Quantitative Economics (@qe_editors) 's Twitter Profile
Quantitative Economics

@qe_editors

News from the editors of Quantitative Economics

ID: 1412589142609911811

linkhttps://qeconomics.org/ojs/index.php/qe calendar_today07-07-2021 01:49:25

182 Tweet

12,12K Followers

3 Following

Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We develop an indirect inference approach to test the speculative storage model, integrating supply response and several structural shocks. Using grain market data, our results highlight storage's role in price dynamics and resolve key empirical puzzles. econometricsociety.org/publications/q…

We develop an indirect inference approach to test the speculative storage model, integrating supply response and several structural shocks. Using grain market data, our results highlight storage's role in price dynamics and resolve key empirical puzzles. econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

When the central bank lowers the policy rate, not only mortgage choices but also housing choices amplify the aggregate demand response. Using a quantitative model, I find that updated housing choices contribute to 10 % of the increase in aggregate spending econometricsociety.org/publications/q…

When the central bank lowers the policy rate, not only mortgage choices but also housing choices amplify the aggregate demand response. Using a quantitative model, I find that updated housing choices contribute to 10 % of the increase in aggregate spending econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

New research: AR(1) models w/ time-varying parameters enable smooth transitions between stationary & nonstationary periods. Local least squares regression provides robust estimation & proper confidence intervals across both cases. econometricsociety.org/publications/q…

New research: AR(1) models w/ time-varying parameters enable smooth transitions between stationary & nonstationary periods. Local least squares regression provides robust estimation & proper confidence intervals across both cases. econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

High-frequency time series can lead to spurious regressions & inflated Wald stats when sampling interval → 0. But there's hope! Robust Wald test with appropriate long-run variance estimates prevents false positives, validated w/interest rate data econometricsociety.org/publications/q…

High-frequency time series can lead to spurious regressions & inflated Wald stats when sampling interval → 0. But there's hope! Robust Wald test with appropriate long-run variance estimates prevents false positives, validated w/interest rate data econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

A market so nifty where matchings do grow, stability wins — 88% so! Subjects play smart, strategies unfold, & median matchings overwhelmingly take hold. Echenique, Alejandro RC & Leeat Yariv show us this trick: stability reigns when the players are slick! econometricsociety.org/publications/q…

A market so nifty where matchings do grow, stability wins — 88% so! Subjects play smart, strategies unfold, &amp; median matchings overwhelmingly take hold. Echenique, <a href="/ARobinsonCortes/">Alejandro RC</a> &amp; <a href="/lyariv/">Leeat Yariv</a> show us this trick: stability reigns when the players are slick! econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We model interest rates as censored observations of a latent shadow rate in VARs, estimated via efficient Bayesian methods. Our shadow-rate VARs yield superior interest rate forecasts and competitive macroeconomic forecasts. econometricsociety.org/publications/q…

We model interest rates as censored observations of a latent shadow rate in VARs, estimated via efficient Bayesian methods. Our shadow-rate VARs yield superior interest rate forecasts and competitive macroeconomic forecasts. econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

Using a life-cycle model, we examine the contributions of taxes and transfer programs to mitigating lifetime income inequalities. Linking annual taxes to prior employment could strengthen insurance effects, with tradeoffs in employment and overall welfare. econometricsociety.org/publications/q…

Using a life-cycle model, we examine the contributions of taxes and transfer programs to mitigating lifetime income inequalities. Linking annual taxes to prior employment could strengthen insurance effects, with tradeoffs in employment and overall welfare. econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We assess heterogeneity in workers’ expected earnings growth rates (HIP) via an adapted measure of the variance of persistent earnings shocks. While results are mixed, those supporting HIP are fragile and small in comparison to estimated earnings risk. econometricsociety.org/publications/q…

We assess heterogeneity in workers’ expected earnings growth rates (HIP) via an adapted measure of the variance of persistent earnings shocks. While results are mixed, those supporting HIP are fragile and small in comparison to estimated earnings risk. econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We assess the cost-effectiveness of genotype-based smoking cessation. A lifecycle model shows it outperforms standard policies, generating $29–$40 per dollar spent—16–22% more than non-personalized approaches for smokers treated at 37 or 52. econometricsociety.org/publications/q…

We assess the cost-effectiveness of genotype-based smoking cessation. A lifecycle model shows it outperforms standard policies, generating $29–$40 per dollar spent—16–22% more than non-personalized approaches for smokers treated at 37 or 52. econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We show weak exogeneity can bias OLS in time series with many controls, making it inconsistent. Bias grows with regressors and autocorrelation. We propose a correction method, yielding a consistent, asymptotically Gaussian estimator. econometricsociety.org/publications/q…

We show weak exogeneity can bias OLS in time series with many controls, making it inconsistent. Bias grows with regressors and autocorrelation. We propose a correction method, yielding a consistent, asymptotically Gaussian estimator. econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

The 2025 Best Paper Prize has been awarded to Amit Gandhi, Zhentong Lu, and Xiaoxia Shi for their paper “Estimating Demand for Differentiated Products with Zeroes in Market Share Data” econometricsociety.org/prizes/qe-te-b… Congratulations to the authors!

Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We propose methods to estimate optimal dynamic treatment rules under policy constraints. We clarify the trade-off between backward induction and simultaneous optimization. The methods achieve optimal regret rate and accommodate intertemporal constraints. econometricsociety.org/publications/q…

We propose methods to estimate optimal dynamic treatment rules under policy constraints. We clarify the trade-off between backward induction and simultaneous optimization. The methods achieve optimal regret rate and accommodate intertemporal constraints. econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We develop a framework to study segregation dynamics that brings Schelling's key insights to models of residential choice. We also introduce novel IVs to identify causal effects of neighborhood demographics that can be easily constructed with panel data. econometricsociety.org/publications/q…

We develop a framework to study segregation dynamics that brings Schelling's key insights to models of residential choice. We also introduce novel IVs to identify causal effects of neighborhood demographics that can be easily constructed with panel data. econometricsociety.org/publications/q…
Quantitative Economics (@qe_editors) 's Twitter Profile Photo

On June 30, 2025 Stéphane Bonhomme stepped down as Editor of Quantitative Economics. Stéphane did a fantastic job as an editor; the editorial board and the Econometric Society leadership express their warmest thanks to him.

Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We are thrilled to have Bernard Salanié (Columbia University) take over as Editor starting July 1st, 2025. He will be handling papers in a wide range of topics, from applied theory to econometrics.

Quantitative Economics (@qe_editors) 's Twitter Profile Photo

On June 30, 2025 Garance Genicot and Morten Ravn stepped down as Co-editors of Quantitative Economics. We are very grateful to them for their contributions; the journal has greatly benefited from their insight and energy.

Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We are thrilled to have Anna Mikusheva (MIT) & Fabrizio Perri (Federal Reserve Bank of Minnesota) join the board as Co-editors starting July 1st, 2025. While their focus will be respectively on econometrics & macroeconomics they will be handling papers in a wide range of topics

Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We are excited to announce the following new AEs joined the board on July 1st: Esteban M. Aucejo (ASU), Job Boerma (University of Wisconsin-Madison), Liangjun Su (Tsinghua University) & Chamna Yoon (Seoul National University). We look forward to benefiting from their expertise.

Quantitative Economics (@qe_editors) 's Twitter Profile Photo

We propose a test for mean stationarity in latent volatility curves using high-frequency data. Applied to S&P 500 futures, results show strong evidence of nonstationary volatility—key for real-time risk, jump detection & market activity metrics. econometricsociety.org/publications/q…

We propose a test for mean stationarity in latent volatility curves using high-frequency data. Applied to S&amp;P 500 futures, results show strong evidence of nonstationary volatility—key for real-time risk, jump detection &amp; market activity metrics. econometricsociety.org/publications/q…