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Exploring the importance of perceptions data for African firms, analyzing subjective survey data and firm-level characteristics to understand constraints and implications. Discusses the correlation between subjective and objective measures.
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What Matters to African Firms?The Relevance of Perceptions Data MichałOleksowicz 16.12.2010
Outline • Subjective Survey Data • What Matters to African Firms • Concerns • Conclusions
1. Data The importance of reliable data Macroeconomic data Subjective survey data • Easy available but rarely used by economists • What are the problems with this data?
1.1 Macroeconomic data Comparison of three sets of macroeconomic indexes: (export, import), (external, internal debt), (private, public savings) IMF, Central Bank of Nigeria, World Bank, UN Differences: • Data collection procedure • Definitions of macroeconomic variables • Different periods • Different currency
1.3 Survey data Source: Improving the Quality of Data and Impact- Evaluation Studies in Developing Countiries, 2010
1.4 Problems with subjective survey data • Ordering of questions (people attempt to provide consistent answers): „How happy are you with life in general?” „How often do you normally go out on a date?” • Question wording: „Do you think that United States should forbid public speeches against democracy?” „Do you think that United States should allow public speeches against democracy?”
1.5 Problems with subjective survey data (cont) • Scale presented to people: „How many hours of TV do youwatch per day?” • Little mental effort of respondents (subject pick the first or last available alternatives in a list) • Social nature of the survey Respondents avoid looking bad in front of the interviewer
1.6 Problems with subjective survey data (cont) • Non Attitudes, Wrong Attitudes • Attitudes are unstable over time • Respondents believe that they should have an opinion • Respondents may not understand why they did what they did
1.7 Firm level characteristics • Firm’s benchmarks may differ by country • Firm’s may not recognize the origin of their problem • Constraints bind firms simultaneously • Firm level characteristics may affect views on the severity of constraints
1.8 Implications • Measurement error • Mean of error term may not be zero • Error term may be correlated with observable and unobservable characteristics of individual • Subjective measures may be used as explanatory variables • Subjective measures can not be used as dependent variables
2.1 What Matters to African Firms • 26 countries • Three income groups: • Low income (per capita income < 400 $) • Lower middle income (400 $ < per capita income < 2000 $) • Upper middle income (per capita income> 2000 $)
2.2 Questionnaire Source: What Mattes to African Firms; The relevance of Perceptions Data 2007
2.3a Results, low income (elemental constraints) Source: What Mattes to African Firms; The relevance of Perceptions Data. 2007
2.3b Results, lower middle income(quality of governance) Source: What Mattes to African Firms; The relevance of Perceptions Data, 2007
2.3c Results, upper middle income(policy nature problems) Source: What Mattes to African Firms; The relevance of Perceptions Data, 2007
3. Correlation between firm perception and external data Source: What Mattes to African Firms; The relevance of Perceptions Data, 2007
3.1 Firm level characteristics • Do the responses at firm level relate to more „objective” measures of business climate • Probit regression:
3.2 Firm level characterisics Results: • firm size does not drive the severity of concern about electricity • Corruption is a more concern to larger firms • Tax admission is a more serious problem to exporting firms • Domestic firms complain more about access to finance
3.3 Camels and Hippos ? • Interviewing camels and hippos on a desert. What the real problem is? • Similarly firms in countries with low financial depth should be self- selected and not see financial constraint as a severe. In other words, do the ability to adjust weakens the perception of constraint?
3.4 Camels and Hippos ? (cont) Source: What Mattes to African Firms; The relevance of Perceptions Data, 2007
4. Conclusions • Perception data is usefull • Firms are bounded by a group of constraints subject to different income levels • Elemental constraints (electricity, access to finance, macro instability, access to land) • Governance constraints (tax rates, tax administration, corruption, crime) • Policy constraints (skilled workers, labor regulations) • Adapting to a problem does not mean that the problem is no longer recognized • Firm level characteristics affect firms views on the constraints • There is a correlations between subjective and objective measures
Bibliography • Ariyo A.. 1996. Quality of macroeconomic data on Afica: Nigeria as a case study • Bertrand M.,Mullainathan S.. 2001. Do Poeple Mean What They Say? Implications for Subjective Survey Data. • Gelb A., Ramachandran V., Shah M., Turner G.. 2007.What Mattes to African Firms; The relevance of Perceptions Data.