Introduction to the Economics of Development (PDF)

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This document covers the theoretical concept of poverty traps and randomized control trials related to economic development. It also discusses the economic concept of misallocation and how they impact individuals' total assets over time.

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Introduction to the Economics of Development 4. Why Do People Stay Poor? Luke Heath Milsom AY 2024-25 [email protected] What we will cover today The theoretical concept of poverty traps. The logic and practice of randomized control trials. The economic concep...

Introduction to the Economics of Development 4. Why Do People Stay Poor? Luke Heath Milsom AY 2024-25 [email protected] What we will cover today The theoretical concept of poverty traps. The logic and practice of randomized control trials. The economic concept of misallocation. Main citation: “Why Do People Stay Poor” Balboni, Bandiera, Burgess, Ghatak, and Heil (2022) 1 Focus on the individual Two main views... The poor are poor today because they are “different” in terms of ability, talent, or motivation. Differences. The poor are poor today because they were poor yesterday. Poverty trap. 2 Why do we care? Intellectual curiosity — gain a better understanding of how the world works. Practical use — the answer influences policy. Goal: Poverty irradiation. Policy prescription: Differences ⇒ focus on equalising: education, equal opportunity etc. Poverty trap ⇒ focus on one-off big push interventions. 3 The question Q: Do people stay poor because of differences or poverty traps? Approaches to find an answer: 1. Look for differences between poor and rich people. 2. Equalize differences (more education) between poor and rich people. 3. Over time see if relatively richer poor people “escape” poverty. 4. Give some poor people resources and see if they can then “escape” poverty. 4 The Econ approach working out how to answer the question Q: Do people stay poor because of differences or poverty traps? 1. Formalise the problem “What should we look for in the data?” Requires (some) economic theory. Allows one to make precise predictions. 2. Test empirically using data. Requires (some) econometric theory. Allows one to precisely test the precise predictions made above. 5 Step 1: Formalise the problem Aim: Find the simplest possible theory that produces an empirical test and clear assumptions. We want to be able to say: If variable X does Y when Z happens then the answer is poverty traps assuming assumptions A, B, C hold. 6 What ingredients do we need Theory must allow for poverty traps. Theory must allow for individual differences. We are interested in modeling individuals’ total assets. 7 The beginning Let us model an individual (or household) which we call i. We shall focus on the value of i’s total assets which we denote Ki. Poverty traps necessarily happen over time, which we denote by t. Therefore we will focus on how Kit changes over time. 8 How does Kit change over time? How do we get from Kit to Kit+1. Let’s keep things as simple as possible. The amount of stuff I have today is equal to: The amount of stuff I had yesterday = Kit Plus the new stuff I bought = Iit Minus the stuff that broke or otherwise depreciated = dit So: Kit+1 = Kit + Iit − dit an accounting identity. 9 How does Kit change over time? — some assumptions. Assumption 1 [A1]: Assets depreciate at a constant rate d ⇒ dit = d · Kit. Assumption 2 [A2]: Individuals save a constant proportion s of their income Yit and invest all savings ⇒ Iit = s · Yit. So now: Kit+1 = Kit + s · Yit − d · Kit 10 WTF is Yit Yit is individual income. We focus on a world of self-employment. Smallholder farmers, street vendors etc. Income is a function of your assets more farming equipment, fields, food prep equipment, ingredients etc equals more income. Yit = f (Kit ). 11 Yit = f (Kit ) Still very general. But, there is a problem: Yit = f (Kit ) implies that if everyone had the same Kit everyone would also have the same income. ⇒ differences are purely a function of your initial stock of assets. Why is this a problem? 1. Doesn’t allow for the differences answer. 2. It’s hard to get data on the initial stock of assets. 3. Too far removed from real life to be realistic. 12 Yit = f (Kit ) Still very general. But, there is a problem: Yit = f (Kit ) implies that if everyone had the same Kit everyone would also have the same income. ⇒ differences are purely a function of your initial stock of assets. Why is this a problem? 1. Doesn’t allow for the differences answer. 2. It’s hard to get data on the initial stock of assets. 3. Too far removed from real life to be realistic. Augment with individual productivity [A3] ⇒ Yit = Ai · f (Kit ). 12 Putting it all together We have constructed a “transition equation”: Kit+1 = Kit + s · Ai f (Kit ) − d · Kit Kit+1 = s · Ai f (Kit ) + (1 − d) · Kit Recall the point of all this: To have precise empirical predictions allowing us to answer differences or poverty traps under a set of clearly articulated assumptions. 1. Differences: Different Ai will lead to different assets today and tomorrow. 2. Poverty traps: ??? the function f (·) is key. 13 f (·) determines the existence of poverty traps 14 f (·) determines the existence of poverty traps If we look at the distribution of Kit in a sample and find two humps, then this implies... 1. The differences explanation holds. 2. The poverty trap explanation holds. 3. Can’t tell. Can’t tell! Need to know the shape of f (·), is it S?. The existence of some threshold K̄ implies an S shape. 15 We have a precise prediction! If we can find evidence for a threshold then we have evidence for the poverty trap explanation! Assumptions we have made: A1 Assets depreciate at a constant rate. A2 Individuals save a constant proportion of their income and invest all savings. A3 Income is given by Yit = Ai · f (Kit ). 16 We have a precise prediction! If we can find evidence for a threshold then we have evidence for the poverty trap explanation! Assumptions we have made: A1 Assets depreciate at a constant rate. A2 Individuals save a constant proportion of their income and invest all savings. A3 Income is given by Yit = Ai · f (Kit ). Are any of the above crucial? Are there any hidden assumptions? Group discussion :) 16 Defend your assumptions! 17 Recap Step one of the Econ Method done! 1. Formalise the problem “What should we look for in the data?” Requires (some) economic theory. Allows one to make precise predictions. 2. Test empirically using data. Requires (some) econometric theory. Allows one to precisely test the precise predictions made above. On to step two... 18 How do we test this empirically? Q: Do people stay poor because of differences or poverty traps? A: If we can find evidence for a threshold then we have evidence for the poverty trap explanation! How do we find evidence of a threshold? 19 Idea 1 In some base period look at levels of assets Ki0. For different levels of Ki0 see what happens to assets at t = 1, 2, 3, 4,.... For low levels of Ki0 we expect future assets to stay around Ki0 (below the threshold). For high levels of Ki0 we expect future assets to increase over time (above the threshold). Where the change happens, is where K̄ is — easy! Will this work? 20 The problem — Identification Suppose we enact idea one. We find some K̄ above which people mainly get richer and below which people mainly don’t. Can we explain this with poverty traps? Can we explain this with differences? We have an identification problem. From the empirical evidence gathered we can’t separately identify either two explanation. Why does this problem occur? Endogeneity. 21 Endogeneity People with initial high levels of Ki0 are a not a random group of people. On average they will be more productive i.e. have higher Ai. Higher Ai will also cause higher Kit in the future. This is a general problem. Another unrelated example: People who spend longer in school have higher wages therefore school causes higher income. But only those with higher “ability” spend longer in school. Ability causes higher income. 22 Overcoming endogeneity and solving the identification problem Solving these problems takes up most of an applied economist’s time. There are various approaches, we will see some in this course. Let’s start with the most straightforward. A randomized control trial (RCT). 23 An RCT Randomly change Ki0. Then see what happens to assets after. Look for evidence for a threshold. As we have broken the link between Ki0 and Ai endogeneity is no longer a concern. If we find such a K̄ the only explanation is poverty traps. We have solved the identification problem! 24 An aside: RCT ethics In an RCT you are experimenting on people, ethics are a first-order concern. If you randomly give out assets some people could become worse off, this is unethical. Why couldn’t you give more assets to the control group? Power imbalances. Many questions are unanswerable with RCTs. 25 Operationalising the RCT Based on the initial distribution of Ki0 find a candidate K̄. Randomly shock some individuals assets individuals have Ki1 = Ki0 + Ti , where Ti = t if treated and Ti = 0 if in the control group. Compare assets over time of those treated above move above the threshold with those in the control group. If treated have assets rising or persistently higher than the control it implies poverty traps are the answer. 26 This lecture key concepts The Econ method of answering questions. How to formalise and abstract to generate empirical predictions. Identification Endogeneity RCTs 27 Next lecture Put the above into practice following Balboni et al. (2022) in Bangladesh. Talk about mechanisms and missallocation. Discuss another use for economic theory: Counterfactuals. External validity and other pitfalls of RCTs. Come to an answer to our first question: “Why do people stay poor?” 28

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