Similar Search Results

Alavian, Shahram - 2012

Usage of Monte Carlo simulation for pricing requires a well defined and accurate market implied distribution of risk factors. Overlay, on top of these simulated risk factors, one can also generate conditional prices based on the set of underlying risk factors at future time horizons. The ability...

Persistent link: https://www.econbiz.de/10013114643

Publication bias under aggregation frictions : theory, evidence, and a new correction method

Furukawa, Chishio - 2019

This paper questions the conventional wisdom that publication bias must result from the biased preferences of researchers. When readers only compare the number of positive and negative results of papers to make their decisions, even unbiased researchers will omit noisy null results and inflate...

Persistent link: https://www.econbiz.de/10012126742

Meta-analysis and publication bias : how well does the FAT-PET-PEESE procedure work? : a replication study of Alinaghi & Reed (Research Synthesis Methods, 2018)

Hong, Sanghyun - In: International Journal for Re-Views in Empirical … 3 (2019) 4, pp. 1-22

A meta-analysis is a tool for aggregating estimates of a similar "effect" across many studies. Publication bias is the phenomenon where literature is sample selected in favor of studies having statistically significant results and/or having estimates that satisfy pre-conceived expectations. A...

Persistent link: https://www.econbiz.de/10012123199

The Properties of Model Selection When Retaining Theory Variables

Hendry, David F.; Johansen, Soren - 2011

theory model that specifies the correct set of m relevant exogenous variables, x{t}, within the larger set of m k candidate … the estimator distribution of the theory parameters. This strategy returns the theory-parameter estimates when the theory … is correct, yet protects against the theory being under-specified because some w{t} are relevant …

Persistent link: https://www.econbiz.de/10014176132

Non-standard errors

Bosch-Rosa, Ciril; Kassner, Bernhard - 2023

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across...

Persistent link: https://www.econbiz.de/10014478337

Methodische Ansätze zur Quantifizierung der Arbeitsplatzeffekte von Maßnahmen zur ländlichen Entwicklung

Margarian, Anne - 2010

The present work discusses possible methodological approaches for the assessment of employment effects of rural development measures. A special focus is on measures of the so called integrated rural development. Methods that are considered non-appropriate are considered nevertheless. Therefore,...

Persistent link: https://www.econbiz.de/10008688585

Karl Popper's Superstitious Indeterminism : Is Statistics a Science?

Choi, Hak - 2016

This paper shows how a great philosopher, like Popper, can easily fall back to a common superstitious person. This paper also criticizes the general practice by statisticians to invent ad hoc method or manipulate data to suppress errors. Instead, this paper promotes the Xenophanes spirit of...

Persistent link: https://www.econbiz.de/10012984223

The Fatal Flaw in the Methodology of Law & Economics

McGee, Robert W. - 2016

Persistent link: https://www.econbiz.de/10012986886

Non-standard errors

Menkveld, Albert J.; Dreber, Anna; Holzmeister, Felix; … - 2021

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

Persistent link: https://www.econbiz.de/10012800991

Multilevel Modeling for Economists : Why, When and How

Oshchepkov, Aleksey Y. - 2020

Multilevel modeling (MLM, also known as hierarchical linear modeling, HLM) is a methodological framework widely used in the social sciences to analyze data with a hierarchical structure, where lower units of aggregation are ‘nested' in higher units, including longitudinal data. In economics,...

Persistent link: https://www.econbiz.de/10012829756

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