asymmetries in the predictive distribution of GDP growth when conditioned on financial conditions.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140623848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The heterogeneous role of party affiliation in the runner-up effect","authors":"Umair Khalil, Mandar Oak, Sundar Ponnusamy","doi":"10.1002/jae.3055","DOIUrl":"10.1002/jae.3055","url":null,"abstract":"<div>\u0000 \u0000 <p>A recent finding establishes that second-place candidates perform substantially better over third-place candidates in future electoral races. We show that this estimated effect masks substantial heterogeneity with respect to the party affiliation of the candidates. Only runner-ups without a major party backing in election \u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>t</mi>\u0000 </mrow>\u0000 <annotation>$$ t $$</annotation>\u0000 </semantics></math> have significant prospects over the third-place candidates in election \u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>t</mi>\u0000 <mo>+</mo>\u0000 <mn>1</mn>\u0000 </mrow>\u0000 <annotation>$$ t&amp;amp;#x0002B;1 $$</annotation>\u0000 </semantics></math>, in terms of either recontesting or winning. Our finding suggests that political parties and voters, while strategically coordinating on the runner-ups in election \u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>t</mi>\u0000 <mo>+</mo>\u0000 <mn>1</mn>\u0000 </mrow>\u0000 <annotation>$$ t&amp;amp;#x0002B;1 $$</annotation>\u0000 </semantics></math>, also take into account the party backing as a potential signal of their intrinsic quality.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140582570","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}
{"title":"Corporate debt booms, financial constraints, and the investment nexus","authors":"Bruno Albuquerque","doi":"10.1002/jae.3047","DOIUrl":"10.1002/jae.3047","url":null,"abstract":"<p>How do corporate debt booms affect investment? Using US firm-level data over 1984Q1–2019Q4, and an instrument for firm-specific debt booms that exploits systematic differences in firms' exposure to industry-level debt booms, I find that debt booms cause investment growth to decline over the medium term. This result is driven by the financial constraints channel: Vulnerable firms experience a higher cost of debt in the short run, lower stock returns, and an increase in indicators proxying financial risk. Vulnerable firms also cut their investment spending after a debt boom, irrespective of their growth opportunities. Finally, I find that congestion effects from vulnerable firms on healthy firms are amplified during debt booms, stressing the risk that debt booms in a subset of firms may spill over to the rest of the economy.</p>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jae.3047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140582418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How does monetary policy affect income and wealth inequality? Evidence from quantitative easing in the euro area","authors":"Michele Lenza, Jiri Slacalek","doi":"10.1002/jae.3053","DOIUrl":"10.1002/jae.3053","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper evaluates the impact of quantitative easing on income and wealth of individual euro area households. We first estimate the aggregate effects of a quantitative easing (QE) shock, identified by means of external instruments, in a multi-country vector autoregression (VAR) model with unemployment, wages, gross operating surplus, interest rates, house prices, and stock prices. We then distribute the aggregate effects across households using a reduced-form simulation on micro-data, which captures the portfolio composition, the income composition, and the earnings heterogeneity channels of transmission. The earnings heterogeneity channel is important: QE compresses the income distribution because many households with lower incomes become employed. In contrast, monetary policy has only negligible effects on the Gini coefficient for wealth: While high-wealth households benefit from higher stock prices, middle-wealth households benefit from higher house prices.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140582420","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}
{"title":"Revisiting the effects of conventional and unconventional monetary policies","authors":"Eul Noh","doi":"10.1002/jae.3052","DOIUrl":"10.1002/jae.3052","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper extends the discussion on the effects of the two distinctive monetary surprises in the literature. First, we show that the proxy of conventional monetary shock Granger causes the endogenous variables in the vector autoregressive model. Second, we provide evidence that the existing model can be exposed to a weak instrument problem. With our alternative model mitigating these concerns, the second monetary shock can be interpreted as unconventional monetary news in general. The estimation results show contractionary effect of the unconventional policy. We find increases in output after a positive conventional monetary surprise, suggesting an important Fed's information effect.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140582566","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}
{"title":"Identification and forecasting of bull and bear markets using multivariate returns","authors":"Jia Liu, John M. Maheu, Yong Song","doi":"10.1002/jae.3048","DOIUrl":"10.1002/jae.3048","url":null,"abstract":"<div>\u0000 \u0000 <p>Bull and bear market identification generally focuses on a broad index of returns through a univariate analysis. This paper proposes a new approach to identify and forecast bull and bear markets through multivariate returns. The model assumes that all assets are directed by a common discrete state variable from a hierarchical Markov switching model. The hierarchical specification allows the cross-section of state-specific means and variances to differ over bull and bear markets. We investigate several empirically realistic specifications that permit feasible estimation even with 100 assets. Our results show that the multivariate framework provides competitive bull and bear regime identification and improves portfolio performance and density prediction compared with several benchmark models including univariate Markov switching models.</p>\u0000 </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140582395","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}