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Showing 1 to 12 of 12 for “"Wild bootstrap"”.

  1. On Explosive Time Series

    … 2-4. The second chapter proposes a right-tailed bootstrap implementation of the covariate Augmented Dickey-Fuller (CADF) unit root test of Hansen (1995), motivated by the work of Chang, Sickles and Song (2017). We apply the right-tailed bootstrap BCADF test in a recursive manner and provide …

    essex Repository record for On Explosive Time Series (opens in a new tab)

  2. Incentive Structures, Labour Performance, and Fruit Quality: Panel Evidence from a South African Deciduous Fruit Operation (2017–2019)

    … effects regression with cluster-robust and wild-bootstrap inference. Results indicate that seasonal group-based incentives are consistently associated with lower (better-quality) fruit-damage scores than daily individual incentives, even after controlling for climatic and operational …

    stellenbosch Repository record for Incentive Structures, Labour Performance, and Fruit Quality: Panel Evidence from a South African Deciduous Fruit Operation (2017–2019) (opens in a new tab)

  3. Do Marketing Strategies Impact Condom Sales in Uganda?

    … few clusters in the study, we use the method of Wild Bootstrap-6 pt Randomisation Inference to discuss the statistical significance of our results.</p>

    usfca Repository record for Do Marketing Strategies Impact Condom Sales in Uganda? (opens in a new tab)

  4. Quantile Inference and Change Point Test under Time Series Non-stationarity

    … procedures, pivotalization and independent wild bootstrap, are shown to be inconsistent for non-stationary time series quantile regression. In this paper, simple bootstrap methods are proposed and are proved to be consistent for regression quantile structural change detection under both …

    toronto-retro Repository record for Quantile Inference and Change Point Test under Time Series Non-stationarity (opens in a new tab)

  5. Three essays on the demand system

    … using nonlinear least squares augmented by a wild bootstrap procedure for bias correction and to allow for heteroskedasticity across both studies and food categories. Furthermore, using the estimated fundamental parameters and historical market data, we estimate price and income elasticities …

    missouri Repository record for Three essays on the demand system (opens in a new tab)

  6. Three essays on bubbles in agricultural futures markets

    … procedure is derived based on the recursive wild bootstrap. Though organized under the same framework and examined using the same procedure, the three essays of this dissertation focus on different aspects of speculative influences on recent commodity price booms, with each providing a …

    uiuc Repository record for Three essays on bubbles in agricultural futures markets (opens in a new tab)

  7. The Single Imputation Technique in the Gaussian Mixture Model Framework

    … In the first imputation procedure, the wild bootstrap is proposed to improve the uncertainty for the residual variance in the regression model. In the second solution, the predictive mean matching (PMM) is enhanced, where the regression model is taking the main role to generate the …

    bradford Repository record for The Single Imputation Technique in the Gaussian Mixture Model Framework (opens in a new tab)

  8. Essays on Testing Hypotheses When Non-stationarity Exists in Panel Data Models

    … estimator. In the second essay, I develop the bootstrap F-statistic for cross-sectional independence in a panel data model with factor structure.</p> <p>The first essay considers the problem of hypotheses testing in a simple panel data regression model with random individual effects and …

    syracuse-diss Repository record for Essays on Testing Hypotheses When Non-stationarity Exists in Panel Data Models (opens in a new tab)

  9. Change point detection for high dimensional data and valid inference for Bayesian linear models

    … proposed tests target a dense alternative and a wild bootstrap procedure is used to estimate the unknown limiting distribution. The bootstrap test is free of tuning parameters and we derive bootstrap consistency under the null. We extend the theory results to testing multiple change points and …

    uiuc Repository record for Change point detection for high dimensional data and valid inference for Bayesian linear models (opens in a new tab)

  10. Econometric Analysis of Labour Market Interventions

    This thesis involves three essays that explore the theory and application of econometric analysis to labour market interventions. One essay is methodological, and two essays are applications. The first essay contributes to the literature on inference with data sets containing within-cluster …

    queens Repository record for Econometric Analysis of Labour Market Interventions (opens in a new tab)

  11. Inference of time series regression models with weakly dependent errors

    … nonstationary in the unit root setting. A bootstrap-based method is proposed and its consistency is proved.

    uiuc Repository record for Inference of time series regression models with weakly dependent errors (opens in a new tab)

  12. Hypothesis testing for spatial SARAR Tobit models and high dimensional data and their applications

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01

    uiuc Repository record for Hypothesis testing for spatial SARAR Tobit models and high dimensional data and their applications (opens in a new tab)