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Satheesh V Aradhyula

  • Associate Professor, Agricultural-Resource Economics
  • Associate Professor, Statistics-GIDP
  • Member of the Graduate Faculty
Contact
  • (520) 621-6260
  • McClelland Park, Rm. 304A
  • Tucson, AZ 85721
  • satheesh@arizona.edu
  • Bio
  • Interests
  • Courses
  • Scholarly Contributions

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Courses

2025-26 Courses

  • Economic Statistics
    AREC 339 (Fall 2025)
  • Economic Statistics
    ECON 339 (Fall 2025)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2025)
  • Math For Economists
    AREC 580 (Fall 2025)

2024-25 Courses

  • Appl Econometric Anls
    AREC 549 (Spring 2025)
  • Appl Econometric Anls
    ECON 549 (Spring 2025)
  • Intro Stats & Data Anlys
    AREC 239 (Spring 2025)
  • Research Food & Res Economics
    AREC 397C (Spring 2025)
  • Economic Statistics
    AREC 339 (Fall 2024)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2024)
  • Math For Economists
    AREC 580 (Fall 2024)

2023-24 Courses

  • Appl Econometric Anls
    AREC 549 (Spring 2024)
  • Adv Appl Econometrics Topics
    AREC 697 (Fall 2023)
  • Data Anal & Mdl: Quant Anl-Ecn
    ECON 453 (Fall 2023)
  • Economic Statistics
    AREC 339 (Fall 2023)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2023)
  • Math For Economists
    AREC 580 (Fall 2023)

2022-23 Courses

  • Appl Econometric Anls
    AREC 549 (Spring 2023)
  • Appl Econometric Anls
    ECON 549 (Spring 2023)
  • Data Anal & Mdl: Quant Anl-Ecn
    ECON 453 (Spring 2023)
  • Economic Statistics
    AREC 339 (Spring 2023)
  • Independent Study
    AREC 599 (Spring 2023)
  • Intro Stats & Data Anlys
    AREC 239 (Spring 2023)
  • Thesis
    AREC 910 (Spring 2023)
  • Adv Appl Econometrics Topics
    AREC 697 (Fall 2022)
  • Data Anal & Mdl: Quant Anl-Ecn
    ECON 453 (Fall 2022)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2022)
  • Math For Economists
    AREC 580 (Fall 2022)
  • Production Economics
    AREC 504 (Fall 2022)
  • Production Economics
    ECON 504 (Fall 2022)
  • Thesis
    AREC 910 (Fall 2022)

2021-22 Courses

  • Intro Stats & Data Anlys
    AREC 239 (Summer I 2022)
  • Appl Econometric Anls
    AREC 549 (Spring 2022)
  • Appl Econometric Anls
    ECON 549 (Spring 2022)
  • Econometrics
    ECON 511B (Spring 2022)
  • Intro Stats & Data Anlys
    AREC 239 (Spring 2022)
  • Thesis
    STAT 910 (Spring 2022)
  • Undrstg World of Commerce
    AREC 210 (Spring 2022)
  • Undrstg World of Commerce
    PPEL 210 (Spring 2022)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2021)
  • Math For Economists
    AREC 580 (Fall 2021)

2020-21 Courses

  • Appl Econometric Anls
    AREC 549 (Spring 2021)
  • Consm Econ + Price Anls
    AREC 513 (Spring 2021)
  • Intro Stats & Data Anlys
    AREC 239 (Spring 2021)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2020)
  • Intro Stats & Data Anlys
    AREC 239 (Fall 2020)
  • Math For Economists
    AREC 580 (Fall 2020)

2019-20 Courses

  • Intro Stats & Data Anlys
    AREC 239 (Summer I 2020)
  • Appl Econometric Anls
    AREC 549 (Spring 2020)
  • Intro Stats & Data Anlys
    AREC 239 (Spring 2020)
  • Undrstg World of Commerce
    AREC 210 (Spring 2020)
  • Undrstg World of Commerce
    PPEL 210 (Spring 2020)
  • Dissertation
    STAT 920 (Fall 2019)
  • Honors Thesis
    ECON 498H (Fall 2019)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2019)
  • Math For Economists
    AREC 580 (Fall 2019)

2018-19 Courses

  • Appl Econometric Anls
    AREC 549 (Spring 2019)
  • Appl Econometric Anls
    ECON 549 (Spring 2019)
  • Dissertation
    STAT 920 (Spring 2019)
  • Honors Thesis
    ECON 498H (Spring 2019)
  • Independent Study
    AREC 599 (Spring 2019)
  • Intro Stats & Data Anlys
    AREC 239 (Spring 2019)
  • Undrstg World of Commerce
    AREC 210 (Spring 2019)
  • Undrstg World of Commerce
    PPEL 210 (Spring 2019)
  • Dissertation
    STAT 920 (Fall 2018)
  • Econ of Policy Analysis
    AREC 464 (Fall 2018)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2018)

2017-18 Courses

  • Appl Econometric Anls
    AREC 549 (Spring 2018)
  • Appl Econometric Anls
    ECON 549 (Spring 2018)
  • Independent Study
    AREC 599 (Spring 2018)
  • Intro Stats & Data Anlys
    AREC 239 (Spring 2018)
  • Intro to Econometrics
    ECON 418 (Spring 2018)
  • Independent Study
    AREC 599 (Fall 2017)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2017)
  • Math For Economists
    AREC 580 (Fall 2017)

2016-17 Courses

  • Thesis
    AREC 910 (Summer I 2017)
  • Appl Econometric Anls
    AREC 549 (Spring 2017)
  • Appl Econometric Anls
    ECON 549 (Spring 2017)
  • Honors Thesis
    ECON 498H (Spring 2017)
  • Independent Study
    AREC 599 (Spring 2017)
  • Independent Study
    AREC 699 (Spring 2017)
  • Introduction to Statistics
    AREC 201 (Spring 2017)
  • Introduction to Statistics
    FCSC 201 (Spring 2017)
  • Thesis
    AREC 910 (Spring 2017)
  • Honors Thesis
    ECON 498H (Fall 2016)
  • Intro Statistical Methds-Econ
    AREC 548 (Fall 2016)
  • Math For Economists
    AREC 580 (Fall 2016)
  • Theory Quan Method Econ
    ECON 520 (Fall 2016)
  • Thesis
    AREC 910 (Fall 2016)

2015-16 Courses

  • Economic Statistics
    AREC 339 (Summer I 2016)
  • Economic Statistics
    ECON 339 (Summer I 2016)
  • Thesis
    AREC 910 (Summer I 2016)
  • Appl Econometric Anls
    AREC 549 (Spring 2016)
  • Appl Econometric Anls
    ECON 549 (Spring 2016)
  • Independent Study
    AREC 599 (Spring 2016)
  • Independent Study
    AREC 699 (Spring 2016)
  • Thesis
    AREC 910 (Spring 2016)

Related Links

UA Course Catalog

Scholarly Contributions

Journals/Publications

  • Aradhyula, S. V., & Ergün, A. T. (2004). Trading collar, intraday periodicity and stock market volatility. Applied Financial Economics, 14(13), 909-913.
    More info
    Abstract: Using five-minute data, market volatility in the Dow Jones Industrial Average is examined in the presence of trading collars. A polynomial specification is used for capturing intraday seasonality. Results indicate that market volatility is 3.4% higher in declining markets when trading collars are in effect. Results also support a U-shaped intraday periodicity in volatility. © 2004 Taylor and Francis Ltd.
  • Holt, M. T., & Aradhyula, S. V. (1998). Endogenous risk in rational-expectations commodity models: A multivariate generalized ARCH-M approach. Journal of Empirical Finance, 5(2), 99-129.
    More info
    Abstract: The feasibility of including endogenous risk in a rational-expectations model is examined by using a multivariate GARCH-M setup. Unlike previous attempts to model risk under the rational-expectations hypothesis (REH), the model's full covariance structure is allowed to be time varying. The application is with a market model of the U.S. broiler industry; results indicate broiler production is responsive to time-varying price volatility, although the estimated effects are not large. The GARCH-M model is compared with one that uses a two-step approach. Evidence indicates the informationally efficient GARCH-M approach is superior.
  • Reese, R. A., Aradhyula, S. V., Shogren, J. F., & Tyson, K. S. (1993). Herbaceous biomass feedstock production: the economic potential and impacts on US agriculture. Energy Policy, 21(7), 726-734.
    More info
    Abstract: This paper addresses the economic feasibility and impacts on US agriculture of establishing a biomass crop industry capable of producing 8.4 m GJ of methanol or 9.9 m GJ of ethanol by the year 2030 from grasses grown as biomass feedstocks. The results suggest that such an industry could become commercially viable and that the agricultural economy would benefit. Producers of traditional and biomass crops would benefit most. Consumers and livestock producers would lose from higher crop prices, but these losses would be offset by gains to society from reduced government payments to crop producers. -Authors
  • Johnson, S. R., Wolcott, R., & Aradhyula, S. V. (1990). Coordinating agricultural and environmental policies: opportunities and tradeoffs. American Economic Review, 80(2), 203-207.
    More info
    Abstract: The general policy framework for agriculture in the US dates to the New Deal era of the 1930s. Since then, the US government has maintained policies to stabilize domestic markets for major program crops and maintain farm income. The present analysis of tradeoffs and opportunities through coordination of agricultural policy has quite modest objectives. The illustration provides an initial set of results on opportunities and tradeoffs, and perhaps a glimpse of the richness that awaits more detailed consideration of policy structure as an element of policy change. -from Authors
  • Aradhyula, S. V. (1987). Rational expectations and policy modeling: The case of wheat in India. Journal of Policy Modeling, 9(4), 667-670.
  • Satheesh, A. V., Sharma, B. M., & Sharma, V. K. (1985). Impact of diversification and liberal credit policy on income and employment of non-viable farmers in Pithapuram Block of East Godavari District (A.P.) ( India).. Indian Journal of Agricultural Economics, 40(3), 323-329.
    More info
    Abstract: Shows that the adoption of recommended technology coupled with an adequate credit facility under a crop-dairy-sericulture farming system stimulates the entire income potential and offers an economically viable and practically feasible solution to low incomes of the non-viable farmers. A liberal credit policy is found to be indispensable for pushing up the poorest farmers into high levels of income.-from AuthorsDiv of Agric Econ, Indian Agric Res Inst, New Delhi 12, India.

Others

  • Aradhyula, S. V., Rahman, T., Kohli, M., Megdal, S., & Moxley, J. (2010, Fall). Determinants of Environmental Noncompliance by Public Water Systems. Contemporary Economic Policy.
    More info
    Volume 28, Issue 2, pgs 264-274
  • Aradhyula, S. V., Thompson, G., Frisvold, G., & Tronstad, R. (2010, Fall). Does Paying Referees Expedite Reviews?: Results of a Natural Experiment. Southern Economic Journal.
    More info
    Volume 76, pgs 678-692
  • Aradhyula, S., & Tronstad, R. (2006, Fall). Estimating Seasonality in the Mean and Variance with ARCH Models. Advances in Econometrics: A Tribute to Stan Johnson. Berkeley Electronic Press.
  • Aradhyula, S., & Ergun, A. (2004, Fall). Trading Collar, Intraday Periodicity, and Stock Market Volatility. Applied Financial Economics.
    More info
    pgs 909-1013
  • Aradhyula, S., & Tronstad, R. (2003, Fall). Does Tourism Promote Cross-Border Trade?. American Journal of Agricultural Economics.
    More info
    Volume 85, pgs 569-579

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