The first essay of this dissertation examines the role of teacher characteristics in schools on student outcomes using datasets from TIMSS 1999 and TIMSS 2007 international tests. Taking an advantage that students have to take both mathematics and science subjects from different teachers, I use the method of First Difference (FD) analysis in order to remove the potential biases between teacher attributes and unobserved student characteristics. The findings show some contradictory outcomes between the FD analysis and ordinary least squares (OLS) analysis. The second essay looks into the problem of recruitment of well-qualified high school and college graduates to work as primary and secondary school teachers. I compare teacher salaries and benefits vis-à-vis other mathematics and science-oriented professions namely medical professions, engineers, accountants, scientists and nurses. In addition, I compare incomes between people who graduate from teacher colleges and non-teacher colleges. Using data from Thailand Labor Force Survey from 1985 to 2005, I find that teachers are the most poorly paid of all professions, including nurses. The difference in terms of an opportunity cost between male and female teachers is also striking. Among the graduates from teacher colleges, male graduates earn more than their peers if they chose other occupations whereas female graduates earn less if they make other choices. The third essay looks at the reasons teachers choose part-time jobs, the type of jobs they choose, and the amount of income they receive from these jobs, as well as factors influencing these decisions. I find that approximately 20-25% of Thai teachers participated in moonlighting activities. The majority of them have part-time jobs including tutoring, selling food and other products, and farming. Low salaries and high level of indebtedness are the most important factors associated with the increased likelihood of having a part-time job. However, economic status does not correlate significantly with their decision to tutor as their part-time job.

Thailand’s education system stands at a crossroads. Significant investment has widened access to education and the country performs relatively well in international assessments compared with its peers.

The first essay of this dissertation examines the role of teacher characteristics in schools on student outcomes using datasets from TIMSS 1999 and TIMSS 2007 international tests. Taking an advantage that students have to take both mathematics and science subjects from different teachers, I use the method of First Difference (FD) analysis in order to remove the potential biases between teacher attributes and unobserved student characteristics. The findings show some contradictory outcomes between the FD analysis and ordinary least squares (OLS) analysis. The second essay looks into the problem of recruitment of well-qualified high school and college graduates to work as primary and secondary school teachers. I compare teacher salaries and benefits vis-à-vis other mathematics and science-oriented professions namely medical professions, engineers, accountants, scientists and nurses. In addition, I compare incomes between people who graduate from teacher colleges and non-teacher colleges. Using data from Thailand Labor Force Survey from 1985 to 2005, I find that teachers are the most poorly paid of all professions, including nurses. The difference in terms of an opportunity cost between male and female teachers is also striking. Among the graduates from teacher colleges, male graduates earn more than their peers if they chose other occupations whereas female graduates earn less if they make other choices. The third essay looks at the reasons teachers choose part-time jobs, the type of jobs they choose, and the amount of income they receive from these jobs, as well as factors influencing these decisions. I find that approximately 20-25% of Thai teachers participated in moonlighting activities. The majority of them have part-time jobs including tutoring, selling food and other products, and farming. Low salaries and high level of indebtedness are the most important factors associated with the increased likelihood of having a part-time job. However, economic status does not correlate significantly with their decision to tutor as their part-time job.

Amartya Sen has made deep and lasting contributions to the academic disciplines of economics, philosophy, and the social sciences more broadly. He has engaged in policy dialogue and public debate, advancing the cause of a human development focused policy agenda, and a tolerant and democratic polity. This argumentative Indian has made the case for the poorest of the poor, and for plurality in cultural perspective. It is not surprising that he has won the highest awards, ranging from the Nobel Prize in Economics to the Bharat Ratna, India's highest civilian honor. This public recognition has gone hand in hand with the affection and admiration that Amartya's friends and students hold for him. This volume of essays, written in honor of his 75th birthday by his students and peers, covers the range of contributions that Sen has made to knowledge. They are written by some of the world's leading economists, philosophers and social scientists, and address topics such as ethics, welfare economics, poverty, gender, human development, society and politics. The second volume covers the topics of Human Development and Capabilities; Gender and Household; Growth, Poverty and Policy; and Society, Politics and History. It is a fitting tribute to Sen's own contributions to the discourse on Society, Institutions and Development. Contributors include: Bina Agarwal, Isher Ahluwalia, Montek S Ahluwalia, Ingela Alger, Muhammad Asali, Amiya Kumar Bagchi, Pranab Bardhan, Lourdes Benería, Sugata Bose, Lincoln C. Chen, Martha Alter Chen, Kanchan Chopra, Simon Dietz, Sakiko Fukuda-Parr, Jonathan Glover, Cameron Hepburn, Jane Humphries, Rizwanul Islam, Ayesha Jalal, Mary Kaldor, Sunil Khilnani, Stephan Klasen, Jocelyn Kynch, Enrica Chiappero Martinetti, Kirsty McNay, Martha C. Nussbaum, Elinor Ostrom, Gustav Ranis, Sanjay G. Reddy, Emma Samman, Rehman Sobhan, Robert M. Solow, Nicholas Stern, Frances Stewart, Ashutosh Varshney, Sujata Visaria, and Jörgen W. Weibull.