Jackson P. Lautier

ORCID: 0000-0003-0294-0314
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About
Contact & Profiles
Research Areas
  • Housing Market and Economics
  • Statistical Distribution Estimation and Applications
  • Financial Literacy, Pension, Retirement Analysis
  • Statistical Methods and Bayesian Inference
  • Insurance and Financial Risk Management
  • Statistical Methods and Inference
  • Financial Risk and Volatility Modeling
  • Banking stability, regulation, efficiency
  • Time Series Analysis and Forecasting
  • Urban, Neighborhood, and Segregation Studies
  • Housing, Finance, and Neoliberalism
  • Metabolomics and Mass Spectrometry Studies
  • Credit Risk and Financial Regulations
  • Advanced Text Analysis Techniques
  • Insurance, Mortality, Demography, Risk Management
  • Bayesian Methods and Mixture Models
  • Sports Analytics and Performance
  • Stochastic processes and financial applications
  • Music and Audio Processing
  • Spreadsheets and End-User Computing
  • Data Stream Mining Techniques
  • COVID-19 Pandemic Impacts
  • Sports Performance and Training

Bentley University
2021-2024

University of Connecticut
2021-2023

10.1016/j.insmatheco.2023.02.003 article EN publisher-specific-oa Insurance Mathematics and Economics 2023-02-21

We investigate whether pandemic-induced contagion disamenities and income effects arising due to COVID-related unemployment adversely affected real estate prices of one- or two-family owner-occupied properties across New York City (NYC). First, OLS hedonic results indicate that greater COVID case numbers are concentrated in neighborhoods with lower-valued properties. Second, we use a repeat-sales approach for the period 2003 2020, find both possibility impacted home sale prices. Estimates...

10.1111/jors.12591 article EN Journal of Regional Science 2022-03-10

Pharmaceutical researchers are continually searching for techniques to improve both drug development processes and patient outcomes. An area of recent interest is the potential machine learning (ML) applications within pharmacology. One such application not yet given close study unsupervised clustering plasma concentration-time curves, hereafter, pharmacokinetic (PK) curves. In this paper, we present our findings on how cluster PK curves by their similarity. Specifically, find be effective...

10.1080/10543406.2024.2365389 article EN Journal of Biopharmaceutical Statistics 2024-06-18

Abstract Risk-based pricing within consumer lending is ubiquitous. It considers both prevailing interest rates and the credit profile of a borrower to determine cost borrowing. All else equal, higher default risks pay borrowing costs. This annual percentage rate (APR), it set at loan’s origination. A borrower’s dynamic, however, risk gradually declines for current loans. In this article, we derive novel large-sample statistical hypothesis test suitable loans sampled from asset-backed...

10.1093/jrsssa/qnae137 article EN Journal of the Royal Statistical Society Series A (Statistics in Society) 2024-12-18

Concerns about the lingering novel Coronavirus may have led to long-term structural change in desired dwelling locations some large U.S. cities, such as New York City. Densely concentrated neighborhoods be at higher risk of virus contagion, giving more individuals incentives move out. We investigate whether this pandemic-induced disamenity adversely affected real estate prices one- or two-family owner-occupied properties across First, OLS hedonic results indicate that greater COVID case...

10.2139/ssrn.3959105 article EN SSRN Electronic Journal 2021-01-01

Pharmaceutical researchers are continually searching for techniques to improve both drug development processes and patient outcomes. An area of recent interest is the potential machine learning (ML) applications within pharmacology. One such application not yet given close study unsupervised clustering plasma concentration-time curves, hereafter, pharmacokinetic (PK) curves. In this paper, we present our findings on how cluster PK curves by their similarity. Specifically, find be effective...

10.48550/arxiv.2210.13310 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Loan seasoning and inefficient consumer interest rate refinance behavior are well-known for mortgages. Consumer automobile loans, which collateralized loans on a rapidly depreciating asset, have attracted less attention, however. We derive novel large-sample statistical hypothesis test suitable sampled from asset-backed securities to populate transition matrix between risk bands. find all current bands eventually converge super-prime credit, despite remaining underwater. Economically, our...

10.48550/arxiv.2211.09176 preprint EN cc-by arXiv (Cornell University) 2022-01-01

The National Basketball Association (NBA) imposes a player salary cap. It is therefore useful to develop tools measure the relative realized return of player's given their on court performance. Very few such studies exist, however. We thus present first known framework estimate investment (ROI) for NBA contracts. operates in five parts: (1) decide measurement time horizon, as standard 82-game regular season; (2) calculate novel game contribution percentage (GCP) we propose, which single...

10.48550/arxiv.2309.05783 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Prudent management of insurance investment portfolios requires competent asset pricing fixed-income assets with time-to-event contingent cash flows, such as consumer asset-backed securities (ABS). Current market techniques for these either rely on a non-random model or may not utilize detailed asset-level data that is now available most public transactions. We first establish framework capable yielding estimates the random variable from securitization data, which discrete and often subject...

10.48550/arxiv.2201.04981 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Risk-based pricing of loans is well-accepted. Left unstudied, however, the conditional credit risk a loan that remains current. Using large-sample statistics and asset-level consumer automobile asset-backed security data, we find default on survival converges for borrowers in disparate bands well before scheduled termination, phenomenon call convergence. We then use actuarial techniques to derive market-implied spread by band estimate current deep subprime eventually overpay annual...

10.2139/ssrn.4278917 article EN SSRN Electronic Journal 2022-01-01

Proper econometric analysis should be informed by data structure. Many forms of financial are recorded in discrete-time and relate to products a finite term. If the comes from trust, it will often further subject random left-truncation. While literature for estimating distribution function left-truncated is extensive, thorough search reveals that case discrete over number possible values has received little attention. A precise framework suitable sampling procedure Woodroofe-type estimator...

10.48550/arxiv.2108.04854 preprint EN cc-by arXiv (Cornell University) 2021-01-01
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