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strategies that combine econometrics and machine learning when conducting forecasts with new big data sources. Specifically … reduction strategies and traditional econometrics approaches in fore-cast accuracy, there are further significant gains from …
Persistent link: https://www.econbiz.de/10012916165
We study why acquisitions of entrant firms by an incumbent can deter innovation and entry in the digital platform industry, where there are strong network externalities and some customers face switching costs. A high probability of an acquisition induces some potential early adopters to wait for...
Persistent link: https://www.econbiz.de/10013298326
We provide a new and superior measure of U.S. GDP, obtained by applying optimal signal-extraction techniques to the (noisy) expenditure-side and income-side estimates. Its properties - particularly as regards serial correlation - differ markedly from those of the standard expenditure-side...
Persistent link: https://www.econbiz.de/10013083397
In this paper I analyze the relationships among investment, q, and cash flow in a tractable stochastic model in which marginal q and average q are identically equal. After analyzing the impact of changes in the distribution of the marginal operating profit of capital, I extend the model to...
Persistent link: https://www.econbiz.de/10013015553
In three sets of experiments involving over 4,200 subjects, we show that agents motivated to be selfish make systematic decision errors of the kind generally attributed to cognitive limitations or behavioral biases. We show that these decision errors are eliminated (or dramatically reduced) when...
Persistent link: https://www.econbiz.de/10012857671
We propose point forecast accuracy measures based directly on distance of the forecast-error c.d.f. from the unit step function at 0 ("stochastic error distance," or SED). We provide a precise characterization of the relationship between SED and standard predictive loss functions, and we show...
Persistent link: https://www.econbiz.de/10012984778
It is common in empirical research to use what appear to be sensible rules of thumb for cleaning data. Measurement error is often the justification for removing (trimming) or recoding (winsorizing) observations whose values lie outside a specified range. This paper considers identification in a...
Persistent link: https://www.econbiz.de/10013232932
We propose a general method of moments technique to identify measurement error in self-reported and transcript-reported schooling using differences in wages, test scores, and other covariates to discern the relative verity of each measure. We also explore the implications of such reporting...
Persistent link: https://www.econbiz.de/10013234051
We consider the implications of a specific alternative to the classical measurement error model, in which the data are optimal predictions based on some information set. One motivation for this model is that if respondents are aware of their ignorance they may interpret the question what is the...
Persistent link: https://www.econbiz.de/10013239982
Seasonal adjustment procedures attempt to estimate the sample realizations of an unobservable economic time series in the presence of both seasonal factors and irregular factors. In this paper we consider a factor which has not been considered explicitly in previous treatments of seasonal...
Persistent link: https://www.econbiz.de/10013248433