Mathematical Statistics for Applied Econometrics

References

[1] T. Amemiya. Introduction to Statistics and Econometrics. Harvard Uni-

versity Press, Cambridge, MA, 1994.

[2] Q. Ashraf and O. Galor. The “out of Africa” hypothesis, human genetic

diversity, and comparative economic development. American Economic

Review, 103(1):1–46, 2013.

[3] G. Bassett and R. Koenker. Asymptotic theory of least absolute error

regression. Journal of the American Statistical Association, 73(363):618–

622, September 1978.

[4] G. S. Becker. Economic Theory. Aldine Transaction, New Brunswick,

NJ, 2008.

[5] H. J. Bierens. Introduction to the Mathematical and Statistical Founda-

tions of Econometrics. Camb, New York, 2004.

[6] C. Borell. Lecture notes in measure theory. Webpage, January 2006.

[7] G. Casella and R. L. Berger. Statistical Inference. Duxbury, Pacific

Grove, CA, second edition, 2002.

[8] A. DasGupta. Asymptotic Theory of Statistics and Probability. Springer,

New York, NY, 2008.

[9] P. de Fermat. Letter from Fermat to Pascal. Webpage:

http://science.larouchepac.com/fermat/, 1654.

[10] B. de Finetti. Theory of Probability: A Critical Introductory Treatment,

volume 1. John Wiley & Sons, New York, NY, 1970.

[11] J. L. Doob. Stochastic Processes. John Wiley & Sons, New York, NY,

1953.

[12] J. Fox. Robust regression, CRAN.R-project.org/doc/contrib/Fox-

companion/appendix-robust-regression.pdf. January 2002.

[13] M. Friedman. Essays in Positive Economics, chapter The Methodology

of Positive Economics, pages 3–43. Chicago University Press, Chicago,

IL, 1953.

337

338 Mathematical Statistics for Applied Econometrics

[14] A. R. Gallant. Nonlinear Statistical Models. John Wiley & Sons, New

York, NY, 1987.

[15] T. Haavelmo. Prize lecture: Econometrics and the welfare state. Webpage

http://www.nobelprize.org/nobel prizes/economics/laureates/1989/,

April 2013.

[16] I. Hacking. The Emergence of Probability: A Philosophical Study of Early

Ideas about Probability, Induction and Statistical Inference. Cambridge

University Press, New York, NY, second edition, 2006.

[17] A. R. Hall. Generalized Method of Moments. Oxford University, New

York, NY, 2005.

[18] R. V. Hogg, J. W. McKean, and A. T. Craig. Introduction to Mathe-

matical Statistics. Pearson Prentice Hall, Upper Saddle River, NJ, sixth

edition, 2005.

[19] P. J. Huber. Robust Statistics. John Wiley & Sons, New York, NY, 1981.

[20] C. Huygens. The Value of All Chances in Games of Fortune; Cards, Dice,

Wagers, Lotteries etc. S. Keimer, 1714.

[21] S. Johansen. Likelihood Based Inference on Cointegration in the Vector

Autoregressive Model. Oxford University Press, second edition, 1996.

[22] D. W. Jorgenson. Dataverse – 35 sector klem. Webpage, July 2008.

Webpage http://scholar.harvard.edu/jorgenson/data.

[23] G. G. Judge, R. C. Hill, W. E. Griffiths, H. Lutkepohl, and T.-C. Lee.

Introduction to the Theory and Practice of Econometrics. John Wiley &

Sons, New York, NY, 1982.

[24] L. R. Klein. A Textbook of Econometrics. Row, Peterson, and Co.,

Evanston, IL, 1953.

[25] J. R. Kling, S. Mullainathan, E. Shafir, L. C. Vermeulen, and M. V.

Wrobel. Comparison friction: Experimental evidence from Medicare drug

plans. Quarterly Journal of Economics, 127(1):199–235, 2012.

[26] J. Kmenta. Elements of Econometrics. University of Michigan Press,

Ann Arbor, second edition, 1986.

[27] R. Koenker and G. Bassett. Regression quantiles. Econometrica,

46(1):33–50, 1978.

[28] S. Kullback. Information Theory and Statistics. Dover Publications, Mi-

neola, NY, 1968.

References 339

[29] J. R. Magnus and H. Neudecker. Matrix Differential Calculus with Ap-

plications in Statistics and Econometrics. Wiley & Sons, New York, NY,

revised edition, 1999.

[30] A. G. Malliaris. Stochastic Methods in Economics and Finance. North-

Holland, New York, NY, 1982.

[31] A. K. Mishra and C. B. Moss. Modeling the effect of off-farm income on

farmland values: A quantile regression approach. Economic Modelling,

32:361–368, 2013.

[32] C. B. Moss. Risk, Uncertainty, and the Agricultural Firm. World Scien-

tific, Hackensack, NJ, 2010.

[33] C. B. Moss and J. S. Shonkwiler. Estimating yield distributions using

a stochastic trend model and nonnormal errors. American Journal of

Agricultural Economics, 75(5):1056–1062, November 1993.

[34] C. B. Moss and T. G. Schmitz. A semiparametric estimator of the Zell-

ner production function for corn: Fitting the univariate primal. Applied

Economics, pages 863–7, 2006.

[35] S. Naidu and N. Yuchtman. Coercive contract enforcement: Law and the

labor market in nineteenth century Britain. American Economic Review,

103(1):107–144, 2013.

[36] C. H. Nelson. The influence of distributional assumptions on the calcu-

lation of crop insurance premia. North Central Journal of Agricultural

Economics, 12(1):71–78, January 1990.

[37] B. Norwood, M. C. Roberts, and J. L. Lusk. Ranking crop yield models

using out-of-sample likelihood functions. American Journal of Agricul-

tural Economics, 86(4):1032–1043, November 2004.

[38] K. Popper. The Logic of Scientific Discovery. Routledge Classics, New

York, NY, 2010.

[39] D. Salsburg. The Lady Tasting Tea: How Statistics Revolutionized Science

in the Twentieth Century. Henry Hold and Company, New York, NY,

2001.

[40] A. Sandmo. On the theory of the competitive firm under price uncer-

tainty. American Economic Review, 61(1):65–73, March 1971.

[41] L. J. Savage. The Foundations of Statistics. Dover Publications, New

York, NY, 1972.

[42] A. Schmitz, C. B. Moss, T. G. Schmitz, H. W. Furtan, and H. C. Schmitz.

Agricultural Policy, Agribusiness, and Rent-Seeking Behaviour. Univer-

sity of Toronto Press, Toronto, Canada, 2010.