Taxation and parameter uncertainty

some examples by Geoff Frewer

Publisher: University of Warwick,Department of Economics in Coventry

Written in English
Published: Pages: 29 Downloads: 909
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Edition Notes

StatementGeoff Frewer.
SeriesWarwick economic research papers / University of Warwick Department of Economics -- no.271
The Physical Object
Pagination[29]p. ;
Number of Pages29
ID Numbers
Open LibraryOL17182868M

PEST - the Book This brings together in one place all of the theory on which PEST and its suite of utility software is based. It also covers important issues like how models should be used in the decision-making context, uncertainty analysis, model-based hypothesis testing, and the effects of model defects on calibration, prediction and. In ordinary use, the word 'uncertainty' does not inspire confidence. However, when used in a technical sense it carries a specific meaning. It is a parameter, associated with the result of a measurement (e.g. a calibration or test) that defines the range of the values that could reasonably be attributed to the measured quantity. Chapter 2Prior Knowledge, Parameter Uncertainty, and Estimation Bayesian probability treats data as known conditioning information and the unknown parameters of statistical models as probability distributions. Classical statistics follows the - Selection from Bayesian Risk Management [Book]. The book argues that: first, taxation should be understood as a relational concept and tax systems as a function of a strategic nexus between the state and society; second, that any analysis of tax systems across Latin America needs to take historical legacies of national tax systems into account; and finally, that transnational phenomena have Format: Hardcover.

mean (a key parameter) of the probability distribution is incorrect. Some examples include: 1. Aspects of the future that are not considered by the parameters or the model structure. There is always uncertainty regarding the “true” value of parameters regarding the future, no matter the historical data available. As mentioned before, the goal of this paper is uncertainty quantification by means of establishing confidence intervals of the estimated modal parameters. High order time domain algorithms such as Polyreference Time Domain (PTD) algorithm [7, 8], are well known in the industry and are used extensively for modal parameter estimation.   We live in a world of uncertainty. One strategy used in economics is to incorporate the notion of parameter uncertainty: we have the correct model, but the parameters have some random variation from a baseline value. This strategy is highly inadequate, and has been rejected by robust control theory. The belief that we have the correct model was an . Tax uncertainty is the term for the economic risk that results when future taxes and tax rates are undetermined. Similar to policy uncertainty, tax uncertainty can impact both individuals and businesses and has been shown in some studies to slow rates of economic growth.. In the United States. Temporary tax measures adopted in the s, commonly referred to as Bush tax .

Impacts of Parameter Uncertainty and Seasonal Variation on a Regional Model Benjamin J. Sherman and Mark J. TenBroek The most recent release of the City ofDetroitregional sewerage collection system SWMM model includes refinements and/or improved characterization ofvarious model parameters such as directly connected impervious area (DCIA), rainfall. It is now becoming recognized in the measurement community that it is as important to communicate the uncertainty related to a specific measurement as it is to report the measurement itself. Without k About this book. it is also impossible to assess the comparability of different measurements of the same parameter. This volume collects.   The Uncertainty Tax. structural impediments and an epidemic of uncertainty about what the future holds for everything from health care to the rate of taxation to Social Security and Medicare. Notes on Optimal Wage Taxation and Uncertainty Jonathan Eaton, Harvey S. Rosen. NBER Working Paper No. (Also Reprint No. r) Issued in August NBER Program(s):Public Economics Most contributions to optimal tax theory have assumed that all prices, including that of leisure, are known with certainty.

Taxation and parameter uncertainty by Geoff Frewer Download PDF EPUB FB2

Parameter uncertainty to both mortality rates and mortality improvement. Wecompare the impact of parameter uncertainty on the present value of a simple life Size: KB. parameter uncertainty for both the loss distribution and the frequency, and also model uncertainty by choosing two different models for the loss distribution.

For. Abstract: Tax uncertainty typically derives from institutional flaws of the tax policy process and unclear tax rules at the domestic level. At the international level tax uncertainty has its roots in the lack of tax coordination and cooperation between countries, as well as in the increased globalization and the emergence of new business Size: KB.

TAXATION AND BEHAVIOUR UNDER UNCERTAINTY By SYED MAINUL AHSAN, B.A., M.A. A Thesis Submitted to the School of Graduate Studies in Partial Fulfilment of the Requirements for the degree Doctor of Philosophy McMaster University June Cited by: 1.

A kind of folk Taxation and parameter uncertainty book in tax policy states that too much uncertainty about the impact of taxing (or subsidizing) a particular taxable attribute is cause for excluding that attribute from the tax Author: Chris William Sanchirico. Progressive Taxation, Tax Exemption, and Irreversible Investment under Uncertainty Article in Journal of Public Economic Theory 10(1) February with.

This book is very cheap. But it is not free. If you are reading this book and have not paid for it, then I urge you to do so. This book is the product of many month’s work.

The story which it tells is the story of PEST, which is the outcome of a lifetime’s work. PEST is free. This book is not - for one very practical reason.

Parameter Uncertainty Example 2 Example 2 Lognormal Distribution If we assume with both fitted mean and standard deviation of 1, This has the parameters. Let us assume that the parameters are equally likely to be 5% higher, 5% lower and the fitted parameters.

X~LogNormal, 2 2 1. Interval forecasts and parameter uncertainty Bruce E. Hansen Department of Economics, Observatory Drive, University of Wisconsin, Madison, WIUSA Available online 30 August Abstract Forecast intervals generalize point forecasts to represent and incorporate uncertainty.

PARAMETER UNCERTAINTY IN (LOG)NORMAL DISTRIBUTIONS Then the NLL becomes NLL = n -- 2y2 + ln(y) + #0 + ln(~0) • () The range of v and Taxation and parameter uncertainty book is the same as that for # and o: oe File Size: KB.

Abstract. The economic surroundings in which the activities of companies are carried out, is all the time getting more and more complex as a consequence of the effects to acquisition and operation costs of investment objects caused by elements such as the inflation process, technical progress and : Jaime Gil-Aluja, Jaime Gil-Aluja.

tax certainty and its support for practical actions by governments, tax administrations and businesses to provide a more predictable and certain tax environment to support cross-border trade and investment and secure a more stable and predictable revenue stream for gov Size: 1MB.

However, as the variability of the parameter distributions increases, so does the skewness and kurtosis of the output distribution, which suggests the variance is gradually becoming less effective as a characterisation of the output distribution and therefore uncertainty.

Conversely, at low parameter variation, the output distribution skew and Cited by: Parameter Uncertainty Sponsored by the Casualty Actuarial Society (CAS), Canadian Institute of Actuaries (CIA), and the Society of Actuaries' (SOA) Joint Risk Management Section and the Joint Risk Management Research Committee, this study examines and describes parameter uncertainty.

rameter uncertainty drives debt value down due to concavity of a debt function. It is shown that the impact of parameter uncertainty depends on the magnitude of parameter uncertainty and the shape of the debt function. The idea and intuition about this is investigated through the famed Merton model().

ii Handbook of uncertainty calculations Revision 2, March NFOGM, NPD, CMR, NIF PREFACE Norwegian regulations relating to measurement of petroleum for fiscal purposes and for calculation of CO2 tax require that the overall measurement uncertainty be documented to be within defined Size: 8MB.

When we are estimating under uncertainty, the consideration and reconciliation of independent multiple estimates of the parameter yields forecasts that are generally less biased and closer to reality than the more orthodox procedure of devoting more time, money, and technology to additional study by a single investigator.

Optimal control is a very significant field of modern control theory which has been applied in many areas like medicine, science, and finance. This work is based on realization of asset values as a benefit of asset management where a capital asset management problem is modelled and expressed mathematically from the perspective of an investor whose income is generated by Author: Tolulope Latunde, Olabode Matthias Bamigbola.

This book fulfills the global need to evaluate measurement results along with the associated uncertainty. In the book, together with the details of uncertainty calculations for many physical parameters, probability distributions and their properties are discussed.

This book fulfills the global need to evaluate measurement results along with the associated uncertainty. In the book, together with the details of uncertainty calculations for many physical parameters, probability distributions and their properties are by:   To introduce deferred tax first time in the books, we have to find Difference between the Value of Assets as per Books of Accounts and the Value of Assets as per Income Tax Act.

To simplify if we have fixed assets in the books as gross block Rs lacs and accumulated depreciation Rs lacs, the net value in the books is Rs lacs.

A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis By John E. Doherty1, 2, Randall J. Hunt3, and Matthew J. Tonkin4 Abstract Analysis of the uncertainty associated with parameters used by a numerical model, and with predictions that depend on those parameters, is fundamental to the use of modeling inFile Size: 3MB.

Uncertainty analysis (UA) and SA are necessary to explore the behavior of models and to assess the uncertainty and sensitivity of input parameters. Both UA and SA are integral assessments of the modeling process (Saltelli et al., ), and when conducted together, the model user is more informed about the confidence of results.

Downloadable (with restrictions). The nonindustrial private forest (NIPF) owner's consumption and harvesting decisions are investigated under inheritance and capital income taxes using a two-period model.

The impact of the forest-owner's age is introduced into the analysis through a parameter of perceived probability of surviving through a future period. Purchase Applied Groundwater Modeling - 2nd Edition. Print Book & E-Book.

ISBNMeasurement Uncertainty. easy to evaluate (see Sections and ). However, the counting uncertainty is only one component of the total measurement uncertainty.

Over the years it has been recommended repeatedly that laboratories perform good evaluations of the total uncertainty of each measure-ment. Valuation Uncertainty. But I digress; the point of this article is to discuss the new and unprecedented uncertainty that is impacting real estate markets worldwide and, specifically, the impact of that uncertainty on the “Market Value” of property (and other assets).

Portfolio Selection with Parameter and Model Uncertainty: A Multi-Prior Approach Abstract In this paper, we extend the mean-variance portfolio model where expected returns are ob-tained using maximum likelihood estimation to explicitly account for uncertainty about the estimated expected returns.

Data and research on tax including income tax, consumption tax, dispute resolution, tax avoidance, BEPS, tax havens, fiscal federalism, tax administration, tax treaties and transfer pricing., This report explores the nature of tax uncertainty, its main sources and effects on business decisions and outlines a set of concrete and practical approaches to help policymakers and tax.

The uncertainty parameter U is a parameter introduced by the Minor Planet Center (MPC) to quantify concisely the uncertainty of a perturbed orbital solution for a minor planet. The parameter is a logarithmic scale from 0 to 9 that measures the anticipated longitudinal uncertainty in the minor planet's mean anomaly after 10 years.

The implications of parameter uncertainty for irreversible investment decisions. Sampson, Michael J., () Optimal investment strategies under demand and tax policy uncertainty. Böhm, Hjalmar, () More.41 CRITICAL ACCOUNTING JUDGEMENTS AND KEY SOURCES OF ESTIMATION UNCERTAINTY The Group’s accounting policies are set out in note 1 to these financial statements.

Management is required to exercise significant judgement in File Size: KB.Accounting for Uncertainty in Income Taxes—an interpretation of FASB Statement No. (often referred to as “FIN 48”) 1 requires public companies to identify uncertain income tax positions, and de-re cog-nize part or all of previously booked tax benefits where uncertainty exists.

Under the company must establish a reserve for the.