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Jeffrey M. Gonzalez

Jeff Gonzalez  

Jeffrey M. Gonzalez, Ph.D.

Director, Mathematical Statistics Research Center, Office of Survey Methods Research
Education:
  • University of North Carolina-Chapel Hill, 2003, BS, Biostatistics
  • University of Michigan-Ann Arbor, 2005, MS, Biostatistics
  • University of Maryland-College Park, 2012, Ph.D., Survey Methodology-Statistical Science Concentration
Fields of Interest:
  • Modular survey designs
  • New and emerging data collection modes and methodologies
  • Nonresponse bias
  • Respondent burden
  • Responsive and adaptive designs
  • Total survey error
Professional Experience:
  • Director, Mathematical Statistics Research Center, Office of Survey Methods Research, Bureau of Labor Statistics, September 2022 – Present
  • Research Mathematical Statistician, Food Assistance Branch, Food Economics Division, Economic Research Service, December 2019 – September 2022
  • Division Chief, Statistical Methods Group, Office of Compensation and Working Conditions, Bureau of Labor Statistics, January 2017 – December 2019
  • Research Mathematical Statistician, Mathematical Statistics Research Center, Office of Survey Methods Research, Bureau of Labor Statistics, September 2015 – December 2016
  • Survey Statistician, Center for Financing, Access, and Cost Trends, Agency for Health Care Research and Quality, June 2013 – September 2014
  • Research Mathematical Statistician, Mathematical Statistics Research Center, Office of Survey Methods Research, Bureau of Labor Statistics, January 2007 – May 2013
Selected Publications and Working Papers:
  • Scharadin, B., Miller, L., Gonzalez, J.M., Ver Ploeg, M., and Odom, R. Utilizing the USDA’s National Household Food Acquisition and Purchasing Survey to Calculate a Household Level Food Environment Measure, U.S. Department of Agriculture, Economic Research Service, (forthcoming).

  • Li, K., Si, Y., West, B.T., Zhang, X., Page, E.T., Gonzalez, J.M., & Miller, L., (2023). Estimating county-level food insecurity prevalence: a comparison of model-based procedures. Technical report, University of Michigan, Ann Arbor.

  • Kaderabek, A., West, B.T., Kirlin, J.A., Page, E.T, and Gonzalez, J.M. (2021). Is “Proof of Purchase” Really Proof? Paper presented at the 2021 Federal Committee on Statistical Methodology Research and Policy Conference, Virtual, November 2021.

  • Gonzalez, J.M. (2016). Utilizing Matrix Sampling to Reduce Respondent Burden. Reducing Response Burden in the American Community Survey: Proceedings of a Workshop, National Academies of Sciences, Engineering, and Medicine. Washington, DC: The National Academies Press. https://doi.org/10.17226/23639.

  • Gonzalez, J.M. and Eltinge, J.M. (2016). Discussion of "On a Modular Approach to the Design of Integrated Social Surveys.” Journal of Official Statistics, Vol. 32, No. 2, 2016, pp. 295–300, http://dx.doi.org/10.1515/JOS-2016-0016.

  • Gonzalez J.M., Mirel L.B., and Verevkina N. (2016). Nonsampling errors and their implication for estimates of current cancer treatment using the Medical Expenditure Panel Survey. Survey Methods: Insights from the Field. https://surveyinsights.org/?p=7860.

  • Gonzalez, J.M. and Mirel, L.B. (2014). Imputation of Medicaid Beneficiaries’ Expenditures for Physician Visits and Hospital Care in the Medical Expenditure Panel Survey. Proceedings of the Health Policy Section, American Statistical Association.

  • Mirel, L.B. and Gonzalez, J.M. (2014). Enhancing the Medical Expenditure Panel Survey Data on Medicaid Beneficiaries through Data Linkage. Proceedings of the Health Policy Section, American Statistical Association.

  • Gonzalez, J.M. (2014). Comparison of HC-Reported Payments and Charges for Health Care Service Events to Corresponding MPC-Reported Payments and Charges for Years 2010 and 2011. Agency for Healthcare Research and Quality Working Paper.

  • Gonzalez, J.M. (2013). National Health Care Expenses in the U.S. Civilian Noninstitutionalized Population, 2011. Statistical Brief #425. November 2013. Agency for Healthcare Research and Quality, Rockville, MD. http://www.meps.ahrq.gov/mepsweb/data_files/publications/st425/stat425.pdf.  

  • Mercer, A., Ren, W., Machlin, S., Rohde, F., and Gonzalez, J.M. (2013). Combining Paradata and Survey Responses to Identify Sources of Measurement Error in Medical Event Reporting. Proceedings of the Section on Survey Research Methods, American Statistical Association, 3493—502. http://www.asasrms.org/Proceedings/y2013/files/309701_83135.pdf.

  • Gonzalez, J.M. (2011). Evaluating the Impact of Interviewer Observed Auxiliary Information in Nonresponse Adjustments. Paper presented at the 2011 American Association for Public Opinion Research Conference, Phoenix, AZ, May 2011.

  • Gonzalez, J.M. and Eltinge, J.L. (2010). Optimal Survey Design: A Review. Proceedings of the Section on Survey Research Methods, American Statistical Association, 4970—83. http://www.asasrms.org/Proceedings/y2010/Files/308864_61805.pdf.

  • Edgar, J. and Gonzalez, J.M. (2009). Correlates of Data Quality in the Consumer Expenditure Quarterly Interview Survey. Proceedings of the Section on Survey Research Methods, American Statistical Association, 1151—63. http://www.asasrms.org/Proceedings/y2009/Files/303576.pdf.

  • King, S.L., Chopova, B., Edgar, J., Gonzalez, J.M., McGrath, D.E., and Tan, L. (2009). Assessing Nonresponse Bias in the Consumer Expenditure Interview Survey. Proceedings of the Section on Survey Research Methods, American Statistical Association, 1808—16. http://www.asasrms.org/Proceedings/y2009/Files/303819.pdf.

  • Gonzalez, J.M. and Eltinge, J.L. (2007). Multiple Matrix Sampling: A Review. Proceedings of the Section on Survey Research Methods, American Statistical Association, 3069—75. http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000494.pdf.

Last Modified Date: October 3, 2022