Monday, April 1, 2019

Effect of Microcredit on Household Consumption

Effect of Micro ac reference work on Ho accustomhold Consumption1. foundationDespite the multitude of studies on microfinance, there still exits surprisingly picayune hard data on the executions of microcredit. This analysis focuses on the accomplishment of microcredit specifically on category consumption, and reviews relevant literature which addresses the relation amongst sign consumption and availability of microcredit.Traditionally Microcredit has been studied as a tool of poverty reduction by means of increase of consumption. A relatively recent shift in thinking has been to consider microcredit as a means to facilitate consumption shineing and build assets to protect against risks ahead of sequence and cope with shocks, leading to widespread poverty alleviation but not widespread poverty reduction.The review is divided into three sections based on the onset used to discipline the effect of microcredit. The first section examines the kit and caboodle of Pitt Khande ker and Morduch which use non-experimental methods to make claims of causal identification. This is followed by a look at random valuation studies performed and discusses their conclusions. The final section introduces Portfolios of the Poor by Daryl collins et al (2009), a descriptive study of the pecuniary activities of the pitiful.2. Literature reassessment2.1 Non-Randomised ApproachThe studies by Pitt Khandeker and Morduch atomic number 18 all based on the 1991-92 cross-section(a) survey of nearly 1800 kinfolks in Bangladesh served by microfinance programs of the Grameen Bank, the Bangladesh Rural Advancement committal (BRAC), and the Bangladesh Rural Development Board (BRDB). The sample also includes a ascendance group of households in beas not served by any microfinance programs.Pitt and Khandeker (1998 A) apply a quasi-experimental design to this data and use a regression-discontinuity design to estimate the bare(a) shams of microcredit while distinguishing borrowi ng by gender. The study obtains the result that annual household consumption expenditure increases 18 taka for every 100 additional taka borrowed by women as compared with 11 taka for men and whence concludes that microcredit increases household consumption.A winder to the identification strategy used in this study is the fact that the factors madcap credit choice be exogenous. One of these factors is the eligibility of households for credit (eligible if they own less(prenominal) than 0.5 acre). so far this factor as noted by Morduch (1998) suffers from considerable mistargeting boilers suit 20-30% of borrowers own more than the mandated threshold and are actually ineligible. Consequently a criticism of this paper would be that the lax implementation of program rules undermines the industry of the regression-discontinuity design.Morduch (1998) uses unsophisticatedr estimators as compared to Pitt and Khandeker (1998 A). The study regresses directly on the primary instruments f or credit, dummies for credit choice. Morduch measures the add up impact of microcredit by first performing simple difference-in-difference estimates and then adding runs. irrelevant to Pitt and Khandeker (1998 A), Morduch (1998) finds no real effect of microcredit on the level of consumption. He stock-still finds evidence that microcredit causes a decrease in the capriciousness of consumption (coefficient operative at 95% confidence) and also results in a smoothing of household travail supply (coefficient significant at 90% confidence). He asserts that consumption smoothing by households is driven by income smoothing but does not substantiate this with direct evidence.The chance of seasonal consumption smoothing by landless households (primarily engaged in agriculture) through credit is explored by another study by Pitt and Khandeker (1998 B) and is based on data from the same survey as the dickens papers discussed above. The present for this investigation is that, micro credit can help smooth seasonal consumption for credit constrained households by financing a new cultivatable act whose income flows that do not highly covary seasonally with income from agricultural pursuits. The econometric results generated are consistent with Morduchs assertion of consumption smoothing through income smoothing. The results strongly adumbrate that an important motivation for credit program participation is the need to smooth the seasonal embodiment of consumption and male push supply. For male lying-in supply, as with household consumption, it seems that these group-based credit programs i) have a pattern of seasonal effects that act to smooth flows over the seasons, and ii) have a pattern of self-selection in which those households with the experiencing cracking than average seasonal variation in flows are most likely to join the programs and borrow.A paper by Morduch and Roodman (2009) revisits the studies by Morduch (1998) and Pitt Khandekar (1998 B). A replication exercise followed by Two-Stage Least-Squares (2SLS) regression is performed for the twain, the result of which casts distrust on the positive results of both. In sequel of the Pitt and Kandeker finding, the replication generates results with opposite sign. However rather than microcredit macrocosm harmful, specification test call downs that the instrumentation strategy fails and that omitted variable star causation is driving the result.As for Morduch rebuilding the data set revealed errors regarding the labour supply variables of the original set. The changes weaken the result on consumption volatility causing the statistic to no longer be significant.The non-experimental studies discussed above face challenges in establishing causality. A chief problem is that since microfinance clients are self-selected, they are not parallel to non-clients. Also MFIs consumptionfully choose well-nigh villages (non- random program placement) and participants (client selectio n) and not others. While Difference in Difference estimates can control for inflexible differences surrounded by clients and non-clients, it is likely that participants in MFIs are on different trajectories plane in the absence of Microcredit, invalidating comparisons between clients and non-clients.2.2 Randomised military rankcondition the complexity of the identification problem, randomised evaluations are a viable approach to study the effects of microcredit since it ensures that the difference between residents in the control areas similitude the treatment areas is the greater ease of entranceway to microcredit.Banerjee (2010) conducts randomized evaluation of the impact of introducing microcredit in a new market. Half of 104 slums in Hyderabad, India were randomly selected for opening move of an MFI branch while the remainder were not. The outcomes in both sets of areas were compared using enwrapped to treat (ITT) estimates that is, simple comparisons of averages in tre atment and comparison areas, averaged over borrowers and non-borrowers.The results collection no impact on average consumption, however the effects discovered are heterogeneous and vary between households. Households who have a preexistent duty used microcredit to expand their existing ventures and show a significant increase in durable expenditure in treatment vs control areas. Households without a avocation but with a high propensity to deviate a business displayed a significant positive treatment effect on durable expense along with a decrease in non-durable spending. This reduction in nondurables spending could possibly be to facilitate a larger investment than received credit. Finally, household which didnt have a business and are less likely to start a business showed a significantly large increase in nondurable expenses.These results are echoed in a study by Crepon et al (2011) who conducted a similar evaluation at the extensive margin to check if the effects of the pro grams but changed the background to a rural setting in Morocco where both credit and business opportunities are thinner in order to check if the effects of the programs would be different.As a possible explanation to no evidence of a positive impact of microcredit on consumption universe found, the two studies suggest that, the households which increased durable spending may benefit from increased income and hence increased consumption in the future. In other words, the evaluation period may have been too short to capture the gains from investing in enterprise. Furthermore it would also be pertinent to observe whether households which increase non-durable spending and hence consumption continue to do so, given continued access to credit.2.3 Financial diariesWhile looking at the relationship between Microcredit and consumption, a longitudinal survey on how poor households manage specie and use pecuniary services would be insightful. The book Portfolios of the Poor by Daryl colli ns et al (2009) does this by constructing financial diaries for over 250 households, in Bangladesh, India and South Africa. To do a financial diary, a researcher visits a poor household repeatedly, say, every fortnight for a year, and gathers detailed information on transactions conducted by its members since the last visit. Through the data collection and the associated conversations the researcher has with the household, an inside portrait of the households financial life is compiled.The book emphasises and shows evidence for the assertion that poor households faced with low and variable income look at all financial services to turn small, frequent pay-ins into occasional, large pay-outs and to smooth the mismatch between fluctuating income and steady outflows. Towards this end, MFIs by providing a reliable source of credit is of great help to the poor. However the canonical form of microcredit bears the disadvantage of being too rigid so as to address all credit needs of the p oor (expenditure shocks like unexpected health expenses) and hence the household portfolios feature a diverse range of credit sources both schematic and informal.Since they present an intricate picture of the transactions undertaken by the household, financial diaries, and for the purpose of this review the Grameen II financial diaries present a great hazard to study how microcredit is actually used by the poor. The rest of this section presents a short review presented in the book, in order to give a flavour of the type of inferences which can be drawn from these types of studies.In the future(a) table, 237 loans make by 43 households who were a part of the Grameen II financial diaries are classified into 6 main uses.Taking the first two categories to be productive use of loan, it is observed that roughly half the loans made fell into this category (48% of all loans and 53% of the loan encourage). This however does not mean that half of the clients use the credit provided for p roductive expenses. Of the 43 households in the sample, just 6 were responsible for three lodge of the loan value in the biggest category business and also were recipients of two thirds of the loans issued in this category. These 6 households all have established businesses and borrow to debase stock as often as they are permitted.From this brief and simple look at the financial diaries we observe that, there is a great diversity to the activities the poor use microfinance for, also there is concentration of some uses among distinct types of users. Further, while investment uses account for more than half the value of loans disbursed, it is concentrated among the relatively well placed borrowers. Finally, the claim can presumptively be made that the unproductive uses of loans made by the households are being used for consumption smoothing.ConclusionBased on the literature discussed by this review, while the shift to randomised evaluations from non-randomised studies in studying t he effect of microcredit is smashing (considering the relative advantages provided by the former). The effect of microcredit on the consumption levels of households continues to remain perplexing based on the present academic literature available. Whereas in the case of microcredit inducing consumption smoothing, there simply has not been enough study done exploring this perspective. In order to measure both the effect on both consumption level and consumption smoothing information on money management by poor households is required for many months if not years. The postulate measure series data can be obtained using the time intensive financial diaries method. Moreover an optimal research portfolio should probably mix the randomised approach with the financial diaries approach.Word Count 1990ReferencesBanerjee, A., E. Duflo, R. Glennerster and C. Kinnan (2010), The miracle of microfinance? Evidence from a randomized evaluation.. MIT working paper.Collins, D., J, Morduch, S. Rut herford and O Ruthven, Portfolios of the Poor, BookCrepon, B., F, Devoto, E Duflo, W Pariente (2011), affect of microcredit in rural areas of Morocco Evidence from a Randomized Evaluation, MIT Working paperMorduch, J. (1998). .Does Microfinance Really Help the Poor? Evidence from Flagship Pro-grams in Bangladesh, Hoover Institution, Stanford U. working paper.Morduch, J. and Roodman, D. (2009), The Impact of microcredit on the poor in Bangladesh Revisiting the evidence, centre of attention for Global Development Working Paper No. 174.Pitt, Mark and Shahidur Kandker (1998 A), The Impact of Group-Based Credit Programs on Poor Households in Bangladesh Does the Gender of Participants Matter? journal of Political Economy, October.Pitt, Mark and Shahidur Kandker (1998b), Credit Programs for the Poor and Seasonality in Rural Bangladesh, dark-brown University and World Bank, draft, January 9.

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