Showing posts with label Forecasting Forum. Show all posts
Saturday, November 30, 2024
From a paper by Oguzhan Cepni, Abdullah Kazdal, Muhammed Enes Olgun, and Muhammed Hasan Yilmaz:
“This paper investigates whether inflation forecasting in emerging economies can be improved with the inclusion of a global inflation component. Focusing on the headline inflation rate of Türkiye, we implement a forecasting exercise using a large dataset describing domestic macroeconomic as well as global inflation dynamics. Our factor-augmented predictive regression results show that incorporating global inflation factors derived from other emerging markets’ inflation rates enhances forecasting accuracy of the local headline inflation rate. The results are robust to using alternative dimension-reduction methods, including the elastic net technique. Our findings contribute to the current methodological toolkit available to policymakers for predicting inflation in an emerging market context.”
From a paper by Oguzhan Cepni, Abdullah Kazdal, Muhammed Enes Olgun, and Muhammed Hasan Yilmaz:
“This paper investigates whether inflation forecasting in emerging economies can be improved with the inclusion of a global inflation component. Focusing on the headline inflation rate of Türkiye, we implement a forecasting exercise using a large dataset describing domestic macroeconomic as well as global inflation dynamics. Our factor-augmented predictive regression results show that incorporating global inflation factors derived from other emerging markets’
Posted by 4:42 PM
atLabels: Forecasting Forum
Wednesday, November 27, 2024
From a paper by James Mitchell, Taylor Shiroff, and Hana Braitsch:
“This paper shows how both the characteristics and the accuracy of the point and density forecasts from a well-known panel data survey of households’ inflationary expectations – the New York Fed’s Survey of Consumer Expectations – depend on the tenure of survey respondents. Households’ point and density forecasts of inflation become significantly more accurate with repeated practice of completing the survey. These learning gains are best identified when tenure-based combination forecasts are constructed. Tenured households on average produce lower point forecasts of inflation, perceive less forecast uncertainty, round their uncertainty but not their point forecasts, report unimodal densities, and provide internally consistent point and density forecasts.”
From a paper by James Mitchell, Taylor Shiroff, and Hana Braitsch:
“This paper shows how both the characteristics and the accuracy of the point and density forecasts from a well-known panel data survey of households’ inflationary expectations – the New York Fed’s Survey of Consumer Expectations – depend on the tenure of survey respondents. Households’ point and density forecasts of inflation become significantly more accurate with repeated practice of completing the survey.
Posted by 12:53 PM
atLabels: Forecasting Forum
Posted by 12:51 PM
atLabels: Forecasting Forum
Monday, November 11, 2024
From a paper by Luciano Vereda, Helder Ferreira de Mendonça, and George Morcerf:
“Our study advances the modelling of forecast revisions by accounting for the nuanced impact of informational shocks across different time horizons. Specifically, we introduce modifications to the error structure of regression models used to detect biases in macroeconomic forecasts. Drawing on consensus forecasts of inflation and output growth from the central banks of Brazil, Chile, and Mexico, our approach offers a nuanced understanding of bias estimation uncertainty, leading to a more robust rejection of the null hypothesis of no biases. By elucidating the differential effects of informational shocks on forecast accuracy across time periods, our findings not only contribute to the refinement of forecasting methodologies but also have implications for policymakers and economic analysts striving for more accurate and reliable predictions in dynamic economic environments.”
From a paper by Luciano Vereda, Helder Ferreira de Mendonça, and George Morcerf:
“Our study advances the modelling of forecast revisions by accounting for the nuanced impact of informational shocks across different time horizons. Specifically, we introduce modifications to the error structure of regression models used to detect biases in macroeconomic forecasts. Drawing on consensus forecasts of inflation and output growth from the central banks of Brazil, Chile, and Mexico, our approach offers a nuanced understanding of bias estimation uncertainty,
Posted by 1:54 PM
atLabels: Forecasting Forum
Sunday, April 24, 2022
From Mark Perry (AEI):
“Tomorrow is Earth Day 2022 and marks the 52nd anniversary of Earth Day, so it’s time for my annual CD post on the spectacularly wrong predictions that were made around the time of the first Earth Day in 1970…..
In the May 2000 issue of Reason Magazine, award-winning science correspondent Ronald Bailey wrote an excellent article titled “Earth Day, Then and Now: The planet’s future has never looked better. Here’s why” to provide some historical perspective on the 30th anniversary of Earth Day. In that article, Bailey noted that around the time of the first Earth Day in 1970, and in the years following, there was a “torrent of apocalyptic predictions” and many of those predictions were featured in his Reason article. Well, it’s now the 51st anniversary of Earth Day, and a good time to ask the question again that Bailey asked 21 years ago: How accurate were the predictions made around the time of the first Earth Day in 1970? The answer: “The prophets of doom were not simply wrong, but spectacularly wrong,” according to Bailey. Here are 18 examples of the spectacularly wrong predictions made around 1970 when the “green holy day” (aka Earth Day) started:
1. Harvard biologist George Wald estimated that “civilization will end within 15 or 30 years [by 1985 or 2000] unless immediate action is taken against problems facing mankind.”
2. “We are in an environmental crisis that threatens the survival of this nation, and of the world as a suitable place of human habitation,” wrote Washington University biologist Barry Commoner in the Earth Day issue of the scholarly journal Environment.
3. The day after the first Earth Day, the New York Times editorial page warned, “Man must stop pollution and conserve his resources, not merely to enhance existence but to save the race from intolerable deterioration and possible extinction.”
4. “Population will inevitably and completely outstrip whatever small increases in food supplies we make,” Paul Ehrlich confidently declared in the April 1970 issue of Mademoiselle. “The death rate will increase until at least 100-200 million people per year will be starving to death during the next ten years [by 1980].”
5. “Most of the people who are going to die in the greatest cataclysm in the history of man have already been born,” wrote Paul Ehrlich in a 1969 essay titled “Eco-Catastrophe! “By…[1975] some experts feel that food shortages will have escalated the present level of world hunger and starvation into famines of unbelievable proportions. Other experts, more optimistic, think the ultimate food-population collision will not occur until the decade of the 1980s.”
Continue reading here.
From Mark Perry (AEI):
“Tomorrow is Earth Day 2022 and marks the 52nd anniversary of Earth Day, so it’s time for my annual CD post on the spectacularly wrong predictions that were made around the time of the first Earth Day in 1970…..
In the May 2000 issue of Reason Magazine, award-winning science correspondent Ronald Bailey wrote an excellent article titled “Earth Day,
Posted by 7:56 AM
atLabels: Energy & Climate Change, Forecasting Forum
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