“There is nothing good or bad; thinking makes it so.” - William Shakespeare
I have always wondered
on the difference between ‘my world’, ‘your world’ and ‘THE world’. This has
prompted me to think on growth, development and success from various
viewpoints. I have also wondered on the excessive importance
placed by our policy makers and the media on the economic indicators like GDP.
While I understand that ‘money’, ‘wealth’, ‘richness’ and ‘finance’ are all
greatly important at micro and macro levels, I have felt that we often
exaggerate the importance of these terms in our personal and public lives.
There is a great importance for non-financial variables also in our lives and
society. This thought has prompted me to use my dissertation in my quest to
find the meaning and aim to which we perform all our businesses in life. Many a
times, we call this ‘feeling’ that we would like to attain, or
the level of ‘satisfaction’ that we aim in our activities as
“HAPPINESS”. Hence, I had combined my interest in economics and my thoughts on
aim and meanings of life’s activities to name my subject area of dissertation
in my master's course, to be broadly called ‘HAPPINESS ECONOMICS’.
Thus, I came to see
studies on happiness for the last few decades. Studies before 1970s were mainly
from psychology and other related social sciences. Economists became more
interested in it after Easterlin’s study (Does Economic Growth Improve the
Human Lot? Some Empirical Evidence; 1974). Bruno S. Frey, AloisStutzer, David G
Blanchflower , Andrew J Oswald, Richard Layard, Daniel Kahneman etc. have made
contributions to this field.
If we argue that the fundamental
philosophy behind economics is the pursuit of human happiness, then we should
study it directly ( Layard, 2005) and, although we cannot define happiness
(after all, happiness means different things to different people), we can
nevertheless ask people whether they feel happy or not ( Frey and Stutzer,
2002).
My study later narrowed down to happiness
in a particular sub sample, ie. University students in Chennai.
This semester was devoted to a pilot study
in this research. A questionnaire containing 30 questions, each question
corresponding to a particular factor affecting happiness, was send across all
students of Madras School of Economics (MSE), Chennai.
A Likert-type choice format was employed
to measure the students' level of satisfaction. This scale has been widely used
in prior research on wellbeing/satisfaction (Bradburn, 1969; Easterlin, 1974;
Di Tella, MacCulloch and Oswald 2001).
Earlier studies:
In a study by David G Blanchflower ,
Andrew J Oswald (1997), it would seem that happiness among young people rose
between the 1970s and 1990s (the time period covered by the data). One
explanation that they offered for this increase was education. Their data show
that Europeans with higher education (staying on school after 18) and under age
30 benefited the most from the subsequent ‘growth of happiness’.
Similar studies have been conducted
elsewhere. “Happiness In University Education” by Grace Chan, Paul W. Miller
and MoonJoong Tcha (International Review of Economics Education, volume 4,
issue 1 (2005), pp. 20-45), “What Makes University Students Happy?” by Esa
Mangeloja and Tatu Hirvonen are some examples. Many famous university rankings
like the QS World University Rankings have started considering “student
satisfaction” as one of the many factors affecting the rank of a university.
Interestingly, in such an inter-university comparison, universities like
Harvard and MIT which ranks high in student satisfaction also ranks high in
overall rankings. Universities like the London School of Economics and
Political Science, which are among reputed universities and which has a high
overall rank, has less student satisfaction than other top universities like
MIT and Oxford and thereby comes below these universities in overall rankings
(As per QS World University Rankings,2011). It can be noted that such studies are
helpful for both the student community, who are many a times confused on the
selection of the university and for the University management, who could work
on improving the student satisfaction.
So a study on happiness in educational
institutions and participants in educational institutions hold significance.
This satisfaction could be linked to a range of factors, including grades
achieved, friendships developed, school facilities, opportunities to
participate in extracurricular activities, and lecture quality. A systematic
study on this front has not occurred in India.
What did all these happiness researchers
discover?
Much of the research confirms things we’ve
always suspected. For example healthy people are happier than sick people. Rich
people are happier than poor people. And so on.
Sometimes, there have been some surprises.
For example, while all these things do make people happier, it’s astonishing
how little any one of them matters. A new house will make you happier, but not
much and not for long. As it turns out, people are not very good at predicting
what will make them happy and how long that happiness will last. They expect
positive events to make them much happier than those events actually do, and
they expect negative events to make them unhappier than they actually do. In
both field and lab studies, it has been found that winning or losing an
election, getting or not getting a promotion, passing or failing an exam—all
have less impact on happiness than people think they will.
A recent study showed that very few
experiences affect us for more than three months. When good things happen, we
celebrate for a while and then sober up. When bad things happen, we weep and
whine for a while and then pick ourselves up and get on with it.
Potential Use of the Study:
First, university policy-makers may be
able to use the results to identify the major determinants of student
satisfaction, and thus be well positioned to develop a learning environment
that will enhance students' university experience. For example, if there is a
positive and significant relationship between participating in extracurricular
activities and student satisfaction, school administrations could explicitly
encourage or even expect student participation in such activities. Second, the
research has the potential to provide new evidence on a range of topical issues
concerning university life, including the roles of students' allowances, job
income and grade achievements in influencing satisfaction. Third, the results
obtained may allow students to organize themselves in order to attain their
idea of the "good life".
Happiness Studies in News:
· According
to the Washington Post, a group of experts including Daniel Kahneman, a
psychologist who won the Nobel Prize in economics, met in December,2011 to draw
up measures of “subjective well-being”. The group is financed by the American
administration, and if its measures are deemed reliable they could become
official statistics. If so, America would become the latest country to clamber
aboard a happiness bandwagon. The French government started publishing its own
happiness indicator in 2009. Britain's Office for National Statistics has a
programme for measuring national well-being, and the Organisation for Economic
Co-operation and Development is drawing up guidelines so its members (mostly
the industrialised rich countries) can produce “well-being data”.
· World
Happiness Report was published. Commissioned for a United Nations Conference on
Happiness, under the auspices of the UN General Assembly, it bears the
imprimatur of Columbia University's Earth Institute and is edited by the
institute's director, Jeffrey Sachs, and two happiness experts, Richard Layard
of the London School of Economics and John Helliwell of the University of
British Columbia. The report finds that the world's happiest countries world
are in northern Europe (Denmark, Norway, Finland, Netherlands) and the most
miserable are in Africa (Togo, Benin, Central African Republic, and Sierra
Leone).
They argue that happiness can be measured
objectively; that it differs systematically across societies and over time;
that happiness has predictable causes and is correlated to specific things
(such as wealth, income distribution, health and political institutions); and
that therefore it should be possible for the government to create the right
conditions for happiness to flourish. The authors want governments to use
happiness as a guide to public policy, rather as they use gross national
product (GNP) now. But given governments' (and economists') recent record in
managing GNP, it is not clear whether it really would be such a good idea for
the government to decide it knows better than individuals do what constitutes
their happiness and how they can best pursue it.
Plans Ahead
The analysis of the questionnaire and its
comparison with similar studies has to be done. I plan to use an Ordered Probit
Model for such an analysis.
Earlier studies have come up with
conclusions like, students who had sufficient social relations were the happiest,
students doing part time jobs are happier etc. These results have to be
analysed with my data. The reasons for such an agreement/disagreement in result
also have to be evaluated.
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